Learning Python 3 with the Linkbot/Printable version
This is the print version of Learning Python 3 with the Linkbot You won't see this message or any elements not part of the book's content when you print or preview this page. |
The current, editable version of this book is available in Wikibooks, the open-content textbooks collection, at
https://en.wikibooks.org/wiki/Learning_Python_3_with_the_Linkbot
Authors
The original authors and contributors for the original text as of this writing are:
- Mike Challender
- Ryan Uebner
- David Ko (User:Davidko_barobo)
- Natalie Ryland
- Graham Ryland
- Aaron Cooper
- Dylan Besk
Additional Contributors
[edit | edit source]- Josh Cogliati (User:Jrincayc), jjcogliati-jan2007 AT yahoo.com
- Mitchell Aikens, LGIT, WSIT, AAS (User:msaikens)
- Kiah Morante (User:greenmanwitch)
- Elizabeth Cogliati
- James A. Brown
- Joe Oppegaard
- Benjamin Hell (User:Siebengang)
Installation and Setup
Installing Python and the Linkbot Control Module (PyBarobo)
[edit | edit source]For Python programming, you need a working Python installation and a text editor. Python comes with its own editor IDLE, which is quite nice and sufficient for the beginning programmer. As you get more into programming, you will probably switch to some other editor like emacs, vi or another editor.
The Python download page is: https://www.python.org/downloads/. The most recent version is Python 3.10.6 (as of 8th August 2022); Python 2.7 and older versions will not work with this tutorial. There are various different installation files for different computer platforms available on the download site. Here are some specific instructions for the most common operating systems:
Ubuntu Linux Users
[edit | edit source]To install everything you need to run this curriculum, which includes Python 3, Python 3 setup tools, and the Barobo Python package, make sure you have an internet connection and run these commands in a terminal window:
sudo apt-get install python3 python3-setuptools python3-numpy idle3
sudo easy_install3 pybarobo
You will also have to add your user account to the "dialout" group. You can do this by using the command:
sudo usermod -a -G dialout $USER
The above command will add whatever user you are logged in as to the "dialout" group. If you wish to add a user account that is not the one that is logged in, replace "$USER" with the user name of the other account. You may have to log out and log back in for the change to take effect.
For other distributions of Linux, follow the instructions provided by either your distribution or on the Python website to get Python 3, NumPy, and PyBarobo installed.
Raspberry Pi (Raspbian) Users
[edit | edit source]Raspbian comes with Python 3 and numpy installed by default. To get the Raspberry Pi ready to control the Linkbot, make sure your Pi is connected to the internet and type the following commands:
sudo usermod -a -G dialout $USER
sudo apt-get install python3-setuptools
sudo easy_install3 pybarobo
You may have to log out and log back in again for the changes to take effect.
Mac users
[edit | edit source]Starting from Mac OS X (Tiger), Python ships by default with the operating system, but you will need to update to Python 3 until OS X starts including Python 3 (check the version by starting python3 in a command line terminal). Also IDLE (the Python editor) might be missing in the standard installation. If you want to (re-)install Python, get the MacOS installer from the Python download site.
Windows users
[edit | edit source]Download the appropriate Windows installer (the x86 MSI installer, if you do not have a 64-bit AMD or Intel chip). Even if you do have a 64-bit chip, I would still recommend downloading the 32-bit version because some of the Barobo Linkbot libraries are pre-built for 32-bit system by default. Start the installer by double-clicking it and follow the prompts. Be sure to include the optional package "pip", which can come in handy for installing additional Python modules and add-ons.
Note! The latest Python 3.4.1 installer can help set your path for you. If you are installing Python 3.4.1 on Windows, select Install for all users. There will be an installation step called Customize Python 3.4.1 . During this step, if you scroll down to the last entry of customizable options, you will see an option that reads Add python.exe to Path. By default, this setting is set to Entire feature will be unavailable. Change the install setting to Will be installed on the local hard drive to automatically add Python to your path. Once this is done, you will no longer need to follow the instructions in the following section titled "Configuring your PATH environment variable" |
Once Python is installed and the path is configured, open a command prompt and type the following command:
pip install pybarobo
See https://docs.python.org/3/using/windows.html#installing-python for more information.
Configuring your PATH environment variable
[edit | edit source]The PATH environment variable is a list of folders, separated by semicolons, in which Windows will look for a program whenever you try to execute one by typing its name at a Command Prompt. You can see the current value of your PATH by typing this command at a Command Prompt:
echo %PATH%
The easiest way to permanently change environment variables is to bring up the built-in environment variable editor in Windows. How you get to this editor is slightly different on different versions of Windows.
On Windows 8: Press the Windows key and type Control Panel to locate the Windows Control Panel. Once you've opened the Control Panel, select View by: Large Icons, then click on System. In the window that pops up, click the Advanced System Settings link, then click the Environment Variables... button.
On Windows 7 or Vista: Click the Start button in the lower-left corner of the screen, move your mouse over Computer, right-click, and select Properties from the pop-up menu. Click the Advanced System Settings link, then click the Environment Variables... button.
On Windows XP: Right-click the My Computer icon on your desktop and select Properties. Select the Advanced tab, then click the Environment Variables... button.
Once you've brought up the environment variable editor, you'll do the same thing regardless of which version of Windows you're running. Under System Variables in the bottom half of the editor, find a variable called PATH. If there is one, select it and click Edit.... Assuming your Python root is C:\Python34, add these two folders to your path (and make sure you get the semicolons right; there should be a semicolon between each folder in the list):
C:\Python34 C:\Python34\Scripts
Note: If you want to double-click and start your Python programs from a Windows folder and not have the console window disappear, you can add the following code to the bottom of each script:
print("Hello World")
#stops console from exiting
end_prog = ""
while end_prog != "q":
end_prog = input("type q to quit")
Intro
First things first
[edit | edit source]The Advanced Python 3 lessons before you are geared toward furthering your knowledge and abilities with programming using Python. The tutorials are designed to allow you to interact with the Linkbot robots by programming them to move in very specific ways. By seeing the Linkbot respond to your programming commands via code that you write, your abilities to use Python coding will motivate you to learn even more. First, you will just type in the code that is displayed in the tutorial to see how the Linkbot responds. Then, you will make your own changes to that code to play around with the Linkbot's abilities. The worst thing that can happen is that the program won't work and nothing will happen with the robot, so feel free to play with the code. When you are expected to type in code, it will look like this:
##Python is easy to learn
print("Hello, World!")
The reason that it will be formatted this way is to make code you need to type easy to distinguish from other text. Additionally, the code will be in color with different parts in different colors to help you see the code's distinct parts. When you enter code, it will not necessarily be in color, but it won't matter as long as you type it the same way that it is written here.
If the computer prints something out it will be formatted like this:
Hello, World!
(Note that printed text goes to your screen, and does not involve paper. Before computers had screens, the output of computer programs would be printed on paper.)
Please notice that these Advanced Python lessons are set up for Python 3, which means that most of the examples will not work in Python 2.7 and previous versions. Additionally, some of the extra lessons created by other programmers like you may not have been converted to Python 3. However, the differences between one version of Python and another are not really large, so if you learn how to code in one version, you should be able to read programs written for the other version without too much difficulty. At some point, you might want to look at the Non-Programmer's Tutorial for Python 2.6.
There will often be a mixture of the text you type (which is shown in bold) and the text the program prints on the screen, which would look like this:
Halt! Who Goes there? Linkbot You may pass, Linkbot
These lessons will introduce you to the terminology or vocabulary of programming. For example, programming is also often called coding or hacking. By learning the special vocabulary of programming, you will be able to understand what programmers are talking about and sound like a programmer yourself.
Finally, it's very important for your success with these lessons that you have Python 3 software. If you don't already have the Python software, go to http://www.python.org/download/ and get the Python 3 version for your computer platform. Most likely if you are learning in a classroom, your teacher will already have done this for you beforehand. If not, download it, read the instructions, and install the program.
Installing Python and the Linkbot Control Module (PyBarobo)
[edit | edit source]For Python programming, you need a working Python installation and a text editor. Python comes with its own editor IDLE, which is quite nice and sufficient for the beginning programmer. As you get more into programming, you will probably switch to some other editor like emacs, vi or another editor.
The Python download page is: http://www.python.org/download. The most recent version is Python 3.4.2 (as of 18th October 2014); Python 2.7 and older versions will not work with this tutorial. There are various different installation files for different computer platforms available on the download site. Here are some specific instructions for the most common operating systems:
Ubuntu Linux Users
[edit | edit source]To install everything you need to run this curriculum, which includes Python 3, Python 3 setup tools, and the Barobo Python package, make sure you have an internet connection and run these commands in a terminal window:
sudo apt-get install python3 python3-setuptools python3-numpy idle3 sudo easy_install3 pybarobo
You will also have to add your user account to the "dialout" group. You can do this by using the command:
sudo usermod -a -G dialout $USER
The above command will add whatever user you are logged in as to the "dialout" group. If you wish to add a user account that is not the one that is logged in, replace "$USER" with the user name of the other account. You may have to log out and log back in for the change to take effect.
For other distributions of Linux, follow the instructions provided by either your distribution or on the Python website to get Python 3, NumPy, and PyBarobo installed.
Raspberry Pi (Raspbian) Users
[edit | edit source]Raspbian comes with Python 3 and numpy installed by default. To get the Raspberry Pi ready to control the Linkbot, make sure your Pi is connected to the internet and type the following commands:
sudo usermod -a -G dialout $USER sudo apt-get install python3-setuptools sudo easy_install3 pybarobo
You may have to log out and log back in again for the changes to take effect.
Mac users
[edit | edit source]Starting from Mac OS X (Tiger), Python ships by default with the operating system, but you will need to update to Python 3 until OS X starts including Python 3 (check the version by starting python3 in a command line terminal). Also IDLE (the Python editor) might be missing in the standard installation. If you want to (re-)install Python, get the MacOS installer from the Python download site.
Windows users
[edit | edit source]Download the appropriate Windows installer (the x86 MSI installer, if you do not have a 64-bit AMD or Intel chip). Even if you do have a 64-bit chip, I would still recommend downloading the 32-bit version because some of the Barobo Linkbot libraries are pre-built for 32-bit system by default. Start the installer by double-clicking it and follow the prompts. Be sure to include the optional package "pip", which can come in handy for installing additional Python modules and add-ons.
Note! The latest Python 3.4.2 installer can help set your path for you. If you are installing Python 3.4.2 on Windows, select Install for all users. There will be an installation step called Customize Python 3.4.2 . During this step, if you scroll down to the last entry of customizable options, you will see an option that reads Add python.exe to Path. By default, this setting is set to Entire feature will be unavailable. Change the install setting to Will be installed on the local hard drive to automatically add Python to your path. Once this is done, you will no longer need to follow the instructions in the following section titled "Configuring your PATH environment variable" |
Next, you will need to install a driver, which is available here: Installer. Follow the link, download the file and run it. Once Python is installed and the path is configured, open a windows command prompt and type the following command:
pip install pybarobo
See https://docs.python.org/3/using/windows.html#installing-python for more information.
Configuring your PATH environment variable
[edit | edit source]The PATH environment variable is a list of folders, separated by semicolons, in which Windows will look for a program whenever you try to execute one by typing its name at a Command Prompt. You can see the current value of your PATH by typing this command at a Command Prompt:
echo %PATH%
The easiest way to permanently change environment variables is to bring up the built-in environment variable editor in Windows. How you get to this editor is slightly different on different versions of Windows.
On Windows 8: Press the Windows key and type Control Panel to locate the Windows Control Panel. Once you've opened the Control Panel, select View by: Large Icons, then click on System. In the window that pops up, click the Advanced System Settings link, then click the Environment Variables... button.
On Windows 7 or Vista: Click the Start button in the lower-left corner of the screen, move your mouse over Computer, right-click, and select Properties from the pop-up menu. Click the Advanced System Settings link, then click the Environment Variables... button.
On Windows XP: Right-click the My Computer icon on your desktop and select Properties. Select the Advanced tab, then click the Environment Variables... button.
Once you've brought up the environment variable editor, you'll do the same thing regardless of which version of Windows you're running. Under System Variables in the bottom half of the editor, find a variable called PATH. If there is one, select it and click Edit.... Assuming your Python root is C:\Python34, add these two folders to your path (and make sure you get the semicolons right; there should be a semicolon between each folder in the list):
C:\Python34 C:\Python34\Scripts
Note: If you want to double-click and start your Python programs from a Windows folder and not have the console window disappear, you can add the following code to the bottom of each script:
print("Hello World")
#stops console from exiting
end_prog = ""
while end_prog != "q":
end_prog = input("type q to quit")
Interactive Mode
[edit | edit source]Go into IDLE (also called the Python GUI). You should see a window that has some text like this:
Python 3.0 (r30:67503, Dec 29 2008, 21:31:07) [GCC 4.3.2 20081105 (Red Hat 4.3.2-7)] on linux2 Type "copyright", "credits" or "license()" for more information. **************************************************************** Personal firewall software may warn about the connection IDLE makes to its subprocess using this computer's internal loopback interface. This connection is not visible on any external interface and no data is sent to or received from the Internet. **************************************************************** IDLE 3.0 >>>
The >>>
is Python's way of telling you that you are in
interactive mode. In interactive mode what you type is immediately
run. Try typing 1+1
in. Python will respond with 2
.
Interactive mode allows you to test out and see what Python will do.
If you ever feel you need to play with new Python statements, go into
interactive mode and try them out.
Creating and Running Programs
[edit | edit source]Go into IDLE if you are not already. In the menu at the top, select File
then New Window
. In the new window that appears, type the following:
print("Hello, World!")
Now save the program: select File
from the menu, then Save
. Save it as "hello.py
" (you can save it in any folder you want). Now that it is saved it can be run. Just a Rookies note here, if you change a program, save it with a version notation like helloV1.py
that way you won't change your original program that worked.
Next run the program by going to Run
then Run Module
(or if you have an older version of IDLE use Edit
then Run script
). This will output Hello, World!
on the *Python Shell*
window.
For a more in-depth introduction to IDLE, a longer tutorial with screenshots can be found at http://hkn.eecs.berkeley.edu/~dyoo/python/idle_intro/index.html
Program file names
[edit | edit source]It is very useful to stick to some rules regarding the file names of Python programs. Otherwise some things might go wrong unexpectedly. These don't matter as much for programs, but you can have weird problems if you don't follow them for module names (modules will be discussed later).
- Always save the program with the extension .py. Do not put another dot anywhere else in the file name.
- Only use standard characters for file names: letters, numbers, dash (-) and underscore (_).
- White space (" ") should not be used at all (use underscores instead).
- Do not use anything other than a letter (particularly no numbers!) at the beginning of a file name.
- Do not use "non-english" characters (such as ä, ö, ü, å or ß) in your file names—or, even better, do not use them at all when programming.
Using Python from the command line
[edit | edit source]If you don't want to use Python from the command line, you don't have to, just use IDLE. To get into interactive mode just type python3
without any arguments. To run a program, create it with a text editor (Emacs has a good Python mode) and then run it with python3 program_name
.
Additionally, to use Python within Vim, you may want to visit Python wiki page about VIM
Running Python Programs in *nix
[edit | edit source]If you are using Unix (such as Linux, Mac OS X, or BSD), if you make the program executable with chmod, and have as the first line:
#!/usr/bin/env python3
you can run the python program with ./hello.py
like any other command.
Where to get help
[edit | edit source]At some point in your Python career you will probably get stuck and have no clue about how to solve the problem you are supposed to work on. This tutorial only covers the basics of Python programming, but there is a lot of further information available.
Python documentation
[edit | edit source]First of all, Python is very well documented. There might even be copies of these documents on your computer, which came with your Python installation:
- The official Python 3 Tutorial by Guido van Rossum is often a good starting point for general questions.
- For questions about standard modules (you will learn what this is later), the Python 3 Library Reference is the place to look at.
- If you really want to get to know something about the details of the language, the Python 3 Reference Manual is comprehensive but quite complex for beginners.
Python user community
[edit | edit source]There are a lot of other Python users out there, and usually they are nice and willing to help you. Before you ask the Python user community a question, everyone will appreciate it if you do a web search for a solution to your problem before contacting the community. This very active user community is organized mostly through mailing lists and a newsgroup:
- The tutor mailing list is for people who want to ask questions regarding how to learn computer programming with the Python language.
- The python-help mailing list is python.org's help desk. You can ask a group of knowledgeable volunteers questions about all your Python problems.
- The Python newsgroup comp.lang.python (Google groups archive) is the place for general Python discussions, questions, and the central meeting point of the community.
- Python wiki has a list of local user groups, you can join the group mailing list and ask questions. You can also participate in the user group meetings.
Hello, World
Lesson Information **To Be Added** Vocabulary: Python Editor: a program used to create a block of text that will be sent to Python and interpreted. In this book we recommend IDLE 3. Line: a single sentence of programming code. Lines of code can be used to measure the size of a program and compare it to other programs. Function: a type of procedure or routine, a set of instructions to follow. Argument: data provided to a function as input. This is like the domain in algebra. String: a sequence of characters representing either a constant or a variable. Function Call: Necessary Materials and Resources: Computer Science Teachers Association Standards: L1:3.CT.4:Recognize that software is created to control computer operations Common Core Math Practice Standards: CCSS.MATH.PRACTICE.MP5 Use appropriate tools strategically.
What you should know
[edit | edit source]Once you've completed this chapter, you will know how to edit programs in a Python Editor, IDLE 3, or some other text editor, save them, and run them.
Printing
[edit | edit source]Since the beginning of programming tutorials, "Hello World!"[1] has been the first foray into creating something on the screen, here is how to do it with Python:
print("Hello, World!")
If you are using the command line to run this program, then type it in a text editor, save it as hello.py
and run it with python3.0 hello.py
Otherwise go into your Python Editor, create a new file (Ctrl + N for IDLE), and create the program as in section Creating and Running Programs.
When this program is run here's what it prints:
Hello, World!
Remember, whenever you see code as an example, it's a good idea for you to type it in and run it. Learning by doing can be a powerful tool! It is worth the time it takes.
Here is a modified 'Hello World' using the Linkbot to say hello. Comments are added to help you understand what the code is doing step by step.
import barobo #loads 'barobo' module
import time #loads 'time' module
dongle = barobo.Dongle() #uses commands from 'barobo' to connect Linkbot
dongle.connect()
robotID = input('Enter Linkbot ID: ') #prompts user for Linkbot ID
robot = dongle.getLinkbot(robotID)
print ( 'Hello Linkbot Programmer' ) #prints greeting
robot.setBuzzerFrequency(1047) #calls for pizo buzzer to make a tone
time.sleep(0.25) #sets duration of tone
robot.setBuzzerFrequency(1567) #changes tone
time.sleep(0.5)
robot.setBuzzerFrequency(0) #turns off tone.
Feel free to chance the frequency of the buzzer to change the tone, and the duration of time.sleep to see what that does to the greeting.
Now here is are a few more program:
print("I pledge allegiance to the flag")
print("of the United States of America,")
print("and to the republic, for which it stands,")
When you run this program it prints out:
I pledge allegiance to the flag of the United States of America, and to the republic, for which it stands,
When the computer runs this program it first sees the line (like one sentence of code):
print("I pledge allegiance to the flag")
so the computer prints:
I pledge allegiance to the flag
Then the computer goes down to the next line and sees:
print("of the United States of America,")
So the computer prints to the screen:
of the United States of America,
The computer keeps looking at each line, follows the command and then goes on to the next line. The computer keeps running commands until it reaches the end of the program.
Controlling a Linkbot LED Color
[edit | edit source]Linkbots are equipped with a multi-color LED, which is basically just a light that can change colors. Lets try a simple program to control the LED color on a Linkbot. To get started, follow these steps:
- Turn on your Linkbot by holding down the power button until the Linkbot flashes a bright red light.
- After about 5 seconds, the Linkbot will beep and show a blue light. Your Linkbot is now on!
- Take a Micro-USB cable and connect the Linkbot to your computer.
- Open your text editor and try the following code:https://en.wikibooks.org/wiki/Learning_Python_3_with_the_Barobo_Linkbot
import barobo
myDongle = barobo.Dongle()
myDongle.connect()
myLinkbot = myDongle.getLinkbot()
myLinkbot.setLEDColor(0, 255, 0)
Note: Don't worry too much if you don't understand what's going on in the first four lines of this program. All of those concepts will be covered in later chapters. For now, just know that if you want to control a Barobo Linkbot, those four lines (or similar lines) are necessary. |
When you run this program, you should notice that your Linkbot turned green! In the code that you wrote, there were three numbers: 0, 255, and 0. These three numbers determine the brightness of the red, green, and blue LEDs inside the linkbot, where 0 denotes the lowest brightness setting and 255 the maximum setting. If you want to try making your Linkbot a brilliant purple color, try setting the color numbers to "255, 0, 255". This tells the Linkbot to turn on its red and blue LED's to their maximum brightness. When the red light blends with the blue light, it appears purple!
Terminology
[edit | edit source]Now is probably a good time to give you a bit of an explanation of what is happening - and a little bit of programming terminology.
What we were doing above was using a function called print
. The function's name - print
- is followed by parentheses containing zero or more arguments. So in this example
print("Hello, World!")
there is one argument, which is "Hello, World!"
. Note that this argument is a group of characters enclosed in double quotes (""). This is commonly referred to as a string of characters, or string, for short. Another example of a string is "Jack and Jill went up a hill"
. The combination of a function and parentheses with the arguments is a function call.
A function and its arguments are one type of statement that python has, so
print("Hello, World!")
is an example of a statement. Basically, you can think of a statement as a single line in a program.
That's probably more than enough terminology for now.
Expressions
[edit | edit source]Here is another program:
print("2 + 2 is", 2 + 2)
print("3 * 4 is", 3 * 4)
print("100 - 1 is", 100 - 1)
print("(33 + 2) / 5 + 11.5 is", (33 + 2) / 5 + 11.5)
And here is the output when the program is run:
2 + 2 is 4 3 * 4 is 12 100 - 1 is 99 (33 + 2) / 5 + 11.5 is 18.5
As you can see, Python can turn your thousand-dollar computer into a five-dollar calculator.
In this example, the print function is followed by two arguments, with each of the arguments separated by a comma. So with the first line of the program
print("2 + 2 is", 2 + 2)
The first argument is the string "2 + 2 is"
and the second argument is the mathematical expression 2 + 2
, which is commonly referred to as an expression.
What is important to note is that a string is printed as is (without the enclosing double quotes), but an expression is evaluated, or converted to its actual value.
Python has seven basic operations for numbers:
Operation | Symbol | Example |
---|---|---|
Power (exponentiation) | **
|
5 ** 2 == 25
|
Multiplication | *
|
2 * 3 == 6
|
Division | /
|
14 / 3 == 4.666666666666667
|
Integer Division | //
|
14 // 3 == 4
|
Remainder (modulo) | %
|
14 % 3 == 2
|
Addition | +
|
1 + 2 == 3
|
Subtraction | -
|
4 - 3 == 1
|
Notice that there are two ways to do division, one that returns the repeating decimal, and the other that can get the remainder and the whole number. The order of operations is the same as in math:
- parentheses
()
- exponents
**
- multiplication
*
, division/
, integer division//
, and remainder%
- addition
+
and subtraction-
So use parentheses to structure your formulas when needed.
Talking to humans (and other intelligent beings)
[edit | edit source]Often in programming you are doing something complicated and may not in the future remember what you did. When this happens the program should probably be commented. A comment is a note to you and other programmers explaining what is happening. For example:
# Not quite PI, but a credible simulation
print(22 / 7)
Which outputs
3.14285714286
Notice that the comment starts with a hash: #
. Comments are used to communicate with others who read the program and your future self to make clear what is complicated.
