Book:Non-Programmer's Tutorial for Python 3
Non-Programmer's Tutorial for Python 3
Josh Cogliati
Contributors: Mitchell Aikens, Kiah Morante, Elizabeth Cogliati, James A. Brown, Joe Oppegaard, Benjamin Hell
Referencing Python documentation
HandWiki allows referencing Python documentation. For example, if you need to give a link to an external Java documentation, such as string, use <pydoc>string</pydoc> syntax. By default, Python3 is assumed. Use the internal MediaWiki links to reference any term from 2,270,526 HandWiki articles.
First things first
So, you've never programmed before. As we go through this tutorial, I will attempt to teach you how to program. There really is only one way to learn to program. You must read code and write code (as computer programs are often called). I'm going to show you lots of code. You should type in code that I show you to see what happens. Play around with it and make changes. The worst that can happen is that it won't work. When I type in code it will be formatted like this:
# Python is easy to learn print("Hello, World!")
That's so it is easy to distinguish from the other text. If you're reading this on the Web, you'll notice the code is in color -- that's just to make it stand out, and to make the different parts of the code stand out from each other. The code you enter will probably not be colored, or the colors may be different, but it won't affect the code as long as you enter it the same way as it's printed 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.)
Note that this is a Python 3 tutorial, which means that most of the examples will not work in Python 2.7 and before. As well, all but a small number of the extra Python 2.7 libraries (third-party libraries) have been converted to Python 3. Most likely you will want to learn Python 3, but if you are learning Python for a specific package or set of modules that are only written in Python 2.7, you may want to consider learning Python 2.7. However, the differences between Python 2 and 3 are not particularly large, so if you learn one, you should be able to read programs written for the other without much difficulty.
There will often be a mixture of the text you type (which is shown in bold) and the text the program prints to the screen, which would look like this:
Halt! Who Goes there? Josh You may pass, Josh
(Some of the tutorial has not been converted to this format. Since this is a wiki, you can convert it when you find it.)
I will also introduce you to the terminology of programming - for example, that programming is often referred to as coding or hacking. This will not only help you understand what programmers are talking about, but also help the learning process.
Now, on to more important things. In order to program in Python you need the Python 3 software. If you don't already have the Python software go to www.python.org/download and get the proper version for your platform. Download it, read the instructions and get it installed.
Installing Python
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 totally sufficient for the beginning. As you get more into programming, you will probably switch to some other editor like nano, emacs, vi or another.
The Python download page is http://www.python.org/download. The most recent version is Python 3.7.3 (as of July 2019); 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:
Linux, BSD, and Unix users
You are probably lucky and Python is already installed on your machine. To test it type python3
on a command line. If you see something like what is shown in the following section, you are set.
IDLE may need to be installed separately, from its own package such as idle3 or as part of python-tools.
If you have to install Python, first try to use the operating system's package manager or go to the repository where your packages are available and get Python 3. Python 3.0 was released in December 2008; all distributions should have Python 3 available, so you may not need to compile it from scratch. Ubuntu and Fedora do have Python 3 binary packages available, but they are not yet the default, so they need to be installed specially.
Roughly, here are the steps to compile Python from source code in Unix (If these totally don't make sense, you may want to read another introduction to *nix, such as Introduction to Linux):
- Download the .tgz file (use your Web browser to get the gzipped tar file from https://www.python.org/ftp/python/3.7.4/Python-3.7.4.tgz)
- Uncompress the tar file (put in the correct path to where you downloaded it):
$ tar -xvzf ~/Download/Python-3.7.4.tgz ... list of files as they are uncompressed
- Change to the directory and tell the computer to compile and install the program
$ cd Python-3.7/ $ ./configure --prefix=$HOME/python3_install ... lots of output. Watch for error messages here ... $ make ... even more output. Hopefully no error messages ... $ make install
- Add Python 3 to your path. You can test it first by specifying the full path. You should add $HOME/python3_install/bin to your PATH bash variable.
$ ~/python3_install/bin/python3 Python 3.7.4 (... size and date information ...) [GCC 9.1.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>>
The above commands will install Python 3 to your home directory, which is probably what you want, but if you skip the --prefix=$HOME/python3_install, it will install it to /usr/local. If you want to use the IDLE graphical code editor, you need to make sure that the tk and tcl libraries, together with their development files, are installed on the system. You will get a warning during the make phase if these are not available.
Mac users
Starting from Mac OS X Tiger (10.4), versions of Python 2 shipped with the operating system by default, but you will need to also install Python 3 unless Mac OS 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 Mac OS installer from the Python download site.
Windows users
Download the appropriate Windows installer (the x86 MSI installer, if you do not have a 64-bit AMD or Intel chip). Start the installer by double-clicking it and follow the prompts.
See https://docs.python.org/3/using/windows.html#installing-python for more information.
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 or Windows 10: 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.
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 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:\Python37 C:\Python37\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:
#stops console from exiting end_prog = "" while end_prog != "q": end_prog = input("type q to quit")
Interactive Mode
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
Go into IDLE if you are not already. In the menu at the top, select File then New File. 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.
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
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 å, ɓ, ç, ð, é, õ, ü) in your file names—or, even better, do not use them at all when programming.
- Do not use module names for file names (such as print.py, math.py, list.py)
Using Python from the command line
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
.
Running Python Programs in *nix
If you are using Unix (such as Linux, Mac OS, 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
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
First of all, Python is very well documented. There might even be copies of these documents on your computer that 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 these are later), the Python 3 Library Reference is the place to look.
- 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
There are a lot of other Python users out there, and usually they are nice and willing to help you. This very active user community is organised mostly through mailing lists and a newsgroup:
- The tutor mailing list is for folks 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.
- LearnPython subreddit is another location where beginner level questions can be asked.
In order not to reinvent the wheel and discuss the same questions again and again, people will appreciate very much if you do a web search for a solution to your problem before contacting these lists!
What you should know
Once you've read and mastered this chapter, you should know how to edit programs in a text editor or IDLE, save them to the hard disk, and run them once they have been saved.
Printing
Programming tutorials since the beginning of time have started with a little program called "Hello, World!"[1] So here it is:
print("Hello, World!")
If you are using the command line to run programs then type it in with a text editor, save it as hello.py
and run it with python3 hello.py
Otherwise go into IDLE, create a new window, and create the program as in section Creating and Running Programs.
When this program is run here's what it prints:
Hello, World!
Now I'm not going to tell you this every time, but when I show you a program I recommend that you type it in and run it. I learn better when I type it in and you probably do too.
Now here is a more complicated program:
print("Jack and Jill went up a hill") print("to fetch a pail of water;") print("Jack fell down, and broke his crown,") print("and Jill came tumbling after.")
When you run this program it prints out:
Jack and Jill went up a hill to fetch a pail of water; Jack fell down, and broke his crown, and Jill came tumbling after.
When the computer runs this program it first sees the line:
print("Jack and Jill went up a hill")
so the computer prints:
Jack and Jill went up a hill
Then the computer goes down to the next line and sees:
print("to fetch a pail of water;")
So the computer prints to the screen:
to fetch a pail of water;
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.
Terminology
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
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.
Arithmetic expressions
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 arithmetic expression 2 + 2
, which is one kind of 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)
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
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
- Write a program that prints your full name and your birthday as separate strings.
- Write a program that shows the use of all 7 arithmetic operations.
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 arithmetic operations.
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)
Input and Variables
Now I feel it is time for a really complicated program. Here it is:
print("Halt!") user_input = input("Who goes there? ") print("You may pass,", user_input)
When I ran it, here is what my screen showed:
Halt! Who goes there? Josh You may pass, Josh
Note: After running the code by pressing F5, the python shell will only give output:
Halt! Who goes there?
You need to enter your name in the python shell, and then press enter for the rest of the output.