Note that any text can follow a comment, and that when the program is run, the text after the #
through to the end of that line is ignored. The #
does not have to be at the beginning of a new line:
# Output PI on the screen
print(22 / 7) # Well, just a good approximation
Examples
[edit | edit source]Each chapter (eventually) will contain examples of the programming features introduced in the chapter. You should at least look over them and see if you understand them. If you don't, you may want to type them in and see what happens. Mess around with them, change them and see what happens.
Denmark.py
print("Something's rotten in the state of Denmark.")
print(" -- Shakespeare")
Output:
Something's rotten in the state of Denmark. -- Shakespeare
School.py
# This is not quite true outside of USA
# and is based on my dim memories of my younger years
print("Firstish Grade")
print("1 + 1 =", 1 + 1)
print("2 + 4 =", 2 + 4)
print("5 - 2 =", 5 - 2)
print()
print("Thirdish Grade")
print("243 - 23 =", 243 - 23)
print("12 * 4 =", 12 * 4)
print("12 / 3 =", 12 / 3)
print("13 / 3 =", 13 // 3, "R", 13 % 3)
print()
print("Junior High")
print("123.56 - 62.12 =", 123.56 - 62.12)
print("(4 + 3) * 2 =", (4 + 3) * 2)
print("4 + 3 * 2 =", 4 + 3 * 2)
print("3 ** 2 =", 3 ** 2)
Output:
Firstish Grade 1 + 1 = 2 2 + 4 = 6 5 - 2 = 3 Thirdish Grade 243 - 23 = 220 12 * 4 = 48 12 / 3 = 4 13 / 3 = 4 R 1 Junior High 123.56 - 62.12 = 61.44 (4 + 3) * 2 = 14 4 + 3 * 2 = 10 3 ** 2 = 9
Exercises
[edit | edit source]- Write a program that prints your full name and your birthday as separate strings.
- Write a program that shows the use of all 7 math functions.
1. Write a program that prints your full name and your birthday as separate strings.
print("Ada Lovelace", "born on", "November 27, 1852")
print("Albert Einstein", "born on", "14 March 1879")
print(("John Smith"), ("born on"), ("14 March 1879"))
2. Write a program that shows the use of all 7 math functions.
print("5**5 = ", 5**5)
print("6*7 = ", 6*7)
print("56/8 = ", 56/8)
print("14//6 = ", 14//6)
print("14%6 = ", 14%6)
print("5+6 = ", 5+6)
print("9-0 = ", 9-0)
Footnotes
[edit | edit source]- ↑ Here is a great list of the famous "Hello, world!" program in many programming languages. Just so that you know how simple Python can be...
Who Goes There?
Lesson Information **To Be Added** Vocabulary: Necessary Materials and Resources: Computer Science Teachers Association Standards: 5.3.A.CD.4: Compare various forms of input and output. Common Core Math Content Standards: Common Core Math Practice Standards: Common Core English Language Arts Standards:
Input and Variables
[edit | edit source]You are now ready to create a more complicated program. Type the following into your Python Editor:
print("Halt!")
user_input = input("Who goes there?")
print("You may pass,", user_input)
Run your program to ensure that it displays the following:
Halt! Who goes there? Linkbot You may pass, Linkbot
Note: After running the code by pressing F5 on your keyboard, the Python Shell will only give the output:
Halt! Who goes there?
Enter your name in the Python Shell and press enter for the remainder of the output.
Your program will look different because of the input()
statement. Notice that, when running the program, you must type your name and press 'Enter'. The program responds by displaying text that includes your name. This is an example of input. The program reaches a certain point, and then waits for the user to type more data for the program to include.
The user's data that the program includes is stored as a variable. In the previous program user_input
is a variable. A variable is like a box that can store a piece of data. This program demonstrates the use of variables:
(Helpful blurb, Aaron, "This may not make a lot of sense right now, but refer back to it as you read the paragraph about variables.")
a = 123.4
b23 = 'Barobo'
first_name = "Linkbot"
b = 432
c = a + b
print("a + b is",c)
print("first_name is",first_name)
print("The Linkbot was created by ",b23)
And here is the output:
a + b is 555.4 first_name is Linkbot The Linkbot was created by Barobo
Variables store data, such as a number, a word, a phrase, or anything you choose to make it. The variables in the above program are a
, b23
, first_name
, b
, and c
. The two basic types of variables are numbers and strings. Numbers are simply a mathematical, numerical number, such as 7 or 89 or -3.14. In the above example, a
, b
, and even c
are number variables. c
is considered a number variable because the result is a number. Strings are a sequence of letters, numbers and other characters. In this example b23
and first_name
are variables that store strings. Barobo
, Linkbot
, a + b is
, first_name is
, and The Linkbot was created by
are the strings in this program. The characters are surrounded by "
or '
. The other types of symbols used in the program are variables representing numbers. Remember that variables are used to store a value, they do not use punctuation marks ("
and '
). If you want to use an actual value, you must use those punctuation marks. See the next example.
value1 == Pim
value2 == "Pim"
Both lines of code look the same at first glance, but they are different. In the first one, Python checks if the value stored in the variable value1
is the same as the value stored in the variable Pim
. In the second one, Python checks if the string (the actual letters P
,i
, and m
) are the same as in value2
(More explanation about strings and about the ==
come later).
Assignment
[edit | edit source]In review, there are boxes called variables, and data goes into those boxes. Recall the previous examples. The computer sees a line such as first_name = "Linkbot"
, and it reads it as "put the string Linkbot
into the box, or variable, first_name
". Then the computer sees the statement c = a + b
, and it reads it as "put the sum of a + b
or 123.4 + 432
which equals 555.4
into c
". The right hand side of the statement a + b
is evaluated, meaning that the two terms are equal, and the result is stored in the variable on the left hand side c
. In other words, one side of the statement is assigned to the other side. This process is called assignment.
One single equal sign in coding makes the line of code a grammatical statement. For example, apple = banana
reads "apple is banana." By writing the code in this way, apple is assigned to banana, and they are now considered equal by the program.You are basically telling the program that the two terms are equal, even if that is not in actuality the case.
Two equal signs together makes the line of code into a question that the computer will answer. For example, apple == banana
reads "is apple equal to banana?" This answer would be "no," of course, unless you have previously and incorrectly assigned apple to banana.
(Helpful blurb, Aaron, "Be careful how many =
you use because it can change your program entirely!")
Here is another example of variable usage:
a = 1
print(a)
a = a + 1
print(a)
a = a * 2
print(a)
Here is the output:
1 2 4
Even if the same variable appears on both sides of the equals sign (e.g., spam = spam), the computer still reads it as, "First find out the data to store, and then find out where the data goes."
Try another program:
number = float(input("Type in a number: "))
integer = int(input("Type in an integer: "))
text = input("Type in a string: ")
print("number =", number)
print("number is a", type(number))
print("number * 2 =", number * 2)
print("integer =", integer)
print("integer is a", type(integer))
print("integer * 2 =", integer * 2)
print("text =", text)
print("text is a", type(text))
print("text * 2 =", text * 2)
The output should be:
Type in a number: 12.34 Type in an integer: -3 Type in a string: Hello number = 12.34 number is a <class 'float'> number * 2 = 24.68 integer = -3 integer is a <class 'int'> integer * 2 = -6 text = Hello text is a <class 'str'> text * 2 = HelloHello
Notice that number
was created with float(input())
while text
was created with input()
.
input()
returns a string while the function float
returns a number from a string. int
returns an integer, that is a number with no decimal point. When you want the user to type in a decimal use float(input())
, if you want the user to type in an integer use int(input())
, but if you want the user to type in a string use input()
.
The second half of the program uses the type()
function which identifies a variable's type. Numbers are of type int
or float
, which are
short for integer and floating point (mostly used for decimal numbers), respectively. Text strings are of type str
, short for string. Integers and floats can be worked on by mathematical functions, strings cannot. Notice how when python
multiplies a number by an integer the expected thing happens. However
when a string is multiplied by an integer the result is that multiple
copies of the string are produced (i.e., text * 2 = HelloHello
).
Operations with strings do different things than operations with numbers. As well, some operations only work with numbers (both integers and floating point numbers) and will give an error if a string is used. Here are some interactive mode examples to show that some more.
>>> print("This" + " " + "is" + " joined.") This is joined. >>> print("Ha, " * 5) Ha, Ha, Ha, Ha, Ha, >>> print("Ha, " * 5 + "ha!") Ha, Ha, Ha, Ha, Ha, ha! >>> print(3 - 1) 2 >>> print("3" - "1") Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: unsupported operand type(s) for -: 'str' and 'str' >>>
Here is the list of some string operations:
Operation | Symbol | Example |
---|---|---|
Repetition | *
|
"i" * 5 == "iiiii"
|
Concatenation | +
|
"Hello, " + "World!" == "Hello, World!"
|
Moving a Linkbot's Motor
[edit | edit source]Each Linkbot has two joints that it can move to do a variety of tasks. Sometimes, there might be wheels attached to the joints so that the Linkbot can drive around like a two-wheeled car. Or, the joints might be attached to a gripper, which would allow a Linkbot to pick up objects.
Each joint on a Linkbot has a number printed into the plastic. Looking at the Linkbot directly from a "top down" view, joint 1 is on the left side, joint 2 faces you, and joint 3 is on the right hand side. The Linkbot-L only has joints 1 and 2 and the Linkbot-I only has joints 1 and 3. Lets learn how to move a joint on a Linkbot!
moveMotor.py
# This program moves Joint 1 on a Linkbot by an amount
# specified by the user
import barobo
myDongle = barobo.Dongle()
myDongle.connect()
robotID = input('Enter Linkbot ID: ')
myLinkbot = myDongle.getLinkbot(robotID)
degrees = float(input("Degrees to rotate Joint 1: "))
myLinkbot.moveJoint(1, degrees)
When you run this example, you should notice joint 1 move. If you typed "90" for the input, you should see the joint rotate counter-clockwise 90 degrees. If you typed "-90", you should see the joint move 90 degrees in the clockwise direction. When you run this program, be careful about entering very large numbers or else you might have to wait a while for the joint to stop moving.
Examples
[edit | edit source]Rate_times.py
# This program calculates rate and distance problems
print("Input a rate and a distance")
rate= float(input("rate: "))
distance = float(input("Distance: "))
print("Time:", (distance / rate))
Sample runs:
Input a rate and a distance Rate: 5 Distance: 10 Time: 2.0
Input a rate and a distance Rate: 3.52 Distance: 45.6 Time: 12.9545454545
Area.py
# This program calculates the perimeter and area of a rectangle
print("Calculate information about a rectangle")
length = float(input("Length: "))
width = float(input("Width: "))
print("Area:", length * width)
print("Perimeter:", 2 * length + 2 * width)
Sample runs:
Calculate information about a rectangle Length: 4 Width: 3 Area: 12.0 Perimeter: 14.0
Calculate information about a rectangle Length: 2.53 Width: 5.2 Area: 13.156 Perimeter: 15.46
Temperature.py
# This program converts Fahrenheit to Celsius
fahr_temp = float(input("Fahrenheit temperature: "))
print("Celsius temperature:", (fahr_temp - 32.0) * 5.0 / 9.0)
Sample runs:
Fahrenheit temperature: 32 Celsius temperature: 0.0
Fahrenheit temperature: -40 Celsius temperature: -40.0
Fahrenheit temperature: 212 Celsius temperature: 100.0
Fahrenheit temperature: 98.6 Celsius temperature: 37.0
Exercises
[edit | edit source]Write a program that gets 2 string variables and 2 number variables from the user, concatenates (joins them together with no spaces) and displays the strings, then multiplies the two numbers on a new line.
Write a program that gets 2 string variables and 2 number variables from the user, concatenates (joins them together with no spaces) and displays the strings, then multiplies the two numbers on a new line.
string1 = input('String 1: ')
string2 = input('String 2: ')
float1 = float(input('Number 1: '))
float2 = float(input('Number 2: '))
print(string1 + string2)
print(float1 * float2)
Write a program that gets 2 number variables from the user; each one an angle in degrees. After the program gets the two numbers, it makes the Linkbot rotate joint 1 by the amount in the first number, and then joint 3 (or 2, if you have a Linkbot-L) by the second number.
# This program moves Joints 1 and 3 on a Linkbot by an amount
# specified by the user
import barobo
myDongle = barobo.Dongle()
myDongle.connect()
robotID = input('Enter Linkbot ID: ')
myLinkbot = myDongle.getLinkbot(robotID)
degrees1 = float(input("Degrees to rotate Joint 1: "))
degrees3 = float(input("Degrees to rotate Joint 3: "))
myLinkbot.moveJoint(1, degrees1)
myLinkbot.moveJoint(3, degrees3)
Count to 10
Lesson Information
**To Be Added** Vocabulary: Necessary Materials and Resources: Computer Science Teachers Association Standards: 5.2.CPP.5: Implement problem solutions using a programming language, including: looping behavior, conditional statements, logic, expressions, variables, and functions. Common Core Math Content Standards: Common Core Math Practice Standards: Common Core English Language Arts Standards:
While loops
[edit | edit source]Ordinarily the computer starts with the first line and then goes down from there. Control structures change the order that statements are executed or decide if a certain statement will be run. Here's the source for a program that uses the while control structure:
a = 0 # FIRST, set the initial value of the variable a to 0(zero).
while a < 10: # While the value of the variable a is less than 10 do the following:
a = a + 1 # Increase the value of the variable a by 1, as in: a = a + 1!
print(a) # Print to screen what the present value of the variable a is.
# REPEAT! until the value of the variable a is equal to 9!? See note.
# NOTE:
# The value of the variable a will increase by 1
# with each repeat, or loop of the 'while statement BLOCK'.
# e.g. a = 1 then a = 2 then a = 3 etc. until a = 9 then...
# the code will finish adding 1 to a (now a = 10), printing the
# result, and then exiting the 'while statement BLOCK'.
# --
# While a < 10: |
# a = a + 1 |<--[ The while statement BLOCK ]
# print (a) |
# --
And here is the extremely exciting output:
1 2 3 4 5 6 7 8 9 10
(And you thought it couldn't get any worse after turning your computer into a five-dollar calculator?)
So what does the program do? First it sees the line a = 0
and sets a
to zero. Then it sees while a < 10:
and so the computer checks to see if a < 10
. The first time the computer sees this statement, a
is zero, so it is less than 10. In other words, as long as a
is less than ten, the computer will run the tabbed in statements. This eventually makes a
equal to ten (by adding one to a
again and again) and the while a < 10
is not true any longer. Reaching that point, the program will stop running the indented lines.
Always remember to put a colon ":" at the end of the while
statement line!
Here is another example of the use of while
:
a = 1
s = 0
print('Enter Numbers to add to the sum.')
print('Enter 0 to quit.')
while a != 0:
print('Current Sum:', s)
a = float(input('Number? '))
s = s + a
print('Total Sum =', s)
Enter Numbers to add to the sum. Enter 0 to quit. Current Sum: 0 Number? 200 Current Sum: 200.0 Number? -15.25 Current Sum: 184.75 Number? -151.85 Current Sum: 32.9 Number? 10.00 Current Sum: 42.9 Number? 0 Total Sum = 42.9
Notice how print 'Total Sum =', s
is only run at the end. The while
statement only affects the lines that are indented with whitespace. The !=
means does not equal so while a != 0:
means as long as a
is not zero run the tabbed statements that follow.
Note that a
is a floating point number, and not all floating point numbers can be accurately represented, so using !=
on them can sometimes not work. Try typing in 1.1 in interactive mode.
Infinite loops or Never Ending Loop
[edit | edit source]Now that we have while loops, it is possible to have programs that run forever. An easy way to do this is to write a program like this:
while 1 == 1:
print("Help, I'm stuck in a loop.")
The "==" operator is used to test equality of the expressions on the two sides of the operator, just as "<" was used for "less than" before (you will get a complete list of all comparison operators in the next chapter).
This program will output Help, I'm stuck in a loop.
until the heat death of the universe or you stop it, because 1 will forever be equal to 1. The way to stop it is to hit the Control (or Ctrl) button and C (the letter) at the same time. This will kill the program. (Note: sometimes you will have to hit enter after the Control-C.) On some systems, nothing will stop it, short of killing the process--so avoid!
Examples
[edit | edit source]Fibonacci sequence
[edit | edit source]Fibonacci-method1.py
# This program calculates the Fibonacci sequence
a = 0
b = 1
count = 0
max_count = 20
while count < max_count:
count = count + 1
print(a, end=" ") # Notice the magic end=" " in the print function arguments
# that keeps it from creating a new line.
old_a = a # we need to keep track of a since we change it.
a = b
b = old_a + b
print() # gets a new (empty) line.
Output:
0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 1597 2584 4181
Note that the output is on a single line because of the extra argument end=" "
in the print
arguments.
Fibonacci-method2.py
# Simplified and faster method to calculate the Fibonacci sequence
a = 0
b = 1
count = 0
max_count = 10
while count < max_count:
count = count + 1
print(a, b, end=" ") # Notice the magic end=" "
a = a + b
b = a + b
print() # gets a new (empty) line.
Output:
0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 1597 2584 4181
Enter password
[edit | edit source]Password.py
# Waits until a password has been entered. Use Control-C to break out without
# the password
#Note that this must not be the password so that the
# while loop runs at least once.
password = str()
# note that != means not equal
while password != "unicorn":
password = input("Password: ")
print("Welcome in")
Sample run:
Password: auo Password: y22 Password: password Password: open sesame Password: unicorn Welcome in
A Linkbot Musical Example
[edit | edit source]The Linkbot has a small buzzer on board that can play one note at a time. We can control the frequency of the buzzer on the Linkbot to generate different tones. The equation shows how to calculate the frequency of a key on a piano. There are 88 keys on a real piano, but lets see if we can make our robot play from the 34th key all the way up to the 73rd key.
In Python, to calculate the "power" of a number, we can use the **
operator. For instance, can be calculated in Python using 2**3
.
import barobo
dongle = barobo.Dongle()
dongle.connect()
robotID = input('Enter Linkbot ID: ')
robot = dongle.getLinkbot(robotID)
import time # imports the Python "time" module because we want to use "time.sleep()" later.
key=34 # Set key=34 which is the 34th key on a piano keyboard.
while key < 74: # While the key number is less than 74.
robot.setBuzzerFrequency(2**((key-49)/12.0)*440) # Play the frequency to the corresponding note.
time.sleep(.25) # Play the note for 0.25 seconds.
robot.setBuzzerFrequency(0) # Turn off the note
key=key+1 # Increase the key number by 1. This is the end of the loop. At this point,
# Python will check to see if the condition in the "while" statement,
# "key < 74", is true. If it is still true, Python will go back to the
# beginning of the loop. If not, the program exits the loop.
Exercises
[edit | edit source]Write a program that asks the user for a Login Name and password. Then when they type "lock", they need to type in their name and password to unlock the program.
Write a program that asks the user for a Login Name and password. Then when they type "lock", they need to type in their name and password to unlock the program.
name = input("What is your UserName: ")
password = input("What is your Password: ")
print("To lock your computer type lock.")
command = None
input1 = None
input2 = None
while command != "lock":
command = input("What is your command: ")
while input1 != name:
input1 = input("What is your username: ")
while input2 != password:
input2 = input("What is your password: ")
print("Welcome back to your system!")
If you would like the program to run continuously, just add a while 1 == 1:
loop around the whole thing.
You will have to indent the rest of the program when you add this at the top of the code, but don't worry, you don't have to do it manually for each line! Just highlight everything you want to indent and click on "Indent" under "Format" in the top bar of the python window.
Another way of doing this could be:
name = input('Set name: ')
password = input('Set password: ')
while 1 == 1:
nameguess=""
passwordguess=""
key=""
while (nameguess != name) or (passwordguess != password):
nameguess = input('Name? ')
passwordguess = input('Password? ')
print("Welcome,", name, ". Type lock to lock.")
while key != "lock":
key = input("")
Notice the or
in while (nameguess != name) or (passwordguess != password)
, which we haven't yet introduced. You can probably figure out how it works.
Modify the Linkbot Buzzer program to play every third key on the piano from the 34th key up to the 74th key.
import barobo
dongle = barobo.Dongle()
dongle.connect()
robotID = input('Enter Linkbot ID: ')
robot = dongle.getLinkbot(robotID)
import time # imports the Python "time" module because we want to use "time.sleep()" later.
key=34 # Set key=34 which is the 34th key on a piano keyboard.
while key < 74: # While the key number is less than 74.
robot.setBuzzerFrequency(2**((key-49)/12.0)*440) # Play the frequency to the corresponding note.
time.sleep(.25) # Play the note for 0.25 seconds.
robot.setBuzzerFrequency(0) # Turn off the note
key=key+3 # Increase the key number by 3. This is the end of the loop. At this point,
# Python will check to see if the condition in the "while" statement,
# "key < 74", is true. If it is still true, Python will go back to the
# beginning of the loop. If not, the program exits the loop.
Decisions
If statement
[edit | edit source]As always I believe I should start each chapter with a warm-up typing exercise, so here is a short program to compute the absolute value of an integer:
n = int(input("Number? "))
if n < 0:
print("The absolute value of", n, "is", -n)
else:
print("The absolute value of", n, "is", n)
Here is the output from the two times that I ran this program:
Number? -34 The absolute value of -34 is 34
Number? 1 The absolute value of 1 is 1
So what does the computer do when it sees this piece of code? First it prompts the user for a number with the statement "n = int(input("Number? "))
". Next it reads the line "if n < 0:
". If n
is less than zero Python runs the line "print("The absolute value of", n, "is", -n)
". Otherwise it runs the line "print("The absolute value of", n, "is", n)
".
More formally Python looks at whether the expression n < 0
is true or false. An if
statement is followed by an indented block of statements that are run when the expression is true. Optionally after the if
statement is an else
statement and another indented block of statements. This second block of statements is run if the expression is false.
There are a number of different tests that an expression can have. Here is a table of all of them:
operator | function |
---|---|
<
|
less than |
<=
|
less than or equal to |
>
|
greater than |
>=
|
greater than or equal to |
==
|
equal |
!=
|
not equal |
Another feature of the if
command is the elif
statement. It stands for else if and means if the original if
statement is false but the elif
part is true, then do the elif
part. And if neither the if
or elif
expressions are true, then do what's in the else
block. Here's an example:
a = 0
while a < 10:
a = a + 1
if a > 5:
print(a, ">", 5)
elif a <= 3:
print(a, "<=", 3)
else:
print("Neither test was true")
and the output:
1 <= 3 2 <= 3 3 <= 3 Neither test was true Neither test was true 6 > 5 7 > 5 8 > 5 9 > 5 10 > 5
Notice how the elif a <= 3
is only tested when the if
statement fails to be true. There can be more than one elif
expression, allowing multiple tests to be done in a single if
statement.
Moving a Linkbot's Motors
[edit | edit source]In the previous chapter,
Who Goes There?, we saw that you can move a linkbot's motor with the moveJoint()
function.
It is typically used like:
myLinkbot.moveJoint(1, 180)
where the first argument is the motor you want to move and the second argument is the angle in degrees you want to move it. The above code will move motor "1" in the positive direction by 180 degrees.
What if you want to move more than one motor at a time? The linkbot also has a move()
function that does just that. It looks something like this:
myLinkbot.move(90, 180, 270)
The move()
function expects three numbers inside the parentheses. The first number is the angle to move motor 1, the second number is the angle to move motor 2, and the third number is the angle to move motor 3. If your Linkbot only has two motors, the value
for the face that does not have a motor is ignored. For example, if I have a Linkbot-I and I ran the above sample code, the "180" is ignored because motor 2 is not a movable motor. Instead, the Linkbot will move motor 1 forward 90 degrees and motor 3 forward 270 degrees.
When the move()
function is executed, the Linkbot will move any/all of its motors simultaneously.
command_linkbot.py
[edit | edit source]In this example, we'd like to create a program that we can use to move our Linkbot around.
This demo will use the python break
command.
In the previous chapter, we saw that Python can get stuck in "infinite loops".
The break
command can be used to exit loops even if the loop condition is still true.