Of course when you run the program your screen will look different
because of the input()
statement. When you ran the program
you probably noticed (you did run the program, right?) how you had to
type in your name and then press Enter. Then the program printed out
some more text and also your name. This is an example of input. The
program reaches a certain point and then waits for the user to input
some data that the program can use later.
Of course, getting information from the user would be useless if we didn't have anywhere to put that information and this is where variables come in. In the previous program user_input
is a variable. Variables are like a box that can store some piece of data. Here is a program to show examples of variables:
a = 123.4 b23 = 'Spam' first_name = "Bill" b = 432 c = a + b print("a + b is",c) print("first_name is",first_name) print("Sorted Parts, After Midnight or",b23)
And here is the output:
a + b is 555.4 first_name is Bill Sorted Parts, After Midnight or Spam
Variables store data. The variables in the above program are a
, b23
, first_name
, b
, and c
. The two basic types are strings and numbers. Strings are a sequence of letters, numbers and other characters. In this example b23
and first_name
are variables that are storing strings. Spam
, Bill
, a + b is
, first_name is
, and Sorted Parts, After Midnight or
are the strings in this program. The characters are surrounded by "
or '
. The other type of variables are numbers. Remember that variables are used to store a value, they do not use quotation marks (" and '). If you want to use an actual value, you must use quotation marks.
value1 == Pim value2 == "Pim"
Both look the same, but 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
(continue this tutorial for more explanation about strings and about the ==
).
Assignment
Okay, so we have these boxes called variables and also data that can go into the variable. The computer will see a line like first_name = "Bill"
and it reads it as "Put the string Bill
into the box (or variable) first_name
". Later on it 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 and the result is stored in the variable on the left hand side (c
). This is called assignment, and you should not confuse the assignment equal sign (=
) with "equality" in a mathematical sense here (that's what ==
will be used for later).
Here is another example of variable usage:
a = 1 print(a) a = a + 1 print(a) a = a * 2 print(a)
And of course 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."
One more program before I end this chapter:
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 I got was:
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())
,int(input())
returns an integer, a number with no decimal point,
while text
created with input()
returns a string(can be writen as str(input())
, too). 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 tells what kind a
variable is. 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!"
|
Examples
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: ")) time=(distance/ rate) print("Time:", time)
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: ")) Perimeter=(2 * length + 2 * width) print("Area:", length * width) print("Perimeter:",Perimeter)
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: ")) celc_temp = (fahr_temp - 32.0) *( 5.0 / 9.0) print("Celsius temperature:", celc_temp)
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
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)
While loops
Presenting our first control structure. 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
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
Fibonacci sequence
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
Fibonacci-method3.py
a = 0 b = 1 count = 0 maxcount = 20 #once loop is started we stay in it while count < maxcount: count += 1 olda = a a = a + b b = olda print(olda,end=" ") print()
Output:
0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 1597 2584 4181
Enter password
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
Exercises
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. {{Solution|title=Solution|text=
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("")
If statement
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.
Examples
# 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
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 == 'Bryn': 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.')
What is debugging?
- "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. I once spent nearly a week 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?
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 example, let's say I have a program to compute the perimeter of a rectangle (the sum of the length of all the edges). I have the following test cases:
height | width | perimeter |
---|---|---|
3 | 4 | 14 |
2 | 3 | 10 |
4 | 4 | 16 |
2 | 2 | 8 |
5 | 1 | 12 |
I now run my program on all of the test cases and see if the program does what I expect it to do. If it doesn't then I need to find out what the computer is doing.
More commonly some of the test cases will work and some will not. If that is the case you should try and figure out what the working ones have in common. For example here is the output for a perimeter program (you get to see the code in a minute):
Height: 3 Width: 4 perimeter = 15
Height: 2 Width: 3 perimeter = 11
Height: 4 Width: 4 perimeter = 16
Height: 2 Width: 2 perimeter = 8
Height: 5 Width: 1 perimeter = 8
Notice that it didn't work for the first two inputs, it worked for the next two and it didn't work on the last one. Try and figure out what is in common with the working ones. Once you have some idea what the problem is finding the cause is easier. With your own programs you should try more test cases if you need them.
What does the program do?
The next thing to do is to look at the source code. One of the most important things to do while programming is reading source code. The primary way to do this is code walkthroughs.
A code walkthrough starts at the first line, and works its way down until the program is done. while
loops and if
statements mean that some lines may never be run and some lines are run many times. At each line you figure out what Python has done.
Lets start with the simple perimeter program. Don't type it in, you are going to read it, not run it. The source code is:
height = int(input("Height: ")) width = int(input("Width: ")) print("perimeter =", width + height + width + width)
- Question: What is the first line Python runs?
- Answer: The first line is always run first. In this case it is:
height = int(input("Height: "))
- What does that line do?
- Prints
Height:
, waits for the user to type a string in, and then converts the string to an integer variable height. - What is the next line that runs?
- In general, it is the next line down which is:
width = int(input("Width: "))
- What does that line do?
- Prints
Width:
, waits for the user to type a number in, and puts what the user types in the variable width. - What is the next line that runs?
- When the next line is not indented more or less than the current line, it is the line right afterwards, so it is:
print("perimeter = ", width + height + width + width)
(It may also run a function in the current line, but that's a future chapter.) - What does that line do?
- First it prints
perimeter =
, then it prints the sum of the values contained within the variables,width
andheight
, fromwidth + height + width + width
. - Does
width + height + width + width
calculate the perimeter properly? - Let's see, perimeter of a rectangle is the bottom (width) plus the left side (height) plus the top (width) plus the right side (huh?). The last item should be the right side's length, or the height.
- Do you understand why some of the times the perimeter was calculated "correctly"?
- It was calculated correctly when the width and the height were equal.
The next program we will do a code walkthrough for is a program that is supposed to print out 5 dots on the screen. However, this is what the program is outputting:
. . . .
And here is the program:
number = 5 while number > 1: print(".",end=" ") number = number - 1 print()
This program will be more complex to walkthrough since it now has indented portions (or control structures). Let us begin.
- What is the first line to be run?
- The first line of the file:
number = 5
- What does it do?
- Puts the number 5 in the variable number.
- What is the next line?
- The next line is:
while number > 1:
- What does it do?
- Well,
while
statements in general look at their expression, and if it is true they do the next indented block of code, otherwise they skip the next indented block of code. - So what does it do right now?
- If
number > 1
is true then the next two lines will be run. - So is
number > 1
? - The last value put into
number
was5
and5 > 1
so yes. - So what is the next line?
- Since the
while
was true the next line is:print(".",end=" ")
- What does that line do?
- Prints one dot and since the extra argument
end=" "
exists the next printed text will not be on a different screen line. - What is the next line?
number = number - 1
since that is following line and there are no indent changes.- What does it do?
- It calculates
number - 1
, which is the current value ofnumber
(or 5) subtracts 1 from it, and makes that the new value of number. So basically it changesnumber
's value from 5 to 4. - What is the next line?
- Well, the indent level decreases so we have to look at what type of control structure it is. It is a
while
loop, so we have to go back to thewhile
clause which iswhile number > 1:
- What does it do?
- It looks at the value of number, which is 4, and compares it to 1 and since
4 > 1
the while loop continues. - What is the next line?
- Since the while loop was true, the next line is:
print(".",end=" ")
- What does it do?
- It prints a second dot on the line, ending by a space.
- What is the next line?
- No indent change so it is:
number = number - 1
- And what does it do?
- It takes the current value of number (4), subtracts 1 from it, which gives it 3 and then finally makes 3 the new value of number.
- What is the next line?
- Since there is an indent change caused by the end of the while loop, the next line is:
while number > 1:
- What does it do?
- It compares the current value of number (3) to 1.