Lets start with just moving the Linkbot forward and backward first. To run this demo, you'll need a Linkbot-I and two wheels. A caster is also recommended but optional.
import barobo
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('abcd') # Replace abcd with your Linkbot's serial ID
while True: # This is an infinite loop. Get out by using the "break" statement
command = input('Please enter a robot command or "quit" to exit the program: ')
if command == 'forward':
# Rotate the wheels 180 degrees to move the robot forward
myLinkbot.move(180, 0, -180) # Motor 3 has to spin in the negative direction to move the robot forward
elif command == 'backward':
myLinkbot.move(-180, 0, 180)
elif command == 'quit':
break
else:
print('I\'m sorry. I don\'t understand that command.')
print('Goodbye!')
A Note on Strings
You might have noticed that towards the end of the program, there is a line that reads print('I\'m sorry. I don\'t understand that command.')
with funny backslashes in the code. When you run the program though, it doesn't print those backslashes. These backslashes actually serve an important purpose.
When Python encounters either a single quote ' or double quote " , it knows that what follows will be a string that is terminated by the same type of quotation mark that started it. But, what if we want to include some quotation marks as part of the string? Consider the following piece of code:
mystring = "Hello there. My dog says "woof!" when he's bored."
When Python sees the first Quotation mark at "Hello th...
, it says "Ok, this is going to be a string and as soon as I see another quotation mark, that will be the end of the string". Soon, Python sees another quotation mark at ...says "woof!
and thinks "I've found the end of the string!", but this is not the end of our string! We wanted Python to go all the way to the end at ...bored."
. How do we tell Python that the quotation marks around "woof!"
are special, and that our string doesn't actually end there?
The answer is backslashes. If there is a backslash preceding a quotation mark, that is a special indicator to Python to include that quotation mark as part of the string, rather than terminating the string. Therefore, the fixed code should be:
mystring = "Hello there. My dog says \"woof!\" when he's bored."
In this example, the single quote in he's
is automatically included as part of the string because the string started with a double-quotation mark, and thus Python is looking for a double-quotation mark to terminate the string.
Sample runs:
Please enter a robot command or 'quit' to exit the program: forward Please enter a robot command or 'quit' to exit the program: backward Please enter a robot command or 'quit' to exit the program: aoeu I'm sorry. I don't understand that command. Please enter a robot command or 'quit' to exit the program: quit Goodbye!
Examples
[edit | edit source]equality.py
# This Program Demonstrates the use of the == operator
# using numbers
print(5 == 6)
# Using variables
x = 5
y = 8
print(x == y)
And the output
False False
high_low.py
# Plays the guessing game higher or lower
# This should actually be something that is semi random like the
# last digits of the time or something else, but that will have to
# wait till a later chapter. (Extra Credit, modify it to be random
# after the Modules chapter)
number = 7
guess = -1
print("Guess the number!")
while guess != number:
guess = int(input("Is it... "))
if guess == number:
print("Hooray! You guessed it right!")
elif guess < number:
print("It's bigger...")
elif guess > number:
print("It's not so big.")
Sample run:
Guess the number! Is it... 2 It's bigger... Is it... 5 It's bigger... Is it... 10 It's not so big. Is it... 7 Hooray! You guessed it right!
even.py
# Asks for a number.
# Prints if it is even or odd
number = float(input("Tell me a number: "))
if number % 2 == 0:
print(int(number), "is even.")
elif number % 2 == 1:
print(int(number), "is odd.")
else:
print(number, "is very strange.")
Sample runs:
Tell me a number: 3 3 is odd.
Tell me a number: 2 2 is even.
Tell me a number: 3.4895 3.4895 is very strange.
average1.py
# keeps asking for numbers until 0 is entered.
# Prints the average value.
count = 0
sum = 0.0
number = 1 # set to something that will not exit the while loop immediately.
print("Enter 0 to exit the loop")
while number != 0:
number = float(input("Enter a number: "))
if number != 0:
count = count + 1
sum = sum + number
if number == 0:
print("The average was:", sum / count)
Sample runs:
Enter 0 to exit the loop Enter a number: 3 Enter a number: 5 Enter a number: 0 The average was: 4.0
Enter 0 to exit the loop Enter a number: 1 Enter a number: 4 Enter a number: 3 Enter a number: 0 The average was: 2.66666666667
average2.py
# keeps asking for numbers until count numbers have been entered.
# Prints the average value.
#Notice that we use an integer to keep track of how many numbers,
# but floating point numbers for the input of each number
sum = 0.0
print("This program will take several numbers then average them")
count = int(input("How many numbers would you like to average: "))
current_count = 0
while current_count < count:
current_count = current_count + 1
print("Number", current_count)
number = float(input("Enter a number: "))
sum = sum + number
print("The average was:", sum / count)
Sample runs:
This program will take several numbers then average them How many numbers would you like to average: 2 Number 1 Enter a number: 3 Number 2 Enter a number: 5 The average was: 4.0
This program will take several numbers then average them How many numbers would you like to average: 3 Number 1 Enter a number: 1 Number 2 Enter a number: 4 Number 3 Enter a number: 3 The average was: 2.66666666667
Exercises
[edit | edit source]Write a program that asks the user their name, if they enter your name say "That is a nice name", if they enter "John Cleese" or "Michael Palin", tell them how you feel about them ;), otherwise tell them "You have a nice name."
name = input('Your name: ')
if name == 'Ada':
print('That is a nice name.')
elif name == 'John Cleese':
print('... some funny text.')
elif name == 'Michael Palin':
print('... some funny text.')
else:
print('You have a nice name.')
Modify the higher or lower program from this section to keep track of how many times the user has entered the wrong number. If it is more than 3 times, print "That must have been complicated." at the end, otherwise print "Good job!"
number = 7
guess = -1
count = 0
print("Guess the number!")
while guess != number:
guess = int(input("Is it... "))
count = count + 1
if guess == number:
print("Hooray! You guessed it right!")
elif guess < number:
print("It's bigger...")
elif guess > number:
print("It's not so big.")
if count > 3:
print("That must have been complicated.")
else:
print("Good job!")
Write a program that asks for two numbers. If the sum of the numbers
is greater than 100, print "That is a big number."
number1 = float(input('1st number: '))
number2 = float(input('2nd number: '))
if number1 + number2 > 100:
print('That is a big number.')
Modify the Linkbot program presented earlier to include the commands "turnright", "turnleft", and "beep". Make the "turnright" command turn the robot to the right, "turnleft" turn the robot to the left, and "beep" beep the robot buzzer for 1 second.
import barobo
import time # So we can use time.sleep() later
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('abcd') # Replace abcd with your Linkbot's serial ID
while True: # This is an infinite loop. Get out by using the "break" statement
command = input('Please enter a robot command or "quit" to exit the program: ')
if command == 'forward':
# Rotate the wheels 180 degrees to move the robot forward
myLinkbot.move(180, 0, -180) # Motor 3 has to spin in the negative direction to move the robot forward
elif command == 'backward':
myLinkbot.move(-180, 0, 180)
elif command == 'turnright':
myLinkbot.move(180, 0, 180)
elif command == 'turnleft':
myLinkbot.move(-180, 0, -180)
elif command == 'beep':
myLinkbot.setBuzzerFrequency(440)
time.sleep(1)
myLinkbot.setBuzzerFrequency(0)
elif command == 'quit':
break
else:
print('I\'m sorry. I don\'t understand that command.')
print('Goodbye!')
Linkbot Multitasking
"Non-blocking" Linkbot Functions
[edit | edit source]Lets take an inventory of all of the functions that we've used so far to control various aspects of the Linkbot.
Function Name | Function Description |
---|---|
setLEDColor(r, g, b) |
Changes the LED color based on red, green, and blue intensities. |
setBuzzerFrequency(Hz) |
Makes the Linkbot buzzer play a frequency in Hertz. |
moveJoint(jointNum, degrees) |
Makes a single motor move. |
move(degrees, degrees, degrees) |
Makes multiple motors move simultaneously |
Using these functions, we can move our robot around, change the robot's LED color, and make the robot beep or play simple melodies. However, using only these functions, it is not possible to make a robot play a tune and change its LED colors while the robot is moving. For example, lets say we want to make our robot beep 2 times _while_ our robot is moving. We can try something like this:
Note! The examples in this section are presented without the necessary initializing code shown in previous chapters. To run these examples, you will need to include the following lines of code at the top of your program: import barobo
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('ABCD') # Replace 'ABCD' with your Linkbot's ID
|
myLinkbot.setBuzzerFrequency(440) # 1
time.sleep(0.25) # 2
myLinkbot.setBuzzerFrequency(0) # 3
time.sleep(0.25) # 4
myLinkbot.setBuzzerFrequency(440)
time.sleep(0.25)
myLinkbot.setBuzzerFrequency(0)
time.sleep(0.25)
myLinkbot.move(180, 0, -180) # 5
Lets reason our way through each major point of this program.
- First, we turn on the buzzer on the Linkbot. It starts buzzing
- Pause the program for 0.25 seconds
- Turn off the Linkbot's buzzer.
- Pause the program for another 0.25 seconds. The end result of steps 1-4 is that the Linkbot buzzes its buzzer for 0.25 seconds. The next four lines do the same exact thing.
- At this point, the Linkbot has buzzed twice, and now the
move()
function makes the Linkbot roll forward.
This is almost what we want to do, except we want the robot to beep twice while the robot is moving; not before it starts moving. Lets try again:
myLinkbot.move(180, 0, -180) # 1
myLinkbot.setBuzzerFrequency(440) # 2
time.sleep(0.25)
myLinkbot.setBuzzerFrequency(0)
time.sleep(0.25)
myLinkbot.setBuzzerFrequency(440)
time.sleep(0.25)
myLinkbot.setBuzzerFrequency(0)
time.sleep(0.25)
This program is almost exactly the same as the program before except we relocated the move()
function to the beginning of the program. Will this program make the robot beep twice as the robot is moving?
- First, we call the
move()
function which moves the robot's motors. The robot begins moving. However, the program stays at item 1 until themove()
function is completed. After the robot finishes moving, the program continues. - Here, the robot turns the buzzer on similar to the previous example. Using
setBuzzerFrequency()
andtime.sleep()
, it makes the buzzer beep twice.
The moveNB()
Function
[edit | edit source]As we can see, we have failed yet again to make the robot beep twice while moving. In order to make the robot do these things simultaneously, we must use a similar but new type of function: Non-blocking functions. Lets take a look at an example:
myLinkbot.moveNB(180, 0, -180) # 1
myLinkbot.setBuzzerFrequency(440) # 2
time.sleep(0.25)
myLinkbot.setBuzzerFrequency(0)
time.sleep(0.25)
myLinkbot.setBuzzerFrequency(440)
time.sleep(0.25)
myLinkbot.setBuzzerFrequency(0)
time.sleep(0.25)
- Here, instead of using the
move()
function, we use themoveNB()
function.
The "NB" in the function name stands for "non-blocking".
Both functions move the motors on the Linkbot, but there is one important difference: The NB version of the function "returns" immediately. What this means is Python continues on to the next line of code immediately without waiting for the movement to finish first. In other words, the moveNB()
function does not "block" Python from continuing on immediately after the function is called.
- Now, the Linkbot begins playing its buzzer while the Linkbot is still moving. We've accomplished our task! This program will move the robot and beep twice while the robot is moving.
The moveWait()
Function
[edit | edit source]Now lets try one more example. Lets say we want to make the robot move its wheels 180 degrees to roll forward while beeping twice, and then change the LED color to green after the movement is done. To accomplish this, we introduce the moveWait()
function. Lets take a look and see how it works:
myLinkbot.moveNB(180, 0, -180) # 1
myLinkbot.setBuzzerFrequency(440) # 2
time.sleep(0.25)
myLinkbot.setBuzzerFrequency(0)
time.sleep(0.25)
myLinkbot.setBuzzerFrequency(440)
time.sleep(0.25)
myLinkbot.setBuzzerFrequency(0)
time.sleep(0.25)
myLinkbot.moveWait() # 3
myLinkbot.setLEDColor(0, 255, 0) # 4
- As before, this line tells the robot to begin moving motors 1 and 3. Since we used the "NB" version of the function, Python continues directly on to the next line of code even though the robot is still moving.
- The next several lines of code beep the robot twice, similar to before.
- Here, we call a function called
moveWait()
. This function blocks until all motor movements on the robot are finished. In effect, Python will wait at # 3 until the motors are done moving. - Here, we set the LED color to green.
If we had omitted moveWait()
at # 3, the LED color would've been set whether the motors were still moving or not. By using the moveWait()
function, we force Python to wait for the motors to stop moving before setting the LED color.
Other Non-Blocking Functions
[edit | edit source]Almost all Linkbot movement commands have a non-blocking version with the "NB" suffix. The ones that do not have a non-blocking version are the ones that move a Linkbot's motor continuously forever. We haven't explored any of them yet, but they are out there. These functions do not have non-blocking versions because they would block forever.
All of the functions that begin with the prefix "set", such as setBuzzerFrequency()
and setLEDColor()
, can be considered non-blocking because of how fast the buzzer and LED colors are set. For instance, if you run the following snippet of code:
myLinkbot.setBuzzerFrequency(440)
myLinkbot.setLEDColor(0, 255, 0)
The Linkbot would appear to start buzzing and change the LED color to green simultaneously. Technically, the robot is actually doing one before the other, but the two things happen so fast (typically within 5 milliseconds of each other) that it is practically simultaneous.
Debugging
What is debugging?
[edit | edit source]- "As soon as we started programming, we found to our surprise that it wasn't as easy to get programs right as we had thought. Debugging had to be discovered. I can remember the exact instant when I realized that a large part of my life from then on was going to be spent in finding mistakes in my own programs." — Maurice Wilkes discovers debugging, 1949
By now if you have been messing around with the programs you have probably found that sometimes the program does something you didn't want it to do. This is fairly common. Debugging is the process of figuring out what the computer is doing and then getting it to do what you want it to do. This can be tricky. It surprisingly common to spend weeks tracking down and fixing a bug that was caused by someone putting an x
where a y
should have been.
This chapter will be more abstract than previous chapters.
What should the program do?
[edit | edit source]The first thing to do (this sounds obvious) is to figure out what the program should be doing if it is running correctly. Come up with some test cases and see what happens.
For instance, lets try to write a program that rolls a Linkbot-I with two wheels forward one rotation while making the LED green, and then rolls the Linkbot backward with the LED red. Here's a first try at this program:
import barobo
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('ABCD') # Change 'ABCD' to your Linkbot's Serial ID
myLinkbot.moveNB(360, 0, -360) # Roll Forward
myLinkbot.setLEDColor(0, 255, 0) # Set LED to green
myLinkbot.moveNB(-360, 0, 360) # Roll Backward
myLinkbot.setLEDColor(255, 0, 0) # Set the LED color to red
At first glance, the above program may appear to be correct. When you actually try it though, you'll see that the robot never turns its LED green, and it never moves forward. It immediately changes its LED red and moves backward. What happened to the two lines that are supposed to make the robot roll forward and turn the LED green?
One easy and powerful method of debugging problems like this is to use the print()
function to track the progress of the program while it's running. Lets try adding some print statements to our original program and see if we can track down the problem:
import barobo
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('ABCD') # Change 'ABCD' to your Linkbot's Serial ID
print("Moving forward...")
myLinkbot.moveNB(360, 0, -360) # Roll Forward
print("Done. Setting LED to green...")
myLinkbot.setLEDColor(0, 255, 0) # Set LED to green
print("Done. Moving backward...")
myLinkbot.moveNB(-360, 0, 360) # Roll Backward
print("Done. Setting LED to red...")
myLinkbot.setLEDColor(255, 0, 0) # Set the LED color to red
print("Done.")
When you run this program, pay attention not only to what it's printing, but also how and when it's printing. When you run the program, the output you should get is:
Moving forward... Done. Setting LED to green... Done. Moving backward... Done. Setting LED to red... Done.
However, you'll notice that all of those statements print immediately; there is no delay between the commands that tell the robot to move forward and the commands that tell it to move backward. That should immediately give us an indication for what is wrong: the program should wait until the robot is finished moving forward before moving backward and turning red. You'll notice that we used non-blocking movement functions in our program so that we can move and change the LED color at the same time. However, we also know that Python doesn't stop and wait at non-blocking and "set" functions. From the previous chapter, we also have a function that makes Python wait until a non-blocking motion is completed called moveWait()
.
Lets try fixing our broken program:
import barobo
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('ABCD') # Change 'ABCD' to your Linkbot's Serial ID
myLinkbot.moveNB(360, 0, -360) # Roll Forward
myLinkbot.setLEDColor(0, 255, 0) # Set LED to green
myLinkbot.moveWait() # Wait until the robot is finished rolling forward
myLinkbot.moveNB(-360, 0, 360) # Roll Backward
myLinkbot.setLEDColor(255, 0, 0) # Set the LED color to red
A moveWait()
statement has been added in-between the two steps. This forces Python to wait until the robot is done moving forward before telling it to move backward and set the LED color to red.
Without the moveWait()
statement, Python will go through all of those statements so fast that the robot rolling forward and green LED won't be noticeable to human eyes and ears. Only the last commands, rolling backward and the red LED, "stay" on the robot and are observable, making it seem like Python was skipping the moving forward and green LED altogether.
General Tips
[edit | edit source]- This may sound obvious, but the first thing to ensure is that you know what the program is supposed to do.
- Check to make sure the program flow is correct by using
print()
statements. - Check to make sure variable values are correct using
print()
statements. - For complex programs that might use loops and variables, try "stepping" through the program, line by line, keeping track of variable values and program outputs using pen and paper.
- If you have a long program that does many calculations on a variable and the value of the variable is wrong at the end of the program, try using the "binary-search" method to find the bug: Use a
print()
statement to check the value of the variable in the middle of the program. If the value is correct, you know the bug is somewhere in the second half of your program. Put anotherprint()
statement in the middle of the second half of the program and check its value. Repeat until you've found the incorrect line of code that is incorrectly setting the variable's value. This technique is highly useful for finding where a bug might be occurring, and it is useful for many types of bugs.
Advanced Programmers: You can put "breakpoints" and check variable values without adding print() statements in your code using various debuggers, such as pdb: the Python debugger. You can read more about it [here]. |
Defining Functions
Creating Functions
[edit | edit source]To start off this chapter I am going to give you an example of what you could do but shouldn't (so don't type it in):
a = 23
b = -23
if a < 0:
a = -a
if b < 0:
b = -b
if a == b:
print("The absolute values of", a, "and", b, "are equal.")
else:
print("The absolute values of", a, "and", b, "are different.")
with the output being:
The absolute values of 23 and 23 are equal.
The program seems a little repetitive. Programmers hate to repeat things -- that's what computers are for, after all! (Note also that finding the absolute value changed the value of the variable, which is why it is printing out 23, and not -23 in the output.) Fortunately Python allows you to create functions to remove duplication. Here is the rewritten example:
a = 23
b = -23
def absolute_value(n):
if n < 0:
n = -n
return n
if absolute_value(a) == absolute_value(b):
print("The absolute values of", a, "and", b, "are equal.")
else:
print("The absolute values of", a, "and", b, "are different.")
with the output being:
The absolute values of 23 and -23 are equal.
The key feature of this program is the def
statement. def
(short for define) starts a function definition. def
is
followed by the name of the function absolute_value
. Next comes a '(' followed by the parameter n
(n
is passed from the program into the function when the function is called). The statements after the ':' are executed when the function is used. The statements continue until either the indented statements end or a return
is encountered. The return
statement returns a value back to the place where the function was called. We already have encountered a function in our very first program, the print
function. Now we can make new functions.
Notice how the values of a
and b
are not changed.
Functions can be used to repeat tasks that don't return
values. Here are some examples:
def hello():
print("Hello")
def area(width, height):
return width * height
def print_welcome(name):
print("Welcome", name)
hello()
hello()
print_welcome("Fred")
w = 4
h = 5
print("width =", w, " height =", h, " area =", area(w, h))
with output being:
Hello Hello Welcome Fred width = 4 height = 5 area = 20
That example shows some more stuff that you can do with functions. Notice that you can use no arguments or two or more. Notice also when a function doesn't need to send back a value, a return is optional.
Variables in functions
[edit | edit source]When eliminating repeated code, you often have variables in the repeated code. In Python, these are dealt with in a special way. So far all variables we have seen are global variables. Functions have a special type of variable called local variables. These variables only exist while the function is running. When a local variable has the same name as another variable (such as a global variable), the local variable hides the other. Sound confusing? Well, these next examples (which are a bit contrived) should help clear things up.
a = 4
def print_func():
a = 17
print("in print_func a = ", a)
print_func()
print("a = ", a)
When run, we will receive an output of:
in print_func a = 17 a = 4
Variable assignments inside a function do not override global variables, they exist only inside the function. Even though a
was assigned a new value inside the function, this newly assigned value was only relevant to print_func
, when
the function finishes running, and the a
's values is printed again, we see the originally assigned values.
Here is another more complex example.
a_var = 10
b_var = 15
e_var = 25
def a_func(a_var):
print("in a_func a_var = ", a_var)
b_var = 100 + a_var
d_var = 2 * a_var
print("in a_func b_var = ", b_var)
print("in a_func d_var = ", d_var)
print("in a_func e_var = ", e_var)
return b_var + 10
c_var = a_func(b_var)
print("a_var = ", a_var)
print("b_var = ", b_var)
print("c_var = ", c_var)
print("d_var = ", d_var)
in a_func a_var = 15 in a_func b_var = 115 in a_func d_var = 30 in a_func e_var = 25 a_var = 10 b_var = 15 c_var = 125 d_var = Traceback (most recent call last): File "C:\def2.py", line 19, in <module> print("d_var = ", d_var) NameError: name 'd_var' is not defined
In this example the variables a_var
, b_var
, and d_var
are all local variables when they are inside the function a_func
. After the statement return b_var + 10
is run, they all cease to exist. The variable a_var
is automatically a local variable since it is a parameter name. The variables b_var
and d_var
are local variables since they appear on the left of an equals sign in the function in the statements b_var = 100 + a_var
and d_var = 2 * a_var
.
Inside of the function a_var
has no value assigned to it. When the function is called with c_var = a_func(b_var)
, 15 is assigned to a_var
since at that point in time b_var
is 15, making the call to the function a_func(15)
. This ends up setting a_var
to 15 when it is inside of a_func
.
As you can see, once the function finishes running, the local variables
a_var
and b_var
that had hidden the global variables of the same name are gone. Then the statement print("a_var = ", a_var)
prints the value 10
rather than the value 15
since the local variable
that hid the global variable is gone.
Another thing to notice is the NameError
that happens at the end. This appears since the variable d_var
no longer exists since a_func
finished. All the local variables are deleted when the function exits. If you want to get something from a function, then you will have to use return something
.
One last thing to notice is that the value of e_var
remains unchanged inside a_func
since it is not a parameter and it never appears on the left of an equals sign inside of the function a_func
. When a global variable is accessed inside a function it is the global variable from the outside.
Functions allow local variables that exist only inside the function and can hide other variables that are outside the function.
Linkbots in Functions : Making the Linkbot Move a Certain Distance
[edit | edit source]We've seen now that we can pass numbers and variables to a function in the function parameters. It turns out that you can pass just about anything into a function, including Linkbot objects. In the Chapter "Decisions", we wrote some code that could move a two-wheels linkbot around. In the code, we specified the angle to rotate the wheels, but it would be much cooler if we could tell the Linkbot to move some distance on the ground. When you're writing new functions, it's common to prototype how the function might be used before actually writing it, so lets try that now. We want our function to be used something like this:
driveDistance(myLinkbot, 10) # Drive a wheeled Linkbot 10 inches forward
Now that we're satisfied with how we want to use our function, now we have to worry about how to actually write it so that it does what we want it to do.