3 > 1
so the while loop continues. - What is the next line?
- Since the while loop condition was true the next line is:
print(".",end=" ")
- And it does what?
- A third dot is printed on the line.
- What is the next line?
- It is:
number = number - 1
- What does it do?
- It takes the current value of number (3) subtracts from it 1 and makes the 2 the new value of number.
- What is the next line?
- Back up to the start of the while loop:
while number > 1:
- What does it do?
- It compares the current value of number (2) to 1. Since
2 > 1
the while loop continues. - What is the next line?
- Since the while loop is continuing:
print(".",end=" ")
- What does it do?
- It discovers the meaning of life, the universe and everything. I'm joking. (I had to make sure you were awake.) The line prints a fourth dot on the screen.
- What is the next line?
- It's:
number = number - 1
- What does it do?
- Takes the current value of number (2) subtracts 1 and makes 1 the new value of number.
- What is the next line?
- Back up to the while loop:
while number > 1:
- What does the line do?
- It compares the current value of number (1) to 1. Since
1 > 1
is false (one is not greater than one), the while loop exits. - What is the next line?
- Since the while loop condition was false the next line is the line after the while loop exits, or:
print()
- What does that line do?
- Makes the screen go to the next line.
- Why doesn't the program print 5 dots?
- The loop exits 1 dot too soon.
- How can we fix that?
- Make the loop exit 1 dot later.
- And how do we do that?
- There are several ways. One way would be to change the while loop to:
while number > 0:
Another way would be to change the conditional to:number >= 1
There are a couple others.
How do I fix my program?
You need to figure out what the program is doing. You need to figure out what the program should do. Figure out what the difference between the two is. Debugging is a skill that has to be practiced to be learned. If you can't figure it out after an hour, take a break, talk to someone about the problem or contemplate the lint in your navel. Come back in a while and you will probably have new ideas about the problem. Good luck.
Creating Functions
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
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)
output:
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.
Examples
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: ") else: 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
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(L): return L * L 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": L = float(input("Length of square side: ")) print("The area of this square is", square(L)) 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()
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 result = mult(3, 2) print("3 * 2 = ", result)
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,
result = mult(3, 2)
is run. - What does this line do?
- This line will assign the return value of
mult(3, 2)
to the variableresult
. - 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
result = mult(3, 2)
which can now assign the value 6 to the variableresult
. - What happens next?
- The next line after the function,
print("3 * 2 = ", result)
is run. - And what does this do?
- It prints
3 * 2 =
and the value ofresult
which is 6. The complete line printed is3 * 2 = 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:
mult(3, 2) 3 + mult(3, 1) 3 + 3 + mult(3, 0) 3 + 3 + 0 3 + 3 6
Recursion
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
factorial.py
#defines a function that calculates the factorial def factorial(n): if n == 0: return 1 if n<0: return "Error, negative numbers do not have factorial values!!" return n * factorial(n - 1) print("2! =", factorial(2)) print("3! =", factorial(3)) print("4! =", factorial(4)) print("5! =", factorial(5)) print("-3! =", factorial(-3))
Output:
2! = 2 3! = 6 4! = 24 5! = 120 -3! = Error, negative values do not have factorial values!!
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
Variables with more than one value
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
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
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|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
Exercises
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: ")
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. which will then be the dominant number.
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.
Four 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. which will then be the dominant number.
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.
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
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.
Examples
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
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 + "!")
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 thats 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 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/3/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 cancelled it (or the output at least continues until Ctrl+C is pressed). The program just does an 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.
Exercises
Rewrite the high_low.py
program from section [[../Decisions#Examples|Decisions]] to use an random integer between 0 and 99 instead of the hard-coded 7. Use the Python documentation to find an appropriate module and function to do this.
Rewrite the high_low.py
program from section [[../Decisions#Examples|Decisions]] to use an random integer between 0 and 99 instead of the hard-coded 7. 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")
Other modules
Sometimes you want to use a python module that does not come with the Python installation. You can also import those, but you have to have them installed on your computer.