First, let us catalog what we know and what we have. So far we know about 2 functions that we can use to move motors on the Linkbot: moveJoint()
and move()
. Of the two, we have found that move()
is probably better for driving two-wheeled Linkbots. However, the move()
function takes angles as arguments. That leaves the question: How do we turn a distance into an angle?
It turns out there is an equation that you can use to figure out how many degrees a wheel has to turn to travel a certain distance. The equation is:
If you would like to see a derivation where that equation comes from, click on the "derivation" link below.
To solve this question, we can consider how wheels roll on a surface. Let us consider a wheel rolling on a surface that doesn't slip on the surface because it will make our calculations easier. Let us consider the "circumference" of a wheel. If you took a string and wrapped it all the way around a circle, the length of that string is the "circumference". The circumference of a circle with radius "r" is
The following figure illustrates a blue wheel with a green string wrapped around it. As the wheel rolls, the string unrolls off of the wheel.
As we can see from the figure, if the wheel rolls one full revolution, it travels one circumference of distance. Knowing that one revolution is 360 degrees, we can write a ratio:
So if we want to travel a distance "distance", we can do
Using this equation, if we know the wheel radius and we know what distance we want to travel, we can calculate the degrees to turn the wheel! Now we can write our function.
Note! For you math nerds out there, you might also know that the "arc-length" of a circle is
where is expressed in radians. Solving for gives
Converting to degrees, we get which is exactly the same as our previous result! |
Now, we can include that equation in our function. This allows us to re-use the function for any distance and we don't have to type in the equation over and over again.
import barobo
import math # So that we can use math.pi
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('abcd') # Change abcd to your Linkbot's serial ID
def driveDistance(linkbot, distance):
r = 3.5 / 2 # If you have a wheel that's not 3.5 inches in diameter, change "3.5" to the diameter of your wheel
degrees = (360) / (2 * math.pi * r) * distance
linkbot.move(degrees, 0, -degrees)
driveDistance(myLinkbot, 10) # Drives the Linkbot 10 inches forward
driveDistance(myLinkbot, -5) # Drives the Linkbot 5 inches backward
The program shown above uses the driveDistance()
function to drive a robot forward 10 inches and then backward 5 inches. You might wondering why we went through all the trouble of defining a function, which took four lines of code, when we could accomplish the same task without functions.
- Consider if the task was much more complex than just two movements. If you have to drive the robot forwards and backwards more than 4 times, you are actually saving time and code by using a function.
- Writing repeated code via copy/paste can be very hard to debug. Imagine if you copy and pasted the equation 20 times for 20 robot movements, and then you found a bug in the copy-pasted code. You would have to correct the bug in each one of the 20 pasted code blocks. If you had written a function with a bug in it, you would only have to fix the equation inside the function.
- If you are writing code for someone else to use, it would make sense to encapsulate your code in a function. Imagine if you are working with a team of people and your job is to write a function that moves the robot forward and backward, another person's job is to write a function that turns the robot, and a third person has to write a function that changes the LED color. You could then take all three functions and put them into a single program and have a robot that accurately drives a certain distance, turns, and changes LED color.
Examples
[edit | edit source]temperature2.py
#! /usr/bin/python
#-*-coding: utf-8 -*-
# converts temperature to Fahrenheit or Celsius
def print_options():
print("Options:")
print(" 'p' print options")
print(" 'c' convert from Celsius")
print(" 'f' convert from Fahrenheit")
print(" 'q' quit the program")
def celsius_to_fahrenheit(c_temp):
return 9.0 / 5.0 * c_temp + 32
def fahrenheit_to_celsius(f_temp):
return (f_temp - 32.0) * 5.0 / 9.0
choice = "p"
while choice != "q":
if choice == "c":
c_temp = float(input("Celsius temperature: "))
print("Fahrenheit:", celsius_to_fahrenheit(c_temp))
choice = input("option: ")
elif choice == "f":
f_temp = float(input("Fahrenheit temperature: "))
print("Celsius:", fahrenheit_to_celsius(f_temp))
choice = input("option: ")
elif choice == "p": #Alternatively choice != "q": so that print when anything unexpected inputed
print_options()
choice = input("option: ")
Sample Run:
Options: 'p' print options 'c' convert from Celsius 'f' convert from Fahrenheit 'q' quit the program option: c Celsius temperature: 30 Fahrenheit: 86.0 option: f Fahrenheit temperature: 60 Celsius: 15.5555555556 option: q
area2.py
#! /usr/bin/python
#-*-coding: utf-8 -*-
# calculates a given rectangle area
def hello():
print('Hello!')
def area(width, height):
return width * height
def print_welcome(name):
print('Welcome,', name)
def positive_input(prompt):
number = float(input(prompt))
while number <= 0:
print('Must be a positive number')
number = float(input(prompt))
return number
name = input('Your Name: ')
hello()
print_welcome(name)
print()
print('To find the area of a rectangle,')
print('enter the width and height below.')
print()
w = positive_input('Width: ')
h = positive_input('Height: ')
print('Width =', w, ' Height =', h, ' so Area =', area(w, h))
Sample Run:
Your Name: Josh Hello! Welcome, Josh To find the area of a rectangle, enter the width and height below. Width: -4 Must be a positive number Width: 4 Height: 3 Width = 4 Height = 3 so Area = 12
Exercises
[edit | edit source]Rewrite the area2.py program from the Examples above to have a separate function for the area of a square, the area of a rectangle, and the area of a circle (3.14 * radius**2
). This program should include a menu interface.
def square(side):
return side * side
def rectangle(width , height):
return width * height
def circle(radius):
return 3.14159 * radius ** 2
def options():
print()
print("Options:")
print("s = calculate the area of a square.")
print("c = calculate the area of a circle.")
print("r = calculate the area of a rectangle.")
print("q = quit")
print()
print("This program will calculate the area of a square, circle or rectangle.")
choice = "x"
options()
while choice != "q":
choice = input("Please enter your choice: ")
if choice == "s":
side = float(input("Length of square side: "))
print("The area of this square is", square(side))
options()
elif choice == "c":
radius = float(input("Radius of the circle: "))
print("The area of the circle is", circle(radius))
options()
elif choice == "r":
width = float(input("Width of the rectangle: "))
height = float(input("Height of the rectangle: "))
print("The area of the rectangle is", rectangle(width, height))
options()
elif choice == "q":
print(" ",end="")
else:
print("Unrecognized option.")
options()
Advanced Functions Example
Some people find this section useful, and some find it confusing. If you find it confusing you can skip it. Now we will do a walk through for the following program:
def mult(a, b):
if b == 0:
return 0
rest = mult(a, b - 1)
value = a + rest
return value
print("3 * 2 = ", mult(3, 2))
Basically this program creates a positive integer multiplication function (that is far slower than the built in multiplication function) and then demonstrates this function with a use of the function. This program demonstrates the use of recursion, that is a form of iteration (repetition) in which there is a function that repeatedly calls itself until an exit condition is satisfied. It uses repeated additions to give the same result as mutiplication: e.g. 3 + 3 (addition) gives the same result as 3 * 2 (multiplication).
- Question: What is the first thing the program does?
- Answer: The first thing done is the function mult is defined with the lines:
def mult(a, b):
if b == 0:
return 0
rest = mult(a, b - 1)
value = a + rest
return value
- This creates a function that takes two parameters and returns a value when it is done. Later this function can be run.
- What happens next?
- The next line after the function,
print("3 * 2 = ", mult(3, 2))
is run. - And what does this do?
- It prints
3 * 2 =
and the return value ofmult(3, 2)
- And what does
mult(3, 2)
return? - We need to do a walkthrough of the
mult
function to find out. - What happens next?
- The variable
a
gets the value 3 assigned to it and the variableb
gets the value 2 assigned to it. - And then?
- The line
if b == 0:
is run. Sinceb
has the value 2 this is false so the linereturn 0
is skipped. - And what then?
- The line
rest = mult(a, b - 1)
is run. This line sets the local variablerest
to the value ofmult(a, b - 1)
. The value ofa
is 3 and the value ofb
is 2 so the function call ismult(3,1)
- So what is the value of
mult(3, 1)
? - We will need to run the function
mult
with the parameters 3 and 1. - So what happens next?
- The local variables in the new run of the function are set so that
a
has the value 3 andb
has the value 1. Since these are local values these do not affect the previous values ofa
andb
. - And then?
- Since
b
has the value 1 the if statement is false, so the next line becomesrest = mult(a, b - 1)
. - What does this line do?
- This line will assign the value of
mult(3, 0)
to rest. - So what is that value?
- We will have to run the function one more time to find that out. This time
a
has the value 3 andb
has the value 0. - So what happens next?
- The first line in the function to run is
if b == 0:
.b
has the value 0 so the next line to run isreturn 0
- And what does the line
return 0
do? - This line returns the value 0 out of the function.
- So?
- So now we know that
mult(3, 0)
has the value 0. Now we know what the linerest = mult(a, b - 1)
did since we have run the functionmult
with the parameters 3 and 0. We have finished runningmult(3, 0)
and are now back to runningmult(3, 1)
. The variablerest
gets assigned the value 0. - What line is run next?
- The line
value = a + rest
is run next. In this run of the function,a = 3
andrest = 0
so nowvalue = 3
. - What happens next?
- The line
return value
is run. This returns 3 from the function. This also exits from the run of the functionmult(3, 1)
. Afterreturn
is called, we go back to runningmult(3, 2)
. - Where were we in
mult(3, 2)
? - We had the variables
a = 3
andb = 2
and were examining the linerest = mult(a, b - 1)
. - So what happens now?
- The variable
rest
get 3 assigned to it. The next linevalue = a + rest
setsvalue
to3 + 3
or 6. - So now what happens?
- The next line runs, this returns 6 from the function. We are now back to running the line
print("3 * 2 = ", mult(3, 2))
which can now print out the 6. - What is happening overall?
- Basically we used two facts to calculate the multiple of the two numbers. The first is that any number times 0 is 0 (
x * 0 = 0
). The second is that a number times another number is equal to the first number plus the first number times one less than the second number (x * y = x + x * (y - 1)
). So what happens is3 * 2
is first converted into3 + 3 * 1
. Then3 * 1
is converted into3 + 3 * 0
. Then we know that any number times 0 is 0 so3 * 0
is 0. Then we can calculate that3 + 3 * 0
is3 + 0
which is3
. Now we know what3 * 1
is so we can calculate that3 + 3 * 1
is3 + 3
which is6
.
This is how the whole thing works:
3 * 2 3 + 3 * 1 3 + 3 + 3 * 0 3 + 3 + 0 3 + 3 6
Recursion
[edit | edit source]Programming constructs solving a problem by solving a smaller version of the same problem are called recursive. In the examples in this chapter, recursion is realized by defining a function calling itself. This facilitates implementing solutions to programming tasks as it may be sufficient to consider the next step of a problem instead of the whole problem at once. It is also useful as it allows to express some mathematical concepts with straightforward, easy to read code.
Any problem that can be solved with recursion could be re-implemented with loops. Using the latter usually results in better performance. However equivalent implementations using loops are usually harder to get done correctly.
Probably the most intuitive definition of recursion is:
- Recursion
- If you still don't get it, see recursion.
Try walking through the factorial example if the multiplication example did not make sense.
Examples
[edit | edit source]factorial.py
#defines a function that calculates the factorial
def factorial(n):
if n <= 1:
return 1
return n * factorial(n - 1)
print("2! =", factorial(2))
print("3! =", factorial(3))
print("4! =", factorial(4))
print("5! =", factorial(5))
Output:
2! = 2 3! = 6 4! = 24 5! = 120
countdown.py
def count_down(n):
print(n)
if n > 0:
return count_down(n-1)
count_down(5)
Output:
5 4 3 2 1 0
Lists
Variables with more than one value
[edit | edit source]You have already seen ordinary variables that store a single value. However other variable types can hold more than one value. These are called containers because they can contain more than one object. The simplest type is called a list. Here is an example of a list being used:
which_one = int(input("What month (1-12)? "))
months = ['January', 'February', 'March', 'April', 'May', 'June', 'July',
'August', 'September', 'October', 'November', 'December']
if 1 <= which_one <= 12:
print("The month is", months[which_one - 1])
and an output example:
What month (1-12)? 3 The month is March
In this example the months
is a list. months
is defined with the lines months = ['January', 'February', 'March', 'April', 'May', 'June', 'July',
and 'August', 'September', 'October', 'November', 'December']
(note that a \
could also be used to split a long line, but that is not necessary in this case because Python is intelligent enough to recognize that everything within brackets belongs together). The [
and ]
start and end the list with commas (,
) separating the list items. The list is used in months[which_one - 1]
. A list consists of items that are numbered starting at 0. In other words, if you wanted January you would use months[0]
. Give a list a number and it will return the value that is stored at that location.
The statement if 1 <= which_one <= 12:
will only be true if which_one
is between one and twelve inclusive (in other words it is what you would expect if you have seen that in algebra).
Lists can be thought of as a series of boxes. Each box has a different value. For example, the boxes created by demolist = ['life', 42, 'the universe', 6, 'and', 9]
would look like this:
box number | 0 | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|---|
demolist | "life" | 42 | "the universe" | 6 | "and" | 9 |
Each box is referenced by its number so the statement demolist[0]
would get 'life'
, demolist[1]
would get 42
and so on up to demolist[5]
getting 9
.
More features of lists
[edit | edit source]The next example is just to show a lot of other stuff lists can do (for once I don't expect you to type it in, but you should probably play around with lists in interactive mode until you are comfortable with them.). Here goes:
demolist = ["life", 42, "the universe", 6, "and", 9]
print("demolist = ",demolist)
demolist.append("everything")
print("after 'everything' was appended demolist is now:")
print(demolist)
print("len(demolist) =", len(demolist))
print("demolist.index(42) =", demolist.index(42))
print("demolist[1] =", demolist[1])
# Next we will loop through the list
for c in range(len(demolist)):
print("demolist[", c, "] =", demolist[c])
del demolist[2]
print("After 'the universe' was removed demolist is now:")
print(demolist)
if "life" in demolist:
print("'life' was found in demolist")
else:
print("'life' was not found in demolist")
if "amoeba" in demolist:
print("'amoeba' was found in demolist")
if "amoeba" not in demolist:
print("'amoeba' was not found in demolist")
another_list = [42,7,0,123]
another_list.sort()
print("The sorted another_list is", another_list)
The output is:
demolist = ['life', 42, 'the universe', 6, 'and', 9] after 'everything' was appended demolist is now: ['life', 42, 'the universe', 6, 'and', 9, 'everything'] len(demolist) = 7 demolist.index(42) = 1 demolist[1] = 42 demolist[ 0 ] = life demolist[ 1 ] = 42 demolist[ 2 ] = the universe demolist[ 3 ] = 6 demolist[ 4 ] = and demolist[ 5 ] = 9 demolist[ 6 ] = everything After 'the universe' was removed demolist is now: ['life', 42, 6, 'and', 9, 'everything'] 'life' was found in demolist 'amoeba' was not found in demolist The sorted another_list is [0, 7, 42, 123]
This example uses a whole bunch of new functions. Notice that you can
just print
a whole list. Next the append
function is used
to add a new item to the end of the list. len
returns how many
items are in a list. The valid indexes (as in numbers that can be
used inside of the []
) of a list range from 0 to len - 1
. The
index
function tells where the first location of an item is
located in a list. Notice how demolist.index(42)
returns 1, and
when demolist[1]
is run it returns 42. To get help on all the functions a list provides for you, type help(list)
in the interactive Python interpreter.
The line # Next we will loop through the list
is a just a reminder to the programmer (also called a comment). Python ignores everything that is written after a #
on the current line. Next the lines:
for c in range(len(demolist)):
print('demolist[', c, '] =', demolist[c])
create a variable c
, which starts at 0 and is incremented until it reaches the last index of the list. Meanwhile, the print
statement prints out each element of the list.
A much better way to do the above is:
for c, x in enumerate(demolist):
print("demolist[", c, "] =", x)
The del
command can be used to remove a given element in a list. The next few lines use the in
operator to test if an element is in or is not in a list. The sort
function sorts the list. This is useful if you need a
list in order from smallest number to largest or alphabetical. Note
that this rearranges the list. In summary, for a list, the following operations occur:
example | explanation |
---|---|
demolist[2]
|
accesses the element at index 2 |
demolist[2] = 3
|
sets the element at index 2 to be 3 |
del demolist[2]
|
removes the element at index 2 |
len(demolist)
|
returns the length of demolist
|
"value" in demolist
|
is True if "value" is an element in demolist
|
"value" not in demolist
|
is True if "value" is not an element in demolist
|
another_list.sort()
|
sorts another_list . Note that the list must be all numbers or all strings to be sorted.
|
demolist.index("value")
|
returns the index of the first place that "value" occurs
|
demolist.append("value")
|
adds an element "value" at the end of the list
|
demolist.remove("value")
|
removes the first occurrence of value from demolist (same as del demolist[demolist.index("value")] )
|
This next example uses these features in a more useful way:
menu_item = 0
namelist = []
while menu_item != 9:
print("--------------------")
print("1. Print the list")
print("2. Add a name to the list")
print("3. Remove a name from the list")
print("4. Change an item in the list")
print("9. Quit")
menu_item = int(input("Pick an item from the menu: "))
if menu_item == 1:
current = 0
if len(namelist) > 0:
while current < len(namelist):
print(current, ".", namelist[current])
current = current + 1
else:
print("List is empty")
elif menu_item == 2:
name = input("Type in a name to add: ")
namelist.append(name)
elif menu_item == 3:
del_name = input("What name would you like to remove: ")
if del_name in namelist:
# namelist.remove(del_name) would work just as fine
item_number = namelist.index(del_name)
del namelist[item_number]
# The code above only removes the first occurrence of
# the name. The code below from Gerald removes all.
# while del_name in namelist:
# item_number = namelist.index(del_name)
# del namelist[item_number]
else:
print(del_name, "was not found")
elif menu_item == 4:
old_name = input("What name would you like to change: ")
if old_name in namelist:
item_number = namelist.index(old_name)
new_name = input("What is the new name: ")
namelist[item_number] = new_name
else:
print(old_name, "was not found")
print("Goodbye")
And here is part of the output:
-------------------- 1. Print the list 2. Add a name to the list 3. Remove a name from the list 4. Change an item in the list 9. Quit Pick an item from the menu: 2 Type in a name to add: Jack Pick an item from the menu: 2 Type in a name to add: Jill Pick an item from the menu: 1 0 . Jack 1 . Jill Pick an item from the menu: 3 What name would you like to remove: Jack Pick an item from the menu: 4 What name would you like to change: Jill What is the new name: Jill Peters Pick an item from the menu: 1 0 . Jill Peters Pick an item from the menu: 9 Goodbye
That was a long program. Let's take a look at the source code. The line namelist = []
makes the variable namelist
a list with no items (or elements). The next important line is while menu_item != 9:
. This line starts a loop that allows the menu system for this program. The next few lines display a menu and decide which part of the program to run.
The section
current = 0
if len(namelist) > 0:
while current < len(namelist):
print(current, ".", namelist[current])
current = current + 1
else:
print("List is empty")
goes through the list and prints each name. len(namelist)
tells how many items are in the list. If len
returns 0
, then the list is empty.
Then, a few lines later, the statement namelist.append(name)
appears. It uses the append
function to add an item to the end of the list. Jump down another two lines, and notice this section of code:
item_number = namelist.index(del_name)
del namelist[item_number]
Here the index
function is used to find the index value that will be used later to remove the item. del namelist[item_number]
is used to remove an element of the list.
The next section
old_name = input("What name would you like to change: ")
if old_name in namelist:
item_number = namelist.index(old_name)
new_name = input("What is the new name: ")
namelist[item_number] = new_name
else:
print(old_name, "was not found")
uses index
to find the item_number
and then puts new_name
where the old_name
was.
Congratulations, with lists under your belt, you now know enough of the language that you could do any computations that a computer can do (this is technically known as Turing-Completeness). Of course, there are still many features that are used to make your life easier.
Examples
[edit | edit source]test.py
## This program runs a test of knowledge
# First get the test questions
# Later this will be modified to use file io.
def get_questions():
# notice how the data is stored as a list of lists
return [["What color is the daytime sky on a clear day? ", "blue"],
["What is the answer to life, the universe and everything? ", "42"],
["What is a three letter word for mouse trap? ", "cat"]]
# This will test a single question
# it takes a single question in
# it returns True if the user typed the correct answer, otherwise False
def check_question(question_and_answer):
# extract the question and the answer from the list
# This function takes a list with two elements, a question and an answer.
question = question_and_answer[0]
answer = question_and_answer[1]
# give the question to the user
given_answer = input(question)
# compare the user's answer to the tester's answer
if answer == given_answer:
print("Correct")
return True
else:
print("Incorrect, correct was:", answer)
return False
# This will run through all the questions
def run_test(questions):
if len(questions) == 0:
print("No questions were given.")
# the return exits the function
return
index = 0
right = 0
while index < len(questions):
# Check the question
#Note that this is extracting a question and answer list from the list of lists.
if check_question(questions[index]):
right = right + 1
# go to the next question
index = index + 1
# notice the order of the computation, first multiply, then divide
print("You got", right * 100 / len(questions),\
"% right out of", len(questions))
# now let's get the questions from the get_questions function, and
# send the returned list of lists as an argument to the run_test function.
run_test(get_questions())
The values True
and False
point to 1 and 0, respectively. They are often used in sanity checks, loop conditions etc. You will learn more about this a little bit later (chapter Boolean Expressions).
Please note that get_questions() is essentially a list because even though it's technically a function, returning a list of lists is the only thing it does.
Sample Output:
What color is the daytime sky on a clear day? green Incorrect, correct was: blue What is the answer to life, the universe and everything? 42 Correct What is a three letter word for mouse trap? cat Correct You got 66 % right out of 3
LinkbotMelody.py
We can also create our own lists of items and use for loops to loop through them. Lets try making a list of keyboard keys to play in order to play a simple tune. We'll write this program using the knowledge that middle-C is the 40th key on our keyboard. When you run this program, it should play the beginning of a very familiar tune. Can you guess what it is?
import barobo
dongle = barobo.Dongle()
dongle.connect()
robot = dongle.getLinkbot('6wbn') # Replace '6wbn' with the serial ID on your Linkbot
import time # Need to "import time" so we can use time.sleep()
myNotes = [44, 42, 40, 42, 44, 44, 44] # Put some notes into a list
t=0.5 # Set a value to be used for the duration of the note
for i in myNotes: # Select which keys on a piano keyboard to use for the tones
k=pow(2,(i-49)/12)*440 # Determines the frequency of the note to be played
robot.setBuzzerFrequency(k) # Directs the Linkbot to play this frequency
time.sleep(t) # Pauses the program while the note is played
robot.setBuzzerFrequency(0) # Turns off the piezo speaker at the end of each note
Exercises
[edit | edit source]Expand the test.py program so it has a menu giving the option of taking the test, viewing the list of questions and answers, and an option to quit. Also, add a new question to ask, "What noise does a truly advanced machine make?" with the answer of "ping".
Expand the test.py program so it has menu giving the option of taking the test, viewing the list of questions and answers, and an option to quit. Also, add a new question to ask, "What noise does a truly advanced machine make?" with the answer of "ping".
## This program runs a test of knowledge
questions = [["What color is the daytime sky on a clear day? ", "blue"],
["What is the answer to life, the universe and everything? ", "42"],
["What is a three letter word for mouse trap? ", "cat"],
["What noise does a truly advanced machine make?", "ping"]]
# This will test a single question
# it takes a single question in
# it returns True if the user typed the correct answer, otherwise False
def check_question(question_and_answer):
# extract the question and the answer from the list
question = question_and_answer[0]
answer = question_and_answer[1]
# give the question to the user
given_answer = input(question)
# compare the user's answer to the testers answer
if answer == given_answer:
print("Correct")
return True
else:
print("Incorrect, correct was:", answer)
return False
# This will run through all the questions
def run_test(questions):
if len(questions) == 0:
print("No questions were given.")
# the return exits the function
return
index = 0
right = 0
while index < len(questions):
# Check the question
if check_question(questions[index]):
right = right + 1
# go to the next question
index = index + 1
# notice the order of the computation, first multiply, then divide
print("You got", right * 100 / len(questions),
"% right out of", len(questions))
#showing a list of questions and answers
def showquestions():
q = 0
while q < len(questions):
a = 0
print("Q:" , questions[q][a])
a = 1
print("A:" , questions[q][a])
q = q + 1
# now let's define the menu function
def menu():
print("-----------------")
print("Menu:")
print("1 - Take the test")
print("2 - View a list of questions and answers")
print("3 - View the menu")
print("5 - Quit")
print("-----------------")
choice = "3"
while choice != "5":
if choice == "1":
run_test(questions)
elif choice == "2":
showquestions()
elif choice == "3":
menu()
print()
choice = input("Choose your option from the menu above: ")
For Loops
And here is the new typing exercise for this chapter:
onetoten = range(1, 11)
for count in onetoten:
print(count)
and the ever-present output:
1 2 3 4 5 6 7 8 9 10
The output looks awfully familiar but the program code looks different. The first line uses the range
function. The range
function uses two arguments like this range(start, finish)
. start
is the first number that is produced. finish
is one larger than the last number. Note that this program could have been done in a shorter way:
for count in range(1, 11):
print(count)
The range function returns an iterable. This can be converted into a list with the list
function.
Here are some examples to show what happens with the range
command:
>>> range(1, 10) range(1, 10) >>> list(range(1, 10)) [1, 2, 3, 4, 5, 6, 7, 8, 9] >>> list(range(-32, -20)) [-32, -31, -30, -29, -28, -27, -26, -25, -24, -23, -22, -21] >>> list(range(5,21)) [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] >>> list(range(5)) [0, 1, 2, 3, 4] >>> list(range(21, 5)) []
The next line for count in onetoten:
uses the for
control structure. A for
control structure looks like for variable in list:
. list
is gone through starting with the first element of the list and going to the last. As for
goes through each element in a list it puts each into variable
. That allows variable
to be used in each successive time the for
loop is run through. Here is another example (you don't have to type this) to demonstrate:
demolist = ['life', 42, 'the universe', 6, 'and', 7, 'everything']
for item in demolist:
print("The current item is:",item)
The output is:
The current item is: life The current item is: 42 The current item is: the universe The current item is: 6 The current item is: and The current item is: 7 The current item is: everything
Notice how the for
loop goes through and sets item to each element in the list. So, what is for
good for? The first use is to go through all the elements of a list and do something with each of them. Here's a quick way to add up all the elements:
list = [2, 4, 6, 8]
sum = 0
for num in list:
sum = sum + num
print("The sum is:", sum)
with the output simply being:
The sum is: 20
Or you could write a program to find out if there are any duplicates in a list like this program does:
list = [4, 5, 7, 8, 9, 1, 0, 7, 10]
list.sort()
prev = None
for item in list:
if prev == item:
print("Duplicate of", prev, "found")
prev = item
and for good measure:
Duplicate of 7 found
Okay, so how does it work? Here is a special debugging version to help you understand (you don't need to type this in):
l = [4, 5, 7, 8, 9, 1, 0, 7, 10]
print("l = [4, 5, 7, 8, 9, 1, 0, 7, 10]", "\t\tl:", l)
l.sort()
print("l.sort()", "\t\tl:", l)
prev = l[0]
print("prev = l[0]", "\t\tprev:", prev)
del l[0]
print("del l[0]", "\t\tl:", l)
for item in l:
if prev == item:
print("Duplicate of", prev, "found")
print("if prev == item:", "\t\tprev:", prev, "\titem:", item)
prev = item
print("prev = item", "\t\tprev:", prev, "\titem:", item)
with the output being:
l = [4, 5, 7, 8, 9, 1, 0, 7, 10] l: [4, 5, 7, 8, 9, 1, 0, 7, 10] l.sort() l: [0, 1, 4, 5, 7, 7, 8, 9, 10] prev = l[0] prev: 0 del l[0] l: [1, 4, 5, 7, 7, 8, 9, 10] if prev == item: prev: 0 item: 1 prev = item prev: 1 item: 1 if prev == item: prev: 1 item: 4 prev = item prev: 4 item: 4 if prev == item: prev: 4 item: 5 prev = item prev: 5 item: 5 if prev == item: prev: 5 item: 7 prev = item prev: 7 item: 7 Duplicate of 7 found if prev == item: prev: 7 item: 7 prev = item prev: 7 item: 7 if prev == item: prev: 7 item: 8 prev = item prev: 8 item: 8 if prev == item: prev: 8 item: 9 prev = item prev: 9 item: 9 if prev == item: prev: 9 item: 10 prev = item prev: 10 item: 10
The reason I put so many print
statements in the code was so that you can see what is happening in each line. (By the way, if you can't figure out why a program is not working, try putting in lots of print statements in places where you want to know what is happening.) First the program starts with a boring old list. Next the program sorts the list. This is so that any duplicates get put next to each other. The program then initializes a prev
(ious) variable. Next the first element of the list is deleted so that the first item is not incorrectly thought to be a duplicate. Next a for
loop is gone into. Each item of the list is checked to see if it is the same as the previous. If it is a duplicate was found. The value of prev
is then changed so that the next time the for
loop is run through prev
is the previous item to the current. Sure enough, the 7 is found to be a duplicate. (Notice how \t
is used to print a tab.)
The other way to use for
loops is to do something a certain number of times. Here is some code to print out the first 9 numbers of the Fibonacci series:
a = 1
b = 1
for c in range(1, 10):
print(a, end=" ")
n = a + b
a = b
b = n
with the surprising output:
1 1 2 3 5 8 13 21 34
Everything that can be done with for
loops can also be done with while
loops but for
loops give an easy way to go through all the elements in a list or to do something a certain number of times.
A Linkbot Example
[edit | edit source]In this example the Linkbot will play changing tones a fixed number of times while the duration remains constant. The Linkbot can also change tone and duration a fixed number of times. Here we are using a for loop running with in a fixed range of values.
setBuzzerFrequency.py
import barobo
dongle = barobo.Dongle()
dongle.connect()
robot = dongle.getLinkbot('6wbn') # Replace '6wbn' with the serial ID on your Linkbot
import time # For time.sleep()
t=1 # Set a value to be used for the duration of the note
for i in range (33,43): # Select which keys on a piano keyboard to use for the tones
k=pow(2,(i-49)/12)*440 # Determines the frequency of the note to be played
robot.setBuzzerFrequency(k) # Directs the Linkbot to play this frequency
time.sleep(t) # Pauses the program while the note is played
robot.setBuzzerFrequency(0) # Turns off the piezo speaker at the end of the program
When you run this example play around with the loop range and time values to create interesting sounds.
Boolean Expressions
Here is a little example of boolean expressions (you don't have to type it in):
a = 6
b = 7
c = 42
print(1, a == 6)
print(2, a == 7)
print(3, a == 6 and b == 7)
print(4, a == 7 and b == 7)
print(5, not a == 7 and b == 7)
print(6, a == 7 or b == 7)
print(7, a == 7 or b == 6)
print(8, not (a == 7 and b == 6))
print(9, not a == 7 and b == 6)
With the output being:
1 True 2 False 3 True 4 False 5 True 6 True 7 False 8 True 9 False
What is going on? The program consists of a bunch of funny looking print
statements. Each print
statement prints a number and an expression. The number is to help keep track of which statement I am dealing with. Notice how each expression ends up being either False
or True
. In Python false can also be written as 0 and true as 1.
The lines:
print(1, a == 6)
print(2, a == 7)
print out a True
and a False
respectively just as expected since the first is true and the second is false. The third print, print(3, a == 6 and b == 7)
, is a little different. The operator and
means if both the statement before and the statement after are true then the whole expression is true otherwise the whole expression is false. The next line, print(4, a == 7 and b == 7)
, shows how if part of an and
expression is false, the whole thing is false. The behavior of and
can be summarized as follows:
expression | result |
---|---|
true and true
|
true |
true and false
|
false |
false and true
|
false |
false and false
|
false |
Notice that if the first expression is false Python does not check the second expression since it knows the whole expression is false. Try running False and print("Hi")
and compare this to running True and print("Hi")
The technical term for this is short-circuit evaluation
The next line, print(5, not a == 7 and b == 7)
, uses the not
operator. not
just gives the opposite of the expression. (The expression could be rewritten as print(5, a != 7 and b == 7)
). Here is the table:
expression | result |
---|---|
not true
|
false |
not false
|
true |
The two following lines, print(6, a == 7 or b == 7)
and print(7, a == 7 or b == 6)
, use the or
operator. The or
operator returns true if the first expression is true, or if the second expression is true or both are true. If neither are true it returns false. Here's the table:
expression | result |
---|---|
true or true
|
true |
true or false
|
true |
false or true
|
true |
false or false
|
false |
Notice that if the first expression is true Python doesn't check the second expression since it knows the whole expression is true. This works since or
is true if at least one half of the expression is true. The first part is true so the second part could be either false or true, but the whole expression is still true.
The next two lines, print(8, not (a == 7 and b == 6))
and print(9, not a == 7 and b == 6)
, show that parentheses can be used to group expressions and force one part to be evaluated first. Notice that the parentheses changed the expression from false to true. This occurred since the parentheses forced the not
to apply to the whole expression instead of just the a == 7
portion.
Here is an example of using a boolean expression:
list = ["Life", "The Universe", "Everything", "Jack", "Jill", "Life", "Jill"]
# make a copy of the list. See the More on Lists chapter to explain what [:] means.
copy = list[:]
# sort the copy
copy.sort()
prev = copy[0]
del copy[0]
count = 0
# go through the list searching for a match
while count < len(copy) and copy[count] != prev:
prev = copy[count]
count = count + 1
# If a match was not found then count can't be < len
# since the while loop continues while count is < len
# and no match is found
if count < len(copy):
print("First Match:", prev)
And here is the output:
First Match: Jill
This program works by continuing to check for match while count < len(copy) and copy[count] is not equal to prev
. When either count
is greater than the last index of copy
or a match has been found the and
is no longer true so the loop exits. The if
simply checks to make sure that the while
exited because a match was found.
The other "trick" of and
is used in this example. If you look at the table for and
notice that the third entry is "false and false". If count >= len(copy)
(in other words count < len(copy)
is false) then copy[count]
is never looked at. This is because Python knows that if the first is false then they can't both be true. This is known as a short circuit and is useful if the second half of the and
will cause an error if something is wrong. I used the first expression (count < len(copy)
) to check and see if count
was a valid index for copy
. (If you don't believe me remove the matches "Jill" and "Life", check that it still works and then reverse the order of count < len(copy) and copy[count] != prev
to copy[count] != prev and count < len(copy)
.)
Boolean expressions can be used when you need to check two or more different things at once.
A note on Boolean Operators
[edit | edit source]A common mistake for people new to programming is a misunderstanding of the way that boolean operators works, which stems from the way the python interpreter reads these expressions. For example, after initially learning about "and " and "or" statements, one might assume that the expression x == ('a' or 'b')
would check to see if the variable x
was equivalent to one of the strings 'a'
or 'b'
. This is not so. To see what I'm talking about, start an interactive session with the interpreter and enter the following expressions:
>>> 'a' == ('a' or 'b') >>> 'b' == ('a' or 'b') >>> 'a' == ('a' and 'b') >>> 'b' == ('a' and 'b')
And this will be the unintuitive result:
>>> 'a' == ('a' or 'b') True >>> 'b' == ('a' or 'b') False >>> 'a' == ('a' and 'b') False >>> 'b' == ('a' and 'b') True
At this point, the and
and or
operators seem to be broken. It doesn't make sense that, for the first two expressions, 'a'
is equivalent to 'a'
or 'b'
while 'b'
is not. Furthermore, it doesn't make any sense that 'b' is equivalent to 'a'
and 'b'
. After examining what the interpreter does with boolean operators, these results do in fact exactly what you are asking of them, it's just not the same as what you think you are asking.
When the Python interpreter looks at an or
expression, it takes the first statement and checks to see if it is true. If the first statement is true, then Python returns that object's value without checking the second statement. This is because for an or
expression, the whole thing is true if one of the values is true; the program does not need to bother with the second statement. On the other hand, if the first value is evaluated as false Python checks the second half and returns that value. That second half determines the truth value of the whole expression since the first half was false. This "laziness" on the part of the interpreter is called "short circuiting" and is a common way of evaluating boolean expressions in many programming languages.
Similarly, for an and
expression, Python uses a short circuit technique to speed truth value evaluation. If the first statement is false then the whole thing must be false, so it returns that value. Otherwise if the first value is true it checks the second and returns that value.
One thing to note at this point is that the boolean expression returns a value indicating True
or False
, but that Python considers a number of different things to have a truth value assigned to them. To check the truth value of any given object x
, you can use the fuction bool(x)
to see its truth value. Below is a table with examples of the truth values of various objects:
True | False |
---|---|
True | False |
1 | 0 |
Numbers other than zero | The string 'None' |
Nonempty strings | Empty strings |
Nonempty lists | Empty lists |
Nonempty dictionaries | Empty dictionaries |
Now it is possible to understand the perplexing results we were getting when we tested those boolean expressions before. Let's take a look at what the interpreter "sees" as it goes through that code:
First case:
>>> 'a' == ('a' or 'b') # Look at parentheses first, so evaluate expression "('a' or 'b')" # 'a' is a nonempty string, so the first value is True # Return that first value: 'a' >>> 'a' == 'a' # the string 'a' is equivalent to the string 'a', so expression is True True
Second case:
>>> 'b' == ('a' or 'b') # Look at parentheses first, so evaluate expression "('a' or 'b')" # 'a' is a nonempty string, so the first value is True # Return that first value: 'a' >>> 'b' == 'a' # the string 'b' is not equivalent to the string 'a', so expression is False False
Third case:
>>> 'a' == ('a' and 'b') # Look at parentheses first, so evaluate expression "('a' and 'b')" # 'a' is a nonempty string, so the first value is True, examine second value # 'b' is a nonempty string, so second value is True # Return that second value as result of whole expression: 'b' >>> 'a' == 'b' # the string 'a' is not equivalent to the string 'b', so expression is False False
Fourth case:
>>> 'b' == ('a' and 'b') # Look at parentheses first, so evaluate expression "('a' and 'b')" # 'a' is a nonempty string, so the first value is True, examine second value # 'b' is a nonempty string, so second value is True # Return that second value as result of whole expression: 'b' >>> 'b' == 'b' # the string 'b' is equivalent to the string 'b', so expression is True True
So Python was really doing its job when it gave those apparently bogus results. As mentioned previously, the important thing is to recognize what value your boolean expression will return when it is evaluated, because it isn't always obvious.
Going back to those initial expressions, this is how you would write them out so they behaved in a way that you want:
>>> 'a' == 'a' or 'a' == 'b' True >>> 'b' == 'a' or 'b' == 'b' True >>> 'a' == 'a' and 'a' == 'b' False >>> 'b' == 'a' and 'b' == 'b' False
When these comparisons are evaluated they return truth values in terms of True or False, not strings, so we get the proper results.
Using the Linkbot's Accelerometer
[edit | edit source]An accelerometer is a device which can be used to detect the acceleration of an object, or the force of gravity. For instance, when you are sitting in a car and the driver steps on the gas pedal, you can feel a force pushing you back into your seat. Or, as you are sitting in your chair right now, you can feel Earth's gravity pulling you down, towards the center of the earth. The Linkbot can also feel these forces acting on it using its accelerometer, and you can get the accelerometer values from the Linkbot.
Lets take a look at the Linkbot's getAccelerometerData()
function.
import barobo
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot()
accel = myLinkbot.getAccelerometerData()
print(accel)
Output
[0.005859375, -0.1005859375, 0.9755859375]
This small program connects to a Linkbot, gets its accelerometer data, and prints it out. The number you get may be different than the ones shown, depending on the orientation and acceleration of your Linkbot when you ran the program.
Notice that the value isn't a single value, but is actually a list of 3 values. Each one of these values is the force (in G's) that the Linkbot is currently experiencing on a particular axis direction, corresponding to the x, y, and z axes of the Linkbot.
We can calculate the total magnitude of force that the Linkbot is experiencing through this equation:
Lets write a Python function that calculates the magnitude of acceleration given a list of three acceleration values:
import math # for math.sqrt(), the square-root function
def accelMag(accel):
return math.sqrt( accel[0]**2 + accel[1]**2 + accel[2]**2 )
import barobo
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('ABCD') # Replace 'ABCD' with your Linkbot's Serial ID
accel = myLinkbot.getAccelerometerData() # Get the accel values
print(accel) # print accel values
print(accelMag(accel)) # print total magnitude of accel values
Output:
[0.0078125, -0.1015625, 0.974609375] 0.9799180631054775
Note that the units of these numbers is in earth-gravitational units, usually called "G's". When the above output was produced, the code was executed on a Linkbot that was sitting still on a desk. Because the Linkbot is only being pulled on by Earth's gravity, we expect its magnitude to be very close to 1. If the Linkbot were weightless, floating in space, or in freefall, we can expect the magnitude to be close to zero.
Lets try tilting our Linkbot on a diagonal and running it again. We should expect the three numbers in the list to change, but the total magnitude should still be very close to 1.
Output:
[0.72265625, -0.6875, -0.0244140625] 0.997739621400201
As we can see, the accelMag()
function that we wrote can display the total magnitude of acceleration acting on the Linkbot regardless of direction. That means we can use it to detect free-fall or high acceleration events, like if the Linkbot is dropped, or bumps into something.
Now, lets try to write a program that makes the Linkbot beep if it detects that it is in freefall. Notice, though, that the values reported by the accelerometer have some "noise". Noise is tiny amounts of error that are picked up at random by robotic sensors. What this means is that the magnitude reported by the Linkbot will almost never exactly zero or exactly 1, even if the Linkbot is in free-fall or sitting still on your desk. What this means is when we write our program, we don't want to check to see if the acceleration magnitude is zero. Instead, we want to check to see if it is below a certain threshold; say, 0.2 G's.
import math # for math.sqrt()
def accelMag(accel):
return math.sqrt( accel[0]**2 + accel[1]**2 + accel[2]**2 )
import barobo
import time # for time.sleep()
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('ABCD') # Replace 'ABCD' with your Linkbot's Serial ID
print('Gently toss your Linkbot into the air. Type Ctrl-C to quit the program.')
while True:
accel = myLinkbot.getAccelerometerData()
if accelMag(accel) < 0.2: # 1
myLinkbot.setBuzzerFrequency(440) # 2
print('Wheeee!')
time.sleep(1)
myLinkbot.setBuzzerFrequency(0)
Notice that we've now added an infinite loop to the program. The loop repeatedly checks the accelerometer magnitude at "# 1". If the magnitude is less than 0.2, it beeps the buzzer for 1 second at "# 2".
Examples
[edit | edit source]password1.py
## This program asks a user for a name and a password.
# It then checks them to make sure that the user is allowed in.
name = input("What is your name? ")
password = input("What is the password? ")
if name == "Josh" and password == "Friday":
print("Welcome Josh")
elif name == "Fred" and password == "Rock":
print("Welcome Fred")
else:
print("I don't know you.")
Sample runs
What is your name? Josh What is the password? Friday Welcome Josh
What is your name? Bill What is the password? Money I don't know you.
Exercises
[edit | edit source]Write a program that has a user guess your name, but they only get 3 chances to do so until the program quits.
print("Try to guess my name!")
count = 1
name = "guilherme"
guess = input("What is my name? ")
while count < 3 and guess.lower() != name: # .lower allows things like Guilherme to still match
print("You are wrong!")
guess = input("What is my name? ")
count = count + 1
if guess.lower() != name:
print("You are wrong!") # this message isn't printed in the third chance, so we print it now
print("You ran out of chances.")
else:
print("Yes! My name is", name + "!")
Write a Linkbot program that beeps if the acceleration exceeds 2 G's. This typically happens if the robot is bumped, or when the robot is shaken vigorously.
import math
def accelMag(accel):
return math.sqrt( accel[0]**2 + accel[1]**2 + accel[2]**2 )
import barobo
import time # For time.sleep()
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('ABCD') # Change 'ABCD' to your Linkbot's Serial ID
print('Shake or bump your Linkbot. Type Ctrl-C to quit the program.')
while True:
accel = myLinkbot.getAccelerometerData()
if accelMag(accel) > 2:
myLinkbot.setBuzzerFrequency(440)
print('Ow!')
time.sleep(1)
myLinkbot.setBuzzerFrequency(0)
Dictionaries
This chapter is about dictionaries. Dictionaries have keys and values. The keys are used to find the values. Here is an example of a dictionary in use:
def print_menu():
print('1. Print Phone Numbers')
print('2. Add a Phone Number')
print('3. Remove a Phone Number')
print('4. Lookup a Phone Number')
print('5. Quit')
print()
numbers = {}
menu_choice = 0
print_menu()
while menu_choice != 5:
menu_choice = int(input("Type in a number (1-5): "))
if menu_choice == 1:
print("Telephone Numbers:")
for x in numbers.keys():
print("Name: ", x, "\tNumber:", numbers[x])
print()
elif menu_choice == 2:
print("Add Name and Number")
name = input("Name: ")
phone = input("Number: ")
numbers[name] = phone
elif menu_choice == 3:
print("Remove Name and Number")
name = input("Name: ")
if name in numbers:
del numbers[name]
else:
print(name, "was not found")
elif menu_choice == 4:
print("Lookup Number")
name = input("Name: ")
if name in numbers:
print("The number is", numbers[name])
else:
print(name, "was not found")
elif menu_choice != 5:
print_menu()
And here is my output:
1. Print Phone Numbers 2. Add a Phone Number 3. Remove a Phone Number 4. Lookup a Phone Number 5. Quit Type in a number (1-5): 2 Add Name and Number Name: Joe Number: 545-4464 Type in a number (1-5): 2 Add Name and Number Name: Jill Number: 979-4654 Type in a number (1-5): 2 Add Name and Number Name: Fred Number: 132-9874 Type in a number (1-5): 1 Telephone Numbers: Name: Jill Number: 979-4654 Name: Joe Number: 545-4464 Name: Fred Number: 132-9874 Type in a number (1-5): 4 Lookup Number Name: Joe The number is 545-4464 Type in a number (1-5): 3 Remove Name and Number Name: Fred Type in a number (1-5): 1 Telephone Numbers: Name: Jill Number: 979-4654 Name: Joe Number: 545-4464 Type in a number (1-5): 5
This program is similar to the name list earlier in the chapter on lists. Here's how the program works. First the function print_menu
is defined. print_menu
just prints a menu that is later used twice in the program. Next comes the funny looking line numbers = {}
. All that this line does is to tell Python that numbers
is a dictionary. The next few lines just make the menu work. The lines
for x in numbers.keys():
print "Name:", x, "\tNumber:", numbers[x]
go through the dictionary and print all the information. The function numbers.keys()
returns a list that is then used by the for
loop. The list returned by keys()
is not in any particular order so if you want it in alphabetic order it must be sorted. Similar to lists the statement numbers[x]
is used to access a specific member of the dictionary. Of course in this case x
is a string. Next the line numbers[name] = phone
adds a name and phone number to the dictionary. If name
had already been in the dictionary phone
would replace whatever was there before. Next the lines
if name in numbers:
del numbers[name]
see if a name is in the dictionary and remove it if it is. The operator name in numbers
returns true if name
is in numbers
but otherwise returns false. The line del numbers[name]
removes the key name
and the value associated with that key. The lines
if name in numbers:
print("The number is", numbers[name])
check to see if the dictionary has a certain key and if it does prints out the number associated with it. Lastly if the menu choice is invalid it reprints the menu for your viewing pleasure.