Creating your own module
When python reads the import command, it first checks files in your directory, then site-packages or pre installed modules. To make your own module, just create a .py file in the current directory and use the command:
import module
This will try to import the file module.py from your current directory and if not found, from site-packages and prepackaged modules. Changing module to the name of the .py file you created will import that file.
However, when it imports the module, it will basically start the file as a program, so any code on there will be run. You want to group all code into functions.
The __name__ == __main__ trick
In python, the variable __name__
will give you the current name of the program. If a module you import prints the __name__
variable, then it will print the name of the module. If the current file prints the __name__
variable, it will print __main__
, to show it is the main program.
If an if statement checks the name variable and runs code if the program is main, it can bypass the unintentional run problem created when a module is imported. Say for example you have a file, which runs some code. It also has a function you want to use in another program. However, you only want the function, not to run the code. By setting up the code below, it will only run the code if it is the file that was clicked on or started, not if it was imported.
if __name__ == '__main__': pass
In this instance, if the file is run but not imported, it will run the pass command. You can replace the pass command with the code you want to be run when not imported. Just remember to indent the code.
The pip module
The pip module is a module that comes with the python installation and acts as a module downloader/manager. You can download other modules from the internet with pip.
The pip module is not used in the python interpreter, but is run through the command line. To use it, open up your command line interpreter (for Windows it is Command Prompt, for Mac/Linux it is Terminal) and type in the following code:
py3 -m pip install module
or the alternate code
pip install module
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 inputed 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 an 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)
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
# 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
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.
An 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.items(): 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(k + "," + v + "\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
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.
Exercises
Now modify the grades program from section [[../Dictionaries|Dictionaries]] so that is uses file I/O to keep a record of the students.
Now modify the grades program from section [[../Dictionaries|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.items(): outputfile.write(k + ",") for x in v: outputfile.write(str(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()
Dealing with the imperfect
We use the "with" statement to open and close files.[2][3]
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
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.
Exercises
Update at least the phone numbers program (in section [[../Dictionaries|Dictionaries]]) so it doesn't crash if a user doesn't enter any data at the menu.
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: try: 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() except ValueError: print("That was not a number.")
Object Oriented Programming
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
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 uses CapWords convention.
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. Let's 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.
Let's 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
attribute 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.
Let's 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.
Intro to Imported Libraries and other Functions
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
- 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 won't cover every one of these functions. But we will cover a good chunk of them.
Let's 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.
>>> import math >>> 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, let's look at the functions. Let's 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 neither an infinity nor a 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.
- A Byte of Python by Swaroop C H
- DataCamp Interactive Python 3 Tutorial - Online
- Hands-on Python Tutorial by Dr. Andrew N. Harrington
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.
Acknowledgements
All example Python source code in this tutorial is granted to the public domain. Originally, the book was posted to Wikibooks. Therefore you may modify it and license it under any license you please. Since you are expected to learn programming, the Creative Commons Attribution-ShareAlike license would require you to keep all programs that are derived from the source code in this tutorial under that license. Since the Python source code is granted to the public domain, that requirement is waived.
The Non-Programmers' Tutorial For Python 3 is a tutorial designed to be an introduction to the Python programming language. This guide is for someone with no programming experience. If you have programmed in other languages I recommend using Python Tutorial for Programmers written by Guido van Rossum.
Thanks go to James A. Brown for writing most of the Windows install info. Thanks also to Elizabeth Cogliati for complaining enough :) about the original tutorial (that is almost unusable for a non-programmer), for proofreading, and for many ideas and comments on it. Thanks to Joe Oppegaard for writing almost all the exercises. Thanks to everyone I have missed.
- ↑ Here is a great list of the famous "Hello, world!" program in many programming languages. Just so you know how simple Python can be...
- ↑ "The 'with' statement"
- ↑ 'The Python "with" Statement by Example'