A recap: Dictionaries have keys and values. Keys can be strings or numbers. Keys point to values. Values can be any type of variable (including lists or even dictionaries (those dictionaries or lists of course can contain dictionaries or lists themselves (scary right? :-) ))). Here is an example of using a list in a dictionary:
max_points = [25, 25, 50, 25, 100]
assignments = ['hw ch 1', 'hw ch 2', 'quiz ', 'hw ch 3', 'test']
students = {'#Max': max_points}
def print_menu():
print("1. Add student")
print("2. Remove student")
print("3. Print grades")
print("4. Record grade")
print("5. Print Menu")
print("6. Exit")
def print_all_grades():
print('\t', end=' ')
for i in range(len(assignments)):
print(assignments[i], '\t', end=' ')
print()
keys = list(students.keys())
keys.sort()
for x in keys:
print(x, '\t', end=' ')
grades = students[x]
print_grades(grades)
def print_grades(grades):
for i in range(len(grades)):
print(grades[i], '\t', end=' ')
print()
print_menu()
menu_choice = 0
while menu_choice != 6:
print()
menu_choice = int(input("Menu Choice (1-6): "))
if menu_choice == 1:
name = input("Student to add: ")
students[name] = [0] * len(max_points)
elif menu_choice == 2:
name = input("Student to remove: ")
if name in students:
del students[name]
else:
print("Student:", name, "not found")
elif menu_choice == 3:
print_all_grades()
elif menu_choice == 4:
print("Record Grade")
name = input("Student: ")
if name in students:
grades = students[name]
print("Type in the number of the grade to record")
print("Type a 0 (zero) to exit")
for i in range(len(assignments)):
print(i + 1, assignments[i], '\t', end=' ')
print()
print_grades(grades)
which = 1234
while which != -1:
which = int(input("Change which Grade: "))
which -= 1 #same as which = which - 1
if 0 <= which < len(grades):
grade = int(input("Grade: "))
grades[which] = grade
elif which != -1:
print("Invalid Grade Number")
else:
print("Student not found")
elif menu_choice != 6:
print_menu()
and here is a sample output:
1. Add student 2. Remove student 3. Print grades 4. Record grade 5. Print Menu 6. Exit Menu Choice (1-6): 3 hw ch 1 hw ch 2 quiz hw ch 3 test #Max 25 25 50 25 100 Menu Choice (1-6): 5 1. Add student 2. Remove student 3. Print grades 4. Record grade 5. Print Menu 6. Exit Menu Choice (1-6): 1 Student to add: Bill Menu Choice (1-6): 4 Record Grade Student: Bill Type in the number of the grade to record Type a 0 (zero) to exit 1 hw ch 1 2 hw ch 2 3 quiz 4 hw ch 3 5 test 0 0 0 0 0 Change which Grade: 1 Grade: 25 Change which Grade: 2 Grade: 24 Change which Grade: 3 Grade: 45 Change which Grade: 4 Grade: 23 Change which Grade: 5 Grade: 95 Change which Grade: 0 Menu Choice (1-6): 3 hw ch 1 hw ch 2 quiz hw ch 3 test #Max 25 25 50 25 100 Bill 25 24 45 23 95 Menu Choice (1-6): 6
Heres how the program works. Basically the variable students
is a dictionary with the keys being the name of the students and the values being their grades. The first two lines just create two lists.
The next line students = {'#Max': max_points}
creates a new
dictionary with the key {#Max
} and the value is set to be [25, 25, 50, 25, 100]
(since that's what max_points
was when the assignment is made) (I use the key #Max
since #
is sorted ahead of any alphabetic characters). Next print_menu
is defined. Next the print_all_grades
function is defined in the
lines:
def print_all_grades():
print('\t',end=" ")
for i in range(len(assignments)):
print(assignments[i], '\t',end=" ")
print()
keys = list(students.keys())
keys.sort()
for x in keys:
print(x, '\t',end=' ')
grades = students[x]
print_grades(grades)
Notice how first the keys are gotten out of the students
dictionary with the keys
function in the line keys = list(students.keys())
. keys
is an iterable, and it is converted to list so all the functions for lists can be used on it. Next the keys are sorted in the line keys.sort()
. for
is used to go through all the keys. The grades are stored as a list inside the dictionary so the assignment grades = students[x]
gives grades
the list that is stored at the key x
. The function print_grades
just prints a list and is defined a few lines later.
The later lines of the program implement the various options of the menu. The line students[name] = [0] * len(max_points)
adds a student to the key of their name. The notation [0] * len(max_points)
just creates a list of 0's that is the same length as the max_points
list.
The remove student entry just deletes a student similar to the telephone book example. The record grades choice is a little more complex. The grades are retrieved in the line grades = students[name]
gets a reference to the grades of the student name
. A grade is then recorded in the line grades[which] = grade
. You may notice that grades
is never put back into the students dictionary (as in no students[name] = grades
). The reason for the missing statement is that grades
is actually another name for students[name]
and so changing grades
changes student[name]
.
Dictionaries provide an easy way to link keys to values. This can be used to easily keep track of data that is attached to various keys.
Using a Dictionary to Store Musical Notes
[edit | edit source]Up to this point, our Linkbot programs have been playing musical notes on the Linkbot either by specifying a specific frequency to play, such as myLinkbot.setBuzzerFrequency(440)
, or using an equation to calculate the frequency based on a keyboard key number. Wouldn't it be nice if we could just tell the Linkbot to play notes like "Do-Re-Mi", or "A-B-C"?
Perhaps we can use a dictionary to accomplish this task. We can use a dictionary that uses the strings "Do", "Re", "Mi", etc. as keys, and their actual frequencies as values. To find the actual values, we can use an equation or simply look them up online. A quick search shows these frequencies:
Note Name | Note Frequency |
---|---|
Do | 261.63 |
Re | 293.66 |
Mi | 329.63 |
Fa | 349.23 |
Sol | 392.00 |
La | 440 |
Ti | 493.88 |
Now we can create and use a dictionary to play notes.
import time # for time.sleep()
import barobo
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('ABCD') # Replace 'ABCD' with your Linkbot's ID
def playNote(linkbot, note): # 1
notes = { 'Do' : 261.63, # 2
'Re' : 293.66,
'Mi' : 329.63,
'Fa' : 349.23,
'Sol': 392.00,
'La' : 440,
'Ti' : 493.88 }
linkbot.setBuzzerFrequency( notes[note] )
time.sleep(0.5)
linkbot.setBuzzerFrequency(0)
mySong = [ # 3
'Do', 'Do',
'Sol', 'Sol',
'La', 'La',
'Sol', 'Sol',
'Fa', 'Fa',
'Mi', 'Mi',
'Re', 'Re',
'Do', 'Do',
]
for note in mySong: # 4
playNote(myLinkbot, note)
- Here, we define a helper function that helps us play notes. The function takes a linkbot object and a string note value such as "Do" as input arguments and plays that note on the linkbot for 0.5 seconds.
- This is where we create the dictionary that relates note names to note frequencies.
- This list defines the notes in a simple song we want to play.
- This loop takes each note in the list of notes that we constructed earlier and plays it using our
playNote()
function.
Using Modules
Here's this chapter's typing exercise (name it cal.py (import
actually looks for a file named calendar.py and reads it in. If the file is named calendar.py and it sees a "import calendar" it tries to read in itself which works poorly at best.)):
import calendar
year = int(input("Type in the year number: "))
calendar.prcal(year)
And here is part of the output I got:
Type in the year number: 2001 2001 January February March Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa Su 1 2 3 4 5 6 7 1 2 3 4 1 2 3 4 8 9 10 11 12 13 14 5 6 7 8 9 10 11 5 6 7 8 9 10 11 15 16 17 18 19 20 21 12 13 14 15 16 17 18 12 13 14 15 16 17 18 22 23 24 25 26 27 28 19 20 21 22 23 24 25 19 20 21 22 23 24 25 29 30 31 26 27 28 26 27 28 29 30 31
(I skipped some of the output, but I think you get the idea.) So what does the program do? The first line import calendar
uses a new command import
. The command import
loads a module (in this case the calendar
module). To see the commands available in the standard modules either look in the library reference for python (if you downloaded it) or go to http://docs.python.org/library/. If you look at the documentation for the calendar module, it lists a function called prcal
that prints a calendar for a year. The line calendar.prcal(year)
uses this function. In summary to use a module import
it and then use module_name.function
for functions in the module. Another way to write the program is:
from calendar import prcal
year = int(input("Type in the year number: "))
prcal(year)
This version imports a specific function from a module. Here is another program that uses the Python Library (name it something like clock.py) (press Ctrl and the 'c' key at the same time to terminate the program):
from time import time, ctime
prev_time = ""
while True:
the_time = ctime(time())
if prev_time != the_time:
print("The time is:", ctime(time()))
prev_time = the_time
With some output being:
The time is: Sun Aug 20 13:40:04 2000 The time is: Sun Aug 20 13:40:05 2000 The time is: Sun Aug 20 13:40:06 2000 The time is: Sun Aug 20 13:40:07 2000 Traceback (innermost last): File "clock.py", line 5, in ? the_time = ctime(time()) KeyboardInterrupt
The output is infinite of course so I canceled it (or the output at least continues until Ctrl+C is pressed). The program just does a infinite loop (True
is always true, so while True:
goes forever) and each time checks to see if the time has changed and prints it if it has. Notice how multiple names after the import statement are used in the line from time import time, ctime
.
The Python Library contains many useful functions. These functions give your programs more abilities and many of them can simplify programming in Python.
The following Barobo Linkbot program demonstrates multiple modules that are used to create some fun examples of playing with the Linkbot functionality. Comments have been added to the program to explain what the link is doing as you read. Once again the while True:
puts the program in an infinite loop that can be exited when Ctrl+C is pressed.
import barobo #imports the module with the Linkbot commands
import time #imports the module to use time.sleep
import random #imports a random integer generator
dongle = barobo.Dongle() #this block uses the 'barobo' module to connect the Linkbot
dongle.connect() #and the dongle that is plugged into the computer
robotID = input('Enter robot ID: ') #prompts user to enter Linkbot ID
robot = dongle.getLinkbot(robotID)
def callback(mask, buttons, data):
if buttons & 0x02:
robot.setLEDColor( #calls setLEDColor from 'barobo' module
random.randint(0, 255), #uses the 'random' integer generator from
random.randint(0, 255), #the random module to set colors
random.randint(0, 255)
)
robot.enableButtonCallback(callback)
while True:
time.sleep(1) #uses the 'time' module to call time.sleep command
Check out the range of colors and intensity the Linkbot is capable of generating with its built in RGB LED.
Exercises
[edit | edit source]Rewrite the high_low.py
program from section Decisions to use an random integer between 0 and 99 instead of the hard-coded 78. Use the Python documentation to find an appropriate module and function to do this.
Rewrite the high_low.py
program from section Decisions to use an random integer between 0 and 99 instead of the hard-coded 78. Use the Python documentation to find an appropriate module and function to do this.
from random import randint
number = randint(0, 99)
guess = -1
while guess != number:
guess = int(input ("Guess a number: "))
if guess > number:
print("Too high")
elif guess < number:
print("Too low")
print("Just right")
More on Lists
We have already seen lists and how they can be used. Now that you have some more background I will go into more detail about lists. First we will look at more ways to get at the elements in a list and then we will talk about copying them.
Here are some examples of using indexing to access a single element of a list:
>>> some_numbers = ['zero', 'one', 'two', 'three', 'four', 'five'] >>> some_numbers[0] 'zero' >>> some_numbers[4] 'four' >>> some_numbers[5] 'five'
All those examples should look familiar to you. If you want the first item in the list just look at index 0. The second item is index 1 and so on through the list. However what if you want the last item in the list? One way could be to use the len()
function like some_numbers[len(some_numbers) - 1]
. This way works since the len()
function always returns the last index plus one. The second from the last would then be some_numbers[len(some_numbers) - 2]
. There is an easier way to do this. In Python the last item is always index -1. The second to the last is index -2 and so on. Here are some more examples:
>>> some_numbers[len(some_numbers) - 1] 'five' >>> some_numbers[len(some_numbers) - 2] 'four' >>> some_numbers[-1] 'five' >>> some_numbers[-2] 'four' >>> some_numbers[-6] 'zero'
Thus any item in the list can be indexed in two ways: from the front and from the back.
Another useful way to get into parts of lists is using slicing. Here is another example to give you an idea what they can be used for:
>>> things = [0, 'Fred', 2, 'S.P.A.M.', 'Stocking', 42, "Jack", "Jill"] >>> things[0] 0 >>> things[7] 'Jill' >>> things[0:8] [0, 'Fred', 2, 'S.P.A.M.', 'Stocking', 42, 'Jack', 'Jill'] >>> things[2:4] [2, 'S.P.A.M.'] >>> things[4:7] ['Stocking', 42, 'Jack'] >>> things[1:5] ['Fred', 2, 'S.P.A.M.', 'Stocking']
Slicing is used to return part of a list. The slicing operator is in the form things[first_index:last_index]
. Slicing cuts the list before the first_index
and before the last_index
and returns the parts in between. You can use both types of indexing:
>>> things[-4:-2] ['Stocking', 42] >>> things[-4] 'Stocking' >>> things[-4:6] ['Stocking', 42]
Another trick with slicing is the unspecified index. If the first index is not specified the beginning of the list is assumed. If the last index is not specified the whole rest of the list is assumed. Here are some examples:
>>> things[:2] [0, 'Fred'] >>> things[-2:] ['Jack', 'Jill'] >>> things[:3] [0, 'Fred', 2] >>> things[:-5] [0, 'Fred', 2]
Here is a (HTML inspired) program example (copy and paste in the poem definition if you want):
poem = ["<B>", "Jack", "and", "Jill", "</B>", "went", "up", "the",
"hill", "to", "<B>", "fetch", "a", "pail", "of", "</B>",
"water.", "Jack", "fell", "<B>", "down", "and", "broke",
"</B>", "his", "crown", "and", "<B>", "Jill", "came",
"</B>", "tumbling", "after"]
def get_bolds(text):
true = 1
false = 0
## is_bold tells whether or not we are currently looking at
## a bold section of text.
is_bold = false
## start_block is the index of the start of either an unbolded
## segment of text or a bolded segment.
start_block = 0
for index in range(len(text)):
## Handle a starting of bold text
if text[index] == "<B>":
if is_bold:
print("Error: Extra Bold")
## print "Not Bold:", text[start_block:index]
is_bold = true
start_block = index + 1
## Handle end of bold text
## Remember that the last number in a slice is the index
## after the last index used.
if text[index] == "</B>":
if not is_bold:
print("Error: Extra Close Bold")
print("Bold [", start_block, ":", index, "]", text[start_block:index])
is_bold = false
start_block = index + 1
get_bolds(poem)
with the output being:
Bold [ 1 : 4 ] ['Jack', 'and', 'Jill'] Bold [ 11 : 15 ] ['fetch', 'a', 'pail', 'of'] Bold [ 20 : 23 ] ['down', 'and', 'broke'] Bold [ 28 : 30 ] ['Jill', 'came']
The get_bold()
function takes in a list that is broken into words and tokens. The tokens that it looks for are <B>
which starts the bold text and </B>
which ends bold text. The function get_bold()
goes through and searches for the start and end tokens.
The next feature of lists is copying them. If you try something simple like:
>>> a = [1, 2, 3] >>> b = a >>> print(b) [1, 2, 3] >>> b[1] = 10 >>> print(b) [1, 10, 3] >>> print(a) [1, 10, 3]
This probably looks surprising since a modification to b
resulted in a
being changed as well. What happened is that the
statement b = a
makes b
a reference to a
.
This means that b
can be thought of as another name for a
.
Hence any modification to b
changes a
as well. However
some assignments don't create two names for one list:
>>> a = [1, 2, 3] >>> b = a * 2 >>> print(a) [1, 2, 3] >>> print(b) [1, 2, 3, 1, 2, 3] >>> a[1] = 10 >>> print(a) [1, 10, 3] >>> print(b) [1, 2, 3, 1, 2, 3]
In this case b
is not a reference to a
since the expression a * 2
creates a new list. Then the statement
b = a * 2
gives b
a reference to a * 2
rather than a reference to a
. All assignment operations create a reference.
When you pass a list as an argument to a function you create a
reference as well. Most of the time you don't have to worry about
creating references rather than copies. However when you need to make
modifications to one list without changing another name of the list
you have to make sure that you have actually created a copy.
There are several ways to make a copy of a list. The simplest that works most of the time is the slice operator since it always makes a new list even if it is a slice of a whole list:
>>> a = [1, 2, 3] >>> b = a[:] >>> b[1] = 10 >>> print(a) [1, 2, 3] >>> print(b) [1, 10, 3]
Taking the slice [:]
creates a new copy of the list. However it only copies the outer list. Any sublist inside is still a references to the sublist in the original list. Therefore, when the list contains lists, the inner lists have to be copied as well. You could do that manually but Python already contains a module to do it. You use the deepcopy
function of the copy
module:
>>> import copy >>> a = [[1, 2, 3], [4, 5, 6]] >>> b = a[:] >>> c = copy.deepcopy(a) >>> b[0][1] = 10 >>> c[1][1] = 12 >>> print(a) [[1, 10, 3], [4, 5, 6]] >>> print(b) [[1, 10, 3], [4, 5, 6]] >>> print(c) [[1, 2, 3], [4, 12, 6]]
First of all notice that a
is a list of lists. Then notice
that when b[0][1] = 10
is run both a
and b
are changed, but c
is not. This happens because the inner arrays are still references when the slice operator is used. However with deepcopy
c
was fully copied.
So, should I worry about references every time I use a function or
=
? The good news is that you only have to worry about
references when using dictionaries and lists. Numbers and strings
create references when assigned but every operation on numbers and
strings that modifies them creates a new copy so you can never modify
them unexpectedly. You do have to think about references when you are
modifying a list or a dictionary.
By now you are probably wondering why are references used at all? The basic reason is speed. It is much faster to make a reference to a thousand element list than to copy all the elements. The other reason is that it allows you to have a function to modify the inputted list or dictionary. Just remember about references if you ever have some weird problem with data being changed when it shouldn't be.
Revenge of the Strings
And now presenting a cool trick that can be done with strings:
def shout(string):
for character in string:
print("Gimme a " + character)
print("'" + character + "'")
shout("Lose")
def middle(string):
print("The middle character is:", string[len(string) // 2])
middle("abcdefg")
middle("The Python Programming Language")
middle("Atlanta")
And the output is:
Gimme a L 'L' Gimme a o 'o' Gimme a s 's' Gimme a e 'e' The middle character is: d The middle character is: r The middle character is: a
What these programs demonstrate is that strings are similar to lists in several ways. The shout()
function shows that for
loops can be used with strings just as they can be used with lists. The middle
procedure shows that that strings can also use the len()
function and array indexes and slices. Most list features work on strings as well.
The next feature demonstrates some string specific features:
def to_upper(string):
## Converts a string to upper case
upper_case = ""
for character in string:
if 'a' <= character <= 'z':
location = ord(character) - ord('a')
new_ascii = location + ord('A')
character = chr(new_ascii)
upper_case = upper_case + character
return upper_case
print(to_upper("This is Text"))
with the output being:
THIS IS TEXT
This works because the computer represents the characters of a string as numbers from 0 to 1,114,111. For example 'A' is 65, 'B' is 66 and א is 1488. The values are the unicode value. Python has a function called ord()
(short for ordinal) that returns a character as a number. There is also a corresponding function called chr()
that converts a number into a character. With this in mind the program should start to be clear. The first detail is the line: if 'a' <= character <= 'z':
which checks to see if a letter is lower case. If it is then the next lines are used. First it is converted into a location so that a = 0, b = 1, c = 2 and so on with the line: location = ord(character) - ord('a')
. Next the new value is found with new_ascii = location + ord('A')
. This value is converted back to a character that is now upper case. Note that if you really need the upper case of a letter, you should use u=var.upper()
which will work with other languages as well.
Now for some interactive typing exercise:
>>> # Integer to String >>> 2 2 >>> repr(2) '2' >>> -123 -123 >>> repr(-123) '-123' >>> # String to Integer >>> "23" '23' >>> int("23") 23 >>> "23" * 2 '2323' >>> int("23") * 2 46 >>> # Float to String >>> 1.23 1.23 >>> repr(1.23) '1.23' >>> # Float to Integer >>> 1.23 1.23 >>> int(1.23) 1 >>> int(-1.23) -1 >>> # String to Float >>> float("1.23") 1.23 >>> "1.23" '1.23' >>> float("123") 123.0
If you haven't guessed already the function repr()
can convert an integer to a string and the function int()
can convert a string to an integer. The function float()
can convert a string to a float. The repr()
function returns a printable representation of something. Here are some examples of this:
>>> repr(1) '1' >>> repr(234.14) '234.14' >>> repr([4, 42, 10]) '[4, 42, 10]'
The int()
function tries to convert a string (or a float) into an integer. There is also a similar function called float()
that will convert a integer or a string into a float. Another function that Python has is the eval()
function. The eval()
function takes a string and returns data of the type that python thinks it found. For example:
>>> v = eval('123') >>> print(v, type(v)) 123 <type 'int'> >>> v = eval('645.123') >>> print(v, type(v)) 645.123 <type 'float'> >>> v = eval('[1, 2, 3]') >>> print(v, type(v)) [1, 2, 3] <type 'list'>
If you use the eval()
function you should check that it returns the type that you expect.
One useful string function is the split()
method. Here's an example:
>>> "This is a bunch of words".split() ['This', 'is', 'a', 'bunch', 'of', 'words'] >>> text = "First batch, second batch, third, fourth" >>> text.split(",") ['First batch', ' second batch', ' third', ' fourth']
Notice how split()
converts a string into a list of strings. The string is split by whitespace by default or by the optional argument (in this case a comma).
You can also add another argument that tells split()
how many times the separator will be used to split the text. For example:
>>> list = text.split(",") >>> len(list) 4 >>> list[-1] ' fourth' >>> list = text.split(",", 2) >>> len(list) 3 >>> list[-1] ' third, fourth'
Slicing strings (and lists)
[edit | edit source]Strings can be cut into pieces — in the same way as it was shown for lists in the previous chapter — by using the slicing "operator" []. The slicing operator works in the same way as before: text[first_index:last_index] (in very rare cases there can be another colon and a third argument, as in the example shown below).
In order not to get confused by the index numbers, it is easiest to see them as clipping places, possibilities to cut a string into parts. Here is an example, which shows the clipping places (in yellow) and their index numbers (red and blue) for a simple text string:
0 | 1 | 2 | ... | -2 | -1 | ||||||||||
↓ | ↓ | ↓ | ↓ | ↓ | ↓ | ↓ | |||||||||
text = | " | S | T | R | I | N | G | " | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
↑ | ↑ | ||||||||||||||
[: | :] |
Note that the red indexes are counted from the beginning of the string and the blue ones from the end of the string backwards. (Note that there is no blue -0, which could seem to be logical at the end of the string. Because -0 == 0, -0 means "beginning of the string" as well.) Now we are ready to use the indexes for slicing operations:
text[1:4] | → | "TRI" |
text[:5] | → | "STRIN" |
text[:-1] | → | "STRIN" |
text[-4:] | → | "RING" |
text[2] | → | "R" |
text[:] | → | "STRING" |
text[::-1] | → | "GNIRTS" |
text[1:4] gives us all of the text string between clipping places 1 and 4, "TRI". If you omit one of the [first_index:last_index] arguments, you get the beginning or end of the string as default: text[:5] gives "STRIN". For both first_index and last_index we can use both the red and the blue numbering schema: text[:-1] gives the same as text[:5], because the index -1 is at the same place as 5 in this case. If we do not use an argument containing a colon, the number is treated in a different way: text[2] gives us one character following the second clipping point, "R". The special slicing operation text[:] means "from the beginning to the end" and produces a copy of the entire string (or list, as shown in the previous chapter).
Last but not least, the slicing operation can have a second colon and a third argument, which is interpreted as the "step size": text[::-1] is text from beginning to the end, with a step size of -1. -1 means "every character, but in the other direction". "STRING" backwards is "GNIRTS" (test a step length of 2, if you have not got the point here).
All these slicing operations work with lists as well. In that sense strings are just a special case of lists, where the list elements are single characters. Just remember the concept of clipping places, and the indexes for slicing things will get a lot less confusing.
Examples
[edit | edit source]# This program requires an excellent understanding of decimal numbers.
def to_string(in_int):
"""Converts an integer to a string"""
out_str = ""
prefix = ""
if in_int < 0:
prefix = "-"
in_int = -in_int
while in_int // 10 != 0:
out_str = str(in_int % 10) + out_str
in_int = in_int // 10
out_str = str(in_int % 10) + out_str
return prefix + out_str
def to_int(in_str):
"""Converts a string to an integer"""
out_num = 0
if in_str[0] == "-":
multiplier = -1
in_str = in_str[1:]
else:
multiplier = 1
for c in in_str:
out_num = out_num * 10 + int(c)
return out_num * multiplier
print(to_string(2))
print(to_string(23445))
print(to_string(-23445))
print(to_int("14234"))
print(to_int("12345"))
print(to_int("-3512"))
The output is:
2 23445 -23445 14234 12345 -3512
File IO
File I/O
[edit | edit source]Here is a simple example of file I/O (input/output):
# Write a file
with open("test.txt", "wt") as out_file:
out_file.write("This Text is going to out file\nLook at it and see!")
# Read a file
with open("test.txt", "rt") as in_file:
text = in_file.read()
print(text)
The output and the contents of the file test.txt
are:
This Text is going to out file Look at it and see!
Notice that it wrote a file called test.txt
in the directory that you ran the program from. The \n
in the string tells Python to put a newline where it is.
A overview of file I/O is:
- Get a file object with the
open
function - Read or write to the file object (depending on how it was opened)
- If you did not use
with
to open the file, you'd have to close it manually
The first step is to get a file object. The way to do this is to use the open
function. The format is file_object = open(filename, mode)
where file_object
is the variable to put the file object, filename
is a string with the filename, and mode
is "rt"
to read a file as text or "wt"
to write a file as text (and a few others we will skip here). Next the file objects functions can be called. The two most common functions are read
and write
. The write
function adds a string to the end of the file. The read
function reads the next thing in the file and returns it as a string. If no argument is given it will return the whole file (as done in the example).
Now here is a new version of the phone numbers program that we made earlier:
def print_numbers(numbers):
print("Telephone Numbers:")
for k, v in numbers.items():
print("Name:", k, "\tNumber:", v)
print()
def add_number(numbers, name, number):
numbers[name] = number
def lookup_number(numbers, name):
if name in numbers:
return "The number is " + numbers[name]
else:
return name + " was not found"
def remove_number(numbers, name):
if name in numbers:
del numbers[name]
else:
print(name," was not found")
def load_numbers(numbers, filename):
in_file = open(filename, "rt")
while True:
in_line = in_file.readline()
if not in_line:
break
in_line = in_line[:-1]
name, number = in_line.split(",")
numbers[name] = number
in_file.close()
def save_numbers(numbers, filename):
out_file = open(filename, "wt")
for k, v in numbers.items():
out_file.write(k + "," + v + "\n")
out_file.close()
def print_menu():
print('1. Print Phone Numbers')
print('2. Add a Phone Number')
print('3. Remove a Phone Number')
print('4. Lookup a Phone Number')
print('5. Load numbers')
print('6. Save numbers')
print('7. Quit')
print()
phone_list = {}
menu_choice = 0
print_menu()
while True:
menu_choice = int(input("Type in a number (1-7): "))
if menu_choice == 1:
print_numbers(phone_list)
elif menu_choice == 2:
print("Add Name and Number")
name = input("Name: ")
phone = input("Number: ")
add_number(phone_list, name, phone)
elif menu_choice == 3:
print("Remove Name and Number")
name = input("Name: ")
remove_number(phone_list, name)
elif menu_choice == 4:
print("Lookup Number")
name = input("Name: ")
print(lookup_number(phone_list, name))
elif menu_choice == 5:
filename = input("Filename to load: ")
load_numbers(phone_list, filename)
elif menu_choice == 6:
filename = input("Filename to save: ")
save_numbers(phone_list, filename)
elif menu_choice == 7:
break
else:
print_menu()
print("Goodbye")
Notice that it now includes saving and loading files. Here is some output of my running it twice:
1. Print Phone Numbers 2. Add a Phone Number 3. Remove a Phone Number 4. Lookup a Phone Number 5. Load numbers 6. Save numbers 7. Quit Type in a number (1-7): 2 Add Name and Number Name: Jill Number: 1234 Type in a number (1-7): 2 Add Name and Number Name: Fred Number: 4321 Type in a number (1-7): 1 Telephone Numbers: Name: Jill Number: 1234 Name: Fred Number: 4321 Type in a number (1-7): 6 Filename to save: numbers.txt Type in a number (1-7): 7 Goodbye
1. Print Phone Numbers 2. Add a Phone Number 3. Remove a Phone Number 4. Lookup a Phone Number 5. Load numbers 6. Save numbers 7. Quit Type in a number (1-7): 5 Filename to load: numbers.txt Type in a number (1-7): 1 Telephone Numbers: Name: Jill Number: 1234 Name: Fred Number: 4321 Type in a number (1-7): 7 Goodbye
The new portions of this program are:
def load_numbers(numbers, filename):
in_file = open(filename, "rt")
while True:
in_line = in_file.readline()
if not in_line:
break
in_line = in_line[:-1]
name, number = in_line.split(",")
numbers[name] = number
in_file.close()
def save_numbers(numbers, filename):
out_file = open(filename, "wt")
for k, v in numbers.values():
out_file.write(k + "," + v + "\n")
out_file.close()
First we will look at the save portion of the program. First it creates a file object with the command open(filename, "wt")
. Next it goes through and creates a line for each of the phone numbers with the command out_file.write(x + "," + numbers[x] + "\n")
. This writes out a line that contains the name, a comma, the number and follows it by a newline.
The loading portion is a little more complicated. It starts by getting a file object. Then it uses a while True:
loop to keep looping until a break
statement is encountered. Next it gets a line with the line in_line = in_file.readline()
. The readline
function will return an empty string when the end of the file is reached. The if
statement checks for this and break
s out of the while
loop when that happens. Of course if the readline
function did not return the newline at the end of the line there would be no way to tell if an empty string was an empty line or the end of the file so the newline is left in what readline
returns. Hence we have to get rid of the newline. The line in_line = in_line[:-1]
does this for us by dropping the last character. Next the line name, number = in_line.split(",")
splits the line at the comma into a name and a number. This is then added to the numbers
dictionary.
Advanced use of .txt files
[edit | edit source]You might be saying to yourself, "Well I know how to read and write to a textfile, but what if I want to print the file without opening out another program?"
There are a few different ways to accomplish this. The easiest way does open another program, but everything is taken care of in the Python code, and doesn't require the user to specify a file to be printed. This method involves invoking the subprocess of another program.
Remember the file we wrote output to in the above program? Let's use that file. Keep in mind, in order to prevent some errors, this program uses concepts from the Next chapter. Please feel free to revisit this example after the next chapter.
import subprocess
def main():
try:
print("This small program invokes the print function in the Notepad application")
#Lets print the file we created in the program above
subprocess.call(['notepad','/p','numbers.txt'])
except WindowsError:
print("The called subprocess does not exist, or cannot be called.")
main()
The subprocess.call
takes three arguments. The first argument in the context of this example, should be the name of the program which you would like to invoke the printing subprocess from. The second argument should be the specific subprocess within that program. For simplicity, just understand that in this program, '/p'
is the subprocess used to access your printer through the specified application. The last argument should be the name of the file you want to send to the printing subprocess. In this case, it is the same file used earlier in this chapter.
Storing and loading music saved in a text file
[edit | edit source]This section will demonstrate how we can store simple melodies in a file. We can then write a program that reads the file and plays the melody on a Linkbot.
A little music theory
[edit | edit source]To fully understand the sample program, we will need a little knowledge about music theory. If you don't care about music theory and you just want to get the Linkbot to play music, you can skip to the next section.
What is music? Music is a series of notes played in a certain order. Sometimes, more than one note is played together. Each note is played for a certain duration. Notes themselves are vibrations in the air that we can hear. Each note has a certain frequency of vibration; when the frequency changes, the perceived pitch of the note changes too.
Each note has a name. If you know it's name, you can find it on a piano keyboard, and vice versa. You may have heard the term "Middle-C", or the phrase "Do-Re-Mi". These are both ways to refer to notes. If you are familiar with a piano keyboard, you will know that the "C" note appears more than once on the keyboard. When you play the C notes, you'll notice that they don't sound the same, but they are all called "C". It turns out that there are 12 tones that repeat over and over again. Starting at C, they are:
- C
- C# (Db)
- D
- D# (Eb)
- E
- F
- F# (Gb)
- G
- G# (Ab)
- A
- A# (Bb)
- B
The "#" symbol is pronounced "sharp", so C# is pronounced "See-Sharp". The "sharp" indicates that the tone is one step higher than the normal note. For instance, "A#" is one step higher than "A". You might also be familiar with another symbol that looks like a lowercase b. That symbol is pronounced "flat", so "Bb" is pronounced "B-flat". It has the opposite meaning of sharp, indicating that the note is one step lower than the un-flatted note. This means that the note "G#" is actually the same note as "Ab". For now, we will only use sharps to avoid confusion. On a piano keyboard, all of the sharp/flat notes are the black keys and the rest of the notes are the white keys.
On a piano keyboard, these notes repeat over and over again, so we must devise a way to specifically refer which A or B or C we are referring to. To do this, we introduce the concept of an octave number. The lowest note a piano can play is called "A0", where 0 is the octave number. Going from left to right on a piano keyboard, the octave number increases every time you encounter the C note. Thus, the first several white keys on a piano keyboard from left to right are:
- A0
- B0
- C1
- D1
- E1
- F1
- G1
- A1
- B1
- C2
- etc...
Now, we have a way to specify exactly what key on a keyboard we are referring to using a string such as "F#5".
We also have an equation where we can calculate the frequency of a note depending on how many steps away it is from our "A0" note. The equation is:
For instance, G0 is -2 steps away from A0, and B0 is 2 steps away from A0. For notes in the same octave, we can simply count the number of black and white keys to find the distance away from A, but how about different octaves? For instance, how many keys away is A0 from B4?
First, lets consider how many notes away A4 is from A0. When we count the keys, each octave is 12 notes. Since A4 is 4 octave away from 0 (4-0 = 4), A4 is 4*12=48 keys away from A0.
How about A0 and B4? A0 is 2 keys away from B0, and B0 is 4*12 keys away from B4, so in total, A0 is 2+4*12 = 50 keys away from B4. Now, we can write an equation to figure out exactly how many keys away any note is from A0. Lets use the variable for the note name we want, and for the octave of the note. Then,
Reading and playing a melody from a file
[edit | edit source]First, let us write a function that takes a string describing a note such as "A4" and gives us a frequency for that note. Here is our strategy:
- We receive a string describing the note. The first character is the letter name of the note. We calculate the offset of that letter name from the "A" note. For instance, "B" would have an offset of +2 and "E" would have an offset of -5. We find these offsets simply by counting the keys on a keyboard.
- The next character in the string might be a "#" sharp or a "b" flat. If it is sharp, increase the offset by one. If it is flat, decrease it by one. If it is neither, don't do anything.
- The final character is the octave number. We multiply this number by 12 and add it to our offset.
- The result is the number of keys away the note is away from A0. We can now use the equation to find the frequency based on the key offset from A0.
Next, lets talk about our file format. Since the Linkbot can only play one note at a time, the file should specify single notes for the Linkbot to play. Also, the file should specify how many seconds to play each note. We choose to have our file such that each line contains a note name such as "C4" or "Bb3", along with a note duration in seconds.
Here is a file that we have created for you:
fur_elise.txt
E5 0.125 D#5 0.125 E5 0.125 D#5 0.125 E5 0.125 B4 0.125 D5 0.125 C5 0.125 A4 0.375 C4 0.125 E4 0.125 A4 0.125 B4 0.375 G#3 0.125 G#4 0.125 B4 0.125 C5 0.375 E4 0.125 E5 0.125 D#5 0.125 E5 0.125 D#5 0.125 E5 0.125 B4 0.125 D5 0.125 C5 0.125 A4 0.375 C4 0.125 E4 0.125 A4 0.125 B4 0.375 E4 0.125 C5 0.125 B4 0.125 A4 0.375
Go ahead and copy-paste the text into a file called "fur_elise.txt". Lets write our function and program that will read this file and play a tune.
import time
import barobo
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot()
def noteToFreq(note):
# First, we need to figure out where the note is relative to 'A'.
# For instance, 'B' is 2 half-steps above A, 'C' is 9 half-steps
# below 'A'. Lets create a dictionary called "note-offset" and store
# all of our offsets from A in the dictionary.
noteOffsets = {
'C' : -9,
'D' : -7,
'E' : -5,
'F' : -4,
'G' : -2,
'A' : 0,
'B' : 2 }
# Find our offset
offset = noteOffsets[ note[0].upper() ] # 1
# See if there is a sharp or flat
if note[1] == '#':
offset += 1
elif note[1] == 'b':
offset -= 1
# Calculate the offset based on the octave
octave = int(note[-1]) # 2
offset += (octave)*12
# Calculate the note frequency
freq = 2**((offset)/12)*27.5
return freq
musicFile = open('fur_elise.txt', 'r')
for line in musicFile: # 3
data = line.split() # 4
myLinkbot.setBuzzerFrequency(noteToFreq(data[0]))
time.sleep( float(data[1]) )
myLinkbot.setBuzzerFrequency(0)
note[0].upper()
takes the first character and uppercases it. We want to uppercase anything that comes in just in case the user used a lowercase note name, like "e4". Since we wrote our dictionary with uppercase note names, we need to make sure the incoming note names are upper-case too so that it can be matched with the ones in our dictionary.- The "-1" index means the last item of a list. Since all of the items in our list are strings, we need to convert it to an integer with
int
. - This loop goes through every single line in the music file, line by line. Each time, it stores the text of the line in the
line
variable. - The
split()
function splits lines of text based on whitespace. For instance,"Hello there".split()
becomes the list["Hello", "there"]
. Since each line in our text file has 2 "words", the first part (the note name) is stored into our variabledata[0]
, and the second part (the note duration) is stored intodata[1]
.
Exercises
[edit | edit source]Now modify the grades program from section Dictionaries so that is uses file I/O to keep a record of the students.
Now modify the grades program from section Dictionaries so that is uses file I/O to keep a record of the students.
assignments = ['hw ch 1', 'hw ch 2', 'quiz ', 'hw ch 3', 'test']
students = { }
def load_grades(gradesfile):
inputfile = open(gradesfile, "r")
grades = [ ]
while True:
student_and_grade = inputfile.readline()
student_and_grade = student_and_grade[:-1]
if not student_and_grade:
break
else:
studentname, studentgrades = student_and_grade.split(",")
studentgrades = studentgrades.split(" ")
students[studentname] = studentgrades
inputfile.close()
print("Grades loaded.")
def save_grades(gradesfile):
outputfile = open(gradesfile, "w")
for k, v in students.values():
outputfile.write(k + ",")
for x in v:
outputfile.write(x + " ")
outputfile.write("\n")
outputfile.close()
print("Grades saved.")
def print_menu():
print("1. Add student")
print("2. Remove student")
print("3. Load grades")
print("4. Record grade")
print("5. Print grades")
print("6. Save grades")
print("7. Print Menu")
print("9. Quit")
def print_all_grades():
if students:
keys = sorted(students.keys())
print('\t', end=' ')
for x in assignments:
print(x, '\t', end=' ')
print()
for x in keys:
print(x, '\t', end=' ')
grades = students[x]
print_grades(grades)
else:
print("There are no grades to print.")
def print_grades(grades):
for x in grades:
print(x, '\t', end=' ')
print()
print_menu()
menu_choice = 0
while menu_choice != 9:
print()
menu_choice = int(input("Menu Choice: "))
if menu_choice == 1:
name = input("Student to add: ")
students[name] = [0] * len(assignments)
elif menu_choice == 2:
name = input("Student to remove: ")
if name in students:
del students[name]
else:
print("Student:", name, "not found")
elif menu_choice == 3:
gradesfile = input("Load grades from which file? ")
load_grades(gradesfile)
elif menu_choice == 4:
print("Record Grade")
name = input("Student: ")
if name in students:
grades = students[name]
print("Type in the number of the grade to record")
print("Type a 0 (zero) to exit")
for i,x in enumerate(assignments):
print(i + 1, x, '\t', end=' ')
print()
print_grades(grades)
which = 1234
while which != -1:
which = int(input("Change which Grade: "))
which -= 1
if 0 <= which < len(grades):
grade = input("Grade: ") # Change from float(input()) to input() to avoid an error when saving
grades[which] = grade
elif which != -1:
print("Invalid Grade Number")
else:
print("Student not found")
elif menu_choice == 5:
print_all_grades()
elif menu_choice == 6:
gradesfile = input("Save grades to which file? ")
save_grades(gradesfile)
elif menu_choice != 9:
print_menu()
Write a program that reads a text file containing motor angles, such as
90 45 20 180 22 -180 5 32 0
Each triplet of numbers represents three motor angles. Write a program that moves the Linkbot's joints to those positions with the moveTo()
function for each line in the data file.
Dealing with the imperfect
...or how to handle errors
[edit | edit source]closing files with with
[edit | edit source]We use the "with" statement to open and close files.[1][2]
with open("in_test.txt", "rt") as in_file:
with open("out_test.txt", "wt") as out_file:
text = in_file.read()
data = parse(text)
results = encode(data)
out_file.write(results)
print( "All done." )
If some sort of error happens anywhere in this code (one of the files is inaccessible, the parse() function chokes on corrupt data, etc.) the "with" statements guarantee that all the files will eventually be properly closed. Closing a file just means that the file is "cleaned up" and "released" by our program so that it can be used in another program.
catching errors with try
[edit | edit source]So you now have the perfect program, it runs flawlessly, except for one detail, it will crash on invalid user input. Have no fear, for Python has a special control structure for you. It's called try
and it tries to do something. Here is an example of a program with a problem:
print("Type Control C or -1 to exit")
number = 1
while number != -1:
number = int(input("Enter a number: "))
print("You entered:", number)
Notice how when you enter @#&
it outputs something like:
Traceback (most recent call last): File "try_less.py", line 4, in <module> number = int(input("Enter a number: ")) ValueError: invalid literal for int() with base 10: '\\@#&'
As you can see the int()
function is unhappy with the number @#&
(as well it should be). The last line shows what the problem is; Python found a ValueError
. How can our program deal with this? What we do is first: put the place where errors may occur in a try
block, and second: tell Python how we want ValueError
s handled. The following program does this:
print("Type Control C or -1 to exit")
number = 1
while number != -1:
try:
number = int(input("Enter a number: "))
print("You entered:", number)
except ValueError:
print("That was not a number.")
Now when we run the new program and give it @#&
it tells us "That was not a number." and continues with what it was doing before.
When your program keeps having some error that you know how to handle, put code in a try
block, and put the way to handle the error in the except
block.
Generating Errors: Controlling a Linkbot's Speed
[edit | edit source]We've seen in previous examples that we can write a function that makes a wheeled robot travel a certain distance. We can also control the rotational velocity of the motors with the setJointSpeed()
function. The setJointSpeed()
function expects a rotational speed with units of degrees/sec, but it would be nice if we could have a function where we could set the robot speed using inches/sec. The math equation to convert inches/sec to degrees/sec is
where is the wheel radius. Lets expand our example from the Learning Python 3 with the Linkbot/Defining Functions section:
Terminology The character is "omega" and is commonly used to represent rotational velocities. Typically, the units of are in radians/second, but in this example, the units are in degrees/second. |
import barobo
import math # So that we can use math.pi
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('abcd') # Change abcd to your Linkbot's serial ID
def driveDistance(linkbot, distance):
r = 3.5 / 2 # If you have a wheel that's not 3.5 inches in diameter, change "3.5" to the diameter of your wheel
degrees = (360) / (2 * math.pi * r) * distance
linkbot.move(degrees, 0, -degrees)
def setSpeed(linkbot, speed):
r = 3.5 / 2
omega = (speed/r) * (180/math.pi)
linkbot.setJointSpeed(1, omega)
linkbot.setJointSpeed(3, omega)
setSpeed(myLinkbot, 2.5) # Sets the speed to 2.5 inches/sec
driveDistance(myLinkbot, 10) # Drives the Linkbot 10 inches forward
driveDistance(myLinkbot, -5) # Drives the Linkbot 5 inches backward
This example is all well and good. We define a new function setSpeed()
that sets the speed of a Linkbot wheeled vehicle and we use it to set the speed to 2.5 inches per second.
What if the programmer tries to set the speed to 1,000 inches/second? Or 1,000,000 inches/second? Although it would be cool to see a Linkbot compete with a Formula One race car, there are physical limitations that prevent the Linkbot's motors from moving more than 200 degrees/second. If the speed is too high, we should set an error the user can see and possibly deal with. This is called "raising an exception". The code to raise an exception looks like this:
def setSpeed(linkbot, speed):
r = 3.5 / 2
omega = (speed/r) * (180/math.pi)
if omega > 200:
raise Exception('The speed is too high!')
linkbot.setJointSpeed(1, omega)
linkbot.setJointSpeed(3, omega)
When an exception is raised, the function immediately returns with the exception. These raised exceptions can be caught by try/except blocks. If the exception occurred outside of a try/except block, the entire program will quit and display the error message of the exception. In the setSpeed()
function, this means that if the raise
is executed, the two setJointSpeed()
statements will be skipped.
When I run the new program and I try to set the speed to 1000 inches a second, I get this output:
Traceback (most recent call last): File "./linkbot_speed.py", line 20, in <module> setSpeed(myLinkbot, 1000) # Sets the speed to 1000 inches/sec File "./linkbot_speed.py", line 16, in setSpeed raise Exception('The speed is too high!') Exception: The speed is too high!
Now you can use try/catch blocks to deal with possible errors. Lets try writing a program that tries to set the speed to 10 inches per second again, except every time it encounters an exception, in reduces the requested speed by 1 inch/second and tries again.
import barobo
import math # So that we can use math.pi
dongle = barobo.Dongle()
dongle.connect()
myLinkbot = dongle.getLinkbot('ABCD') # Change ABCD to your Linkbot's serial ID
def driveDistance(linkbot, distance):
r = 3.5 / 2 # If you have a wheel that's not 3.5 inches in diameter, change "3.5" to the diameter of your wheel
degrees = (360) / (2 * math.pi * r) * distance
linkbot.move(degrees, 0, -degrees)
def setSpeed(linkbot, speed):
r = 3.5 / 2
omega = (speed/r) * (180/math.pi)
if omega > 200:
raise Exception('The speed is too high!')
linkbot.setJointSpeed(1, omega)
linkbot.setJointSpeed(3, omega)
requestedSpeed = 10 # 1
while True: # 2
try:
print('Trying to set speed to: ' + str(requestedSpeed) + 'inches/sec')
setSpeed(myLinkbot, requestedSpeed) # 3
print('Success!')
break # 4
except:
print('Failed.')
requestedSpeed -= 1 # 5
# 6
driveDistance(myLinkbot, 10) # Drives the Linkbot 10 inches forward
driveDistance(myLinkbot, -5) # Drives the Linkbot 5 inches backward
The output is
Trying to set speed to: 10inches/sec Failed. Trying to set speed to: 9inches/sec Failed. Trying to set speed to: 8inches/sec Failed. Trying to set speed to: 7inches/sec Failed. Trying to set speed to: 6inches/sec Success!
Lets step through this program together to make sure we fully understand what is happening.
- # 1 : When we first get to this line, we create a new variable called
requestedSpeed
and set its value to "10". - # 2 : Enter an infinite loop
- # 3 : Try to set the speed.
requestedSpeed
is currently 10, which is too high. ThesetSpeed()
function raises an exception. Since we are in a try/except block, we immediately go to the except block since an exception was thrown. Proceed to # 5 - # 5 : Decrease
requestedSpeed
by one.requestedSpeed
is now 9. This is the end of ourwhile
loop, which means that Python goes back to the beginning of the loop. - # 3 : We end up at # 3 again, except
requestedSpeed
is now 9. Still too high, exception is thrown. - # 5 : Again, we decrease
requestedSpeed
to 8. - # 3 : Still too high...
- # 5 : Reduce to 7...
- # 3 : Still too high...
- # 5 : Reduce to 6.
- # 3 : Now it succeeds. Since it succeeded, no exception was raised. Continue to # 4
- # 4 : This
break
statement pops us out of the loop. Proceed to # 6 and the rest of the program.
Exercises
[edit | edit source]Update at least the phone numbers program (in section Dictionaries) so it doesn't crash if a user doesn't enter any data at the menu.
Recursion
Recursion
[edit | edit source]In Python, a recursive function is a function which calls itself.
Introduction to recursion
[edit | edit source]So far, in Python, we have seen functions which call other functions. However, it is possible for a function to call itself. Lets look at a simple example.
# Program by Mitchell Aikens
# No Copyright
# 2010
num = 0
def main():
counter(num)
def counter(num):
print(num)
num += 1
counter(num)
main()
If you were to run this program in IDLE, it would run forever. The only way to stop the loop would be to interrupt the execution by pressing Ctrl + C on your keyboard. This is an example of an infinite recursion. (Some users have reported a glitch in the current IDLE system causing the exception raised by Ctrl + C to start looping as well. If this happens, press Ctrl + F6, and the IDLE shell should restart.)
It is arguable that recursion is just another way to accomplish the same thing as a while loop. In some cases, this is absolutely correct. Though, there are other uses for Recursion that are very valid, where while
loops or for
loops may not be optimal.
Recursion can be controlled, just like loops. Lets look at an example of a controlled loop.
# Program by Mitchell Aikens
# No copyright
# 2012
def main():
loopnum = int(input("How many times would you like to loop?\n"))
counter = 1
recurr(loopnum,counter)
def recurr(loopnum,counter):
if loopnum > 0:
print("This is loop iteration",counter)
recurr(loopnum - 1,counter + 1)
else:
print("The loop is complete.")
main()
The above uses arguments/parameters to control the number of recursions. Simply use what you already know about functions and follow the flow of the program. It is simple to figure out. If you are having trouble, please refer back to Non-Programmer's Tutorial for Python 3/Advanced Functions Example.
Practical Applications of Recursion
[edit | edit source]Often, recursion is studied at an advanced computer science level. Recursion is usually used to solve complex problems, that can be broken down into smaller, identical problems. Recursion isn't required to solve a problem. Problems that can be solved with recursion, most likely can be solved with loops. Also, a loop may be more efficient than a recursive function. Recursive functions require more memory, and resources than loops, making them less efficient in a lot of cases. This usage requirement is sometimes referred to as overhead. You might be thinking, "Well why bother with recursion. I'll just use a loop. I already know how to loop and this is a lot more work." This thought is understandable, but not entirely ideal. When solving complex problems, a recursive function is sometimes easier, faster, and simpler to build and code.
Think of these two "rules":
- If I can solve the problem now, without recursion, the function simply returns a value.
- If I cannot solve the problem now without recursion, the function reduces the problem to something smaller and similar, and calls itself to solve the problem.
Let's apply this using a common mathematical concept, factorials. If you are unfamiliar with factorials in mathematics, please refer to the following reading. Factorials
The factorial of a number n, is denoted as n!.
Here are some basic rules of factorials.
If n = 0 then n! = 1 If n > 0 then n! = 1 x 2 x 3 x ... x n
For example, let's look at the factorial of the number 9.
9! = 1 x 2 x 3 x 4 x 5 x 6 x 7 x 8 x 9
Let's look at a program which calculates the factorial of any number entered by the user, by method of recursion.
def main():
num = int(input("Please enter a non-negative integer.\n"))
fact = factorial(num)
print("The factorial of",num,"is",fact)
def factorial(num):
if num == 0:
return 1
else:
return num * factorial(num - 1)
main()
Recursion is also useful in an advanced topic called generators. To generate the series 1,2,1,3,1,2,1,4,1,2... we would need this code:
def crazy(min_):
yield min_
g=crazy(min_+1)
while True:
yield next(g)
yield min_
i=crazy(1)
to get the next element you would call next(i)
Intro to Object Oriented Programming in Python 3
Object Oriented Programming
[edit | edit source]- Up until now, the programming you have been doing has been procedural. However, a lot of programs today are Object Oriented. Knowing both types, and knowing the difference, is very important. Many important languages in computer science such as C++ and Java, often use OOP methods.
- Beginners, and non-programmers often find the concept of OOP confusing, and complicated. This is normal. Don't be put off if you struggle or do not understand. There are plenty of other resources you can use to help overcome any issues you may have, if this chapter does not help you.
- This chapter will be broken up into different lessons. Each lesson will explain OOP in a different way, just to make sure OOP is covered as thoroughly as possible, because IT IS VERY IMPORTANT. Before the lessons, there is an introduction which explains key concepts, terms, and other important areas of OOP, required to understand each lesson.
Introduction
[edit | edit source]Think of a procedure as a function. A function has a specific purpose. That purpose may be gathering input, performing mathematical calculations, displaying data, or manipulating data to, from, or in, a file. Typically, procedures use data which is separate from code for manipulation. This data is often passed between procedures. When a program becomes much larger and complex, this can cause problems. For example, you have designed a program which stores information about a product in variables. When a customer requests information on a product, these variables are passed to different functions for different purposes. Later on, as more data is stored on these products, you decide to store the information in a list or dictionary. In order for your program to function, you must now edit each function that accepted variables, to now accept and manipulate a list or dictionary. Imagine the time that would take for a program that was hundreds of megabytes, and hundreds of files in size! It would drive you insane! not to mention, errors in your code, are almost guaranteed, just because of the large volume of work and possibilities to make a typo or other error. This is less than optimal. Procedural programming is centered on procedures or functions. But, OOP is centered on creating Objects. Remember how a procedural program has separated data and code? Remember how that huge program was hundreds of files and would take FOREVER to edit? Well, think of an object as a sort of "combination" of those files and data into one "being". In a technical sense, an Object is an entity which contains data, AND procedures (code, functions, etc.).
Data inside an object is called a data attribute.
Functions, or procedures inside the object are called methods.
Think of data attributes as variables.
Think of methods as functions or procedures.
Let's look at a simple, everyday example. The light and light switch in your bedroom. The data attributes would be as follows.
- light_on (True or False)
- switch_position (Up or Down)
- electricity_flow (True or False)
The methods would be as follows.
- move_switch
- change_electricity_flow
The data attributes may or may not be visible. For example, you cannot directly see the electricity flowing to the light. You only know there is electricity, because the light is on. However, you can see the position of the switch (switch_position), and you can see if the light is on or off (light_on). Some methods are private. This means that you cannot directly change them. For example, unless you cut the wires in your light fixture (please don't do that, and for the sake of this example, assume that you don't know the wires exist), you cannot change the flow of electricity directly. You also cannot directly change if the light is on or off (and no, you can't unscrew the bulb! work with me here!). However, you can indirectly change these attributes by using the methods in the object. If you don't pay your bill, the change_electricity_flow
method will change the value of the electricity_flow
attribute to FALSE. If you flip the switch, the move_switch
method changes the value of the light_on
attribute.
By now you're probably thinking, "What does this have to do with Python?" or, "I understand, but how do I code an Object?" Well, we are almost to that point! One more concept must be explained before we can dive into code.
In Python, an object's data attributes and methods are specified by a class. Think of a class as a blueprint to an object. For example, your home - the object that you live in - you can also call it your pad, bungalow, crib, or whatever, was built based on a set of blueprints; these blueprints would be considered the class used to design your home, pad, crib, ahem, you get the idea.
Again, a class tells us how to make an object. In technical terms, and this is important here, a class defines the data attributes and methods inside an object.
To create a class, we code a class definition. A class definition is a group of statements which define an object's data attributes and methods.
Lesson One
Below is a Procedural program that performs simple math on a single number, entered by a user.
# Program by Mitchell Aikens
# No Copyright
# 2012
# Procedure 1
def main():
try:
# Get a number to maniuplate
num = float(input("Please enter a number to manipulate.\n"))
# Store the result of the value, after it has been manipulated
# by Procedure 2
addednum = addfive(num)
# Store the result of the value, after it has been manipulated
# by Procedure 3
multipliednum = multiply(addednum)
# Send the value to Procedure 4
display(multipliednum)
# Deal with exceptions from non-numeric user entry
except ValueError:
print("You must enter a valid number.\n")
# Reset the value of num, to clear non-numeric data.
num = 0
# Call main, again.
main()
# Procedure 2
def addfive(num):
return num + 5
# Procedure 3
def multiply(addednum):
return addednum * 2.452
# Procedure 4
def display(multi):
# Display the final value
print("The final value is ",multi)
# Call Procedure 1
main()
If we were to enter a value of "5", the output would be as shown below.
Please enter a number to manipulate. 5 The final value is 24.52
If we were to enter a value of "g", and then correct the input and enter a value of "8", the output would be as shown below.
Please enter a number to manipulate. g You must enter a valid number. Please enter a number to manipulate. 8 The final value is 31.875999999999998
Below, is a Class, and a program which uses that class. This Object Oriented Program does the same thing as the procedural program above. Let's cover some important OOP coding concepts before we dive into the Class and program.
To create a class, we use the class
keyword. After the keyword, you type the name you want to name your class. It is common practice that the name of your class is capitalized.
If I wanted to create a class named dirtysocks, the code would be:
class Dirtysocks
The Class is shown first. The program which uses the class is second.
# Filename: oopexample.py
# Mitchell Aikens
# No Copyright
# 2012
# OOP Demonstration - Class
class Numchange:
def __init__(self):
self.__number = 0
def addfive(self,num):
self.__number = num
return self.__number + 5
def multiply(self,added):
self.__added = added
return self.__added * 2.452
The program which uses the class above, is below.
# Filename: oopexampleprog.py
# Mitchell Aikens
# No Copyright
# 2012
# OOP Demonstration - Program
import oopexample
maths = oopexample.Numchange()
def main():
num = float(input("Please enter a number.\n"))
added = maths.addfive(num)
multip = maths.multiply(added)
print("The manipulated value is ",multip)
main()
After looking at that program, you are probably a bit lost. That's OK. Lets start off by dissecting the class. The class is named "Numchange" There are three methods to this class:
- __init__
- addfive
- multiply
These three methods each have a similar code.
def __init__(self):
def addfive(self,num):
def multiply(self,added):
Notice how each method has a parameter named "self". this parameter must be present in each method of the class. This parameter doesn't HAVE TO be called "self", but it is standard practice, which means you should probably stick with it. This parameter is required in each method because when a method executes, it has to know which object's attributes to operate on. Even though there is only one Object, we still need to make sure the interpreter knows that we want to use the data attributes in that class. So we play it safe...and use the "self" parameter.
Lets look at the first method.
def __init__(self):
Most Classes in python have an __init__
which executes automatically when an instance of a class is created in memory.(When we reference a class, an instance (or object)of that class is created). This method is commonly referred to as the initializer method. When the method executes, the "self" parameter is automatically assigned to the object. This method is called the initializer method because is "initializes" the data attributes.
Under the __init__ method, we set the value of the number
method to 0 initially.
We reference the object attribute using dot notation.
def __init__(self):
self.__number = 0
The self.__number = 0
line simply means ""the value of the attribute "number", in the object, is 0"".
Let's look at the next method.
def addfive(self,num):
self.__number = num
return self.__number + 5
This method is named "addfive. It accepts a parameter called "num", from the program using the class. The method then assigns the value of that parameter to the "number" attribute inside the object. The method then returns the value of "number", with 5 added to it, to the statement which called the method.
Let's look at the third method.
def multiply(self,added):
self.__added = added
return self.__added * 2.453
This method is named "multiply". It accepts a parameter named "added". It assigns the value of the parameter to the "added" attribute, and returns the value of the "added" attribute multiplied by 2.452, to the statement which called the method.
Notice how the name of each method begins with two underscores? Let's explain that. Earlier we mentioned that an object operates on data attributes inside itself using methods. Ideally, these data attributes should be able to be manipulated ONLY BY METHODS IN THE OBJECT. It is possible to have outside code manipulate data attributes. To "hide" attributes, so only methods in the object can manipulate them, you use two underscores before the object name, as we have been demonstrating. Omitting those two underscores in the attribute name, allows for the possibility of manipulation from code outside the object.
Lets look at the program which uses the class we just dissected.
Notice the first line of non comment code.
import oopexample
This line of code imports the class, which we have saved in a separate file (module). Classes do not have to be in a separate file, but it is almost always the case, and thus is good practice to get used to importing the module now.
The next line:
maths = oopexample.Numchange()
This line creates an instance of the Numchange class, stored in the module named "oopexample", and stores the instance in the variable named "maths".
The syntax is:
modulename.Classname()
Next we define the main function.
Then, we get a number from the user.
The next line added = maths.addfive(num)
sends the value of the "num" variable to the method named "addfive", which is part of the class we stored an instance of in the variable named "maths", and stores the returned value in the variable named "added".
The next line multip = maths.multiply(added)
sends the value of the variable "added", to the method named "multiply", which is part of the class we stored an instance of in the variable named "maths", and stores the returned value in the variable named "multip".
The next line prints "The manipulated value is <value of multip>". The last line calls the main function which executes the steps outlined above.
Object Oriented Inheritance: Extending the Linkbot Class
[edit | edit source]Throughout all of our code examples, you've been seeing these lines of code over and over again:
...
myLinkbot = dongle.getLinkbot('ABCD')
...
myLinkbot.move() # etc etc
If you guessed that the myLinkbot
variable is actually a Python object, you are correct! The getLinkbot()
function returns an object of the Linkbot
class, which is defined inside of the barobo
package. An extremely powerful and important concept that object-oriented languages use is a concept called "inheritance". Sometimes, a programmer may want to create a new object that is very similar to or related to objects that have already been written.
For instance, the Linkbot
class contains a variety of functions that move the motors, beeps the buzzer, etc. However, it would be nice if I could write my own object for controlling a Linkbot-I that has 2 wheels and a caster attached. I could call the new object "LinkbotCar", and it could have member functions that make it drive forward, drive backward, turn, etc. At the same time, I still want the LinkbotCar
class to do everything that the original Linkbot
class did, such as changing LED colors and beeping the buzzer. Furthermore, it would be nice if the programmer didn't have to re-implement all of those methods that already exist inside the Linkbot
class.
The solution to this situation is to write our LinkbotCar
class such that it "extends", "inherits from", or "derives from" (all of these terms are more-or-less interchangeable) the original Linkbot
class. Lets start by a quick example. Here is a program that creates a new LinkbotCar
class based on the original Linkbot
class, makes a new function called driveForwardDistance
which drives the wheeled robot forward a certain distance, and then beeps the buzzer for half a second.
import barobo
import math # for math.pi
import time # for time.sleep()
class LinkbotCar(barobo.Linkbot): # 1
def driveForwardDistance(self, inches): # 2
wheelRadius = 3.5/2.0
degrees = (360.0/(2.0*math.pi*wheelRadius)) * inches
self.move(degrees, 0, -degrees) # 3
dongle = barobo.Dongle()
dongle.connect()
myLinkbotCar = dongle.getLinkbot('ABCD', LinkbotCar) # 4
myLinkbotCar.driveForwardDistance(5) # 5
myLinkbotCar.setBuzzerFrequency(440) # 6
time.sleep(0.5)
myLinkbotCar.setBuzzerFrequency(0)
- This line begins the process of making a new class called "LinkbotCar" based on the existing class "barobo.Linkbot".
- Here, we define a new function called "driveForwardDistance" for the LinkbotCar class. The first argument for member functions represents the object itself. Although you can name this first variable whatever you want, all Python programmers use the name "self" by convention. The second argument is the number of inches we want the robot to travel.
- This is the line that actually makes the Linkbot move. Notice that we use the
move()
function on theself
variable here. - Here, we gain control of the Linkbot through the dongle. Notice that the format of this function call is slightly different from what we've seen before. Not only is the requested Linkbot ID 'ABCD' specified, we also specify that we want a "LinkbotCar" object instead of a vanilla "Linkbot" object. Vanilla "Linkbot" objects do not have the new
driveForwardDistance
member function that we just defined. - At this line, we actually use our new function that we defined above. This makes the robot represented by the variable
myLinkbotCar
drive forward 5 inches. - Next, we make the Linkbot beep its buzzer. Notice that
setBuzzerFrequency()
was originally a function inside thebarobo.Linkbot
class. Because our object inherits from the originalbarobo.Linkbot
class, we can also call any member function that is in thebarobo.Linkbot
class.
While this style of programming may seem cumbersome at first, there are many reasons to motivate this type of organization. For instance,
- Why don't we just hard-code all of the Linkbot movements with
move()
andmoveJoint()
functions? This might be feasible for smaller programs, but imagine if you had to write a program where a wheeled Linkbot had to travel through a complex maze. If we need the Linkbot to accurately turn and travel more than 10 times, it is probably worth the time to write a function or class to make it easier on ourselves. In the long run, we would probably save time by writing the derived class. - Why is writing a class better than writing helper functions? One of the main benefits of writing a class is that someone else (or you) can inherit from your new class too. Lets say for instance you wrote a
LinkbotCar
class that moves the Linkbot like a car and your buddy wrote a class calledLinkbotMelody
that could make the Linkbot play complex songs using the buzzer. You could take the two classes and inherit from both of them to create a new class that can drive the Linkbot like a car and play melodies!
Exercises
[edit | edit source]Continue extending the LinkbotCar
class by adding functions turnLeft()
and turnRight()
.
class LinkbotCar(barobo.Linkbot):
def driveForwardDistance(self, inches):
wheelRadius = 3.5/2.0
degrees = (360.0/(2.0*math.pi*wheelRadius)) * inches
self.move(degrees, 0, -degrees)
def turnLeft(self):
self.move(-30, 0, -30)
def turnRight(self):
self.move(30, 0, 30)
Intro to Imported Libraries and other Functions
Intro to Imported Libraries and other Functions
[edit | edit source]- In this chapter, we will cover some functions from various imported libraries that are commonly asked about, or used in Python. This chapter is not required to fully understand basics of Python. This chapter is meant to show further capability of Python, which can be utilized with what you already know about the language.
math
[edit | edit source]- The math library has many functions that are useful for programs that need to perform mathematical operations, that cannot be accomplished using the built in operators.
- This section assumes you have math training up to and including Trigonometry.
The following list, shows all the functions in the math library:
- math.ceil
- math.copysign
- math.fabs
- math.factorial
- math.floor
- math.fmod (Not the most ideal for its purpose. Will not be explained.)
- math.frexp (Outside the scope of this tutorial. Will not be explained.)
- math.fsum
- math.isfinite
- math.isinf
- math.isnan
- math.ldexp
- math.modf (Outside the realm of this tutorial. Will not be explained.)
- math.trunc (Outside the realm of this tutorial. Will not be explained.)
- math.exp
- math.expm1
- math.log
- math.log1p
- math.log10
- math.pow
- math.sqrt
- math.acos
- math.asin
- math.atan
- math.atan2
- math.cos
- math.hypot
- math.sin
- math.tan
- math.degrees
- math.radians
- math.acosh
- math.asinh
- math.atanh
- math.cosh
- math.sinh
- math.tanh
- math.erf
- math.erfc
- math.gamma
- math.lgamma
- math.pi
- math.e
- Of course we wont cover every one of these functions. But we will cover a good chunk of them.
Lets start off by covering the two constants in the math library. math.pi
is the mathematical constant "π", to available precision on your computer. math.e
is the mathematical constant "e", to available precision on your computer.
Here is an example of both constants when entered in interactive mode in the Python shell.
>>>math.e 2.718281828459045 >>>math.pi 3.141592653589793
These constants can be stored in a variable just like any other number. Below is an example of such, and shows simple operations on those variables.
>>> conste = math.e >>> (conste + 5 / 2) * 2.21 11.532402840894488 >>> constpi = math.pi >>> (((7 /2.1) % constpi) * 2) 0.38348135948707984 >>>
Now, lets look at the functions. Lets start at the top of the list, and work our way down. Some of the functions will be skipped. At this point in the tutorial, you should be able to look at each of these examples to follow, and easily figure out what the example does. A simple sentence or two about what the function does will be provided.
Below is an example of every math
module function, and how it is used. (Excluding functions noted above as not to be explained)
>>> import math >>> math.ceil(4.5) ** Rounds the number up to the nearest non decimal number ** 5 >>> math.ceil(4.1) 5 >>> math.copysign(4, -.4) ** Returns the numberx
with the sign ofy
in the context of(x,y)
-4.0 >>> math.copysign(-4, 4) 4.0 >>> math.fabs(-44) ** Return the absolute value of the number ** 44.0 >>> math.factorial(4) ** Returns the factorial of a number ** 24 >>> math.floor(4.3) ** Rounds the number down to the nearest non decimal number. ** 4 >>> math.floor(4.99999) 4 >>> math.fsum([.1,.2,5,45.2,-.054,.4]) ** Returns the sum of all the numbers in the brackets. Not always precise ** 50.846000000000004 >>> math.isfinite(3) ** ReturnsTrue
if the value is infinity or NaN. ReturnsFalse
otherwise. ** True
The End
So here we are at the end, or maybe the beginning. This tutorial is on Wikibooks, so feel free to make improvements to it. If you want to learn more about Python, The Python Tutorial by Guido van Rossum has more topics that you can learn about. If you have been following this tutorial, you should be able to understand a fair amount of it. The Python Programming wikibook can be worth looking at, too. Here are few other books which cover Python 3:
- A Byte of Python by Swaroop C H
- Hands-on Python Tutorial by Dr. Andrew N. Harrington
- Subject:Python programming language lists other Wikibooks related to Python.
Hopefully this book covers everything you have needed to get started programming. Thanks to everyone who has sent me emails about it. I enjoyed reading them, even when I have not always been the best replier.
Happy programming, may it change your life and the world.
FAQ
- How do I make a GUI in Python?
- You can use either TKinter at http://www.python.org/topics/tkinter/ or PyQT4 at http://www.riverbankcomputing.co.uk/ or PyGobject at http://live.gnome.org/PyGObject For really simple graphics, you can use the turtle graphics mode
import turtle
- How do I make a game in Python?
- The best method is probably to use PyGame at http://pygame.org/
- How do I make an executable from a Python program?
- Short answer: Python is an interepreted language so that is impossible. Long answer is that something similar to an executable can be created by taking the Python interpreter and the file and joining them together and distributing that. For more on that problem see http://www.python.org/doc/faq/programming/#how-can-i-create-a-stand-alone-binary-from-a-python-script
- (IFAQ) Why do you use first person in this tutorial?
- Once upon a time in a different millennia, (1999 to be exact), an earlier version was written entirely by Josh Cogliati, and it was up on his webpage http://www.honors.montana.edu/~jjc/easytut and it was good. Then the server rupert, like all good things than have a beginning came to an end, and Josh moved it to Wikibooks, but the first person writing stuck. If someone really wants to change it, I will not revert it, but I don't see much point.
- My question is not answered.
- Ask on the discussion page or add it to this FAQ, or email one of the Authors.
For other FAQs, you may want to see the Python 2.6 version of this page Non-Programmer's Tutorial for Python 2.6/FAQ, or the Python FAQ.