Elements of Python programming
Now that you have Python running, and have seen how it works interactively and with executable files, let's explore what we can do with simple useful programming. Some essential topics are
- Getting data into and out of a program
- Storing data as numbers and text
- Accessing data efficiently in lists, tuples, and dictionaries
- Performing logical and mathematical operations on data
- Controlling program flow (coming up in the next section)
Input and output
Python accepts data from the command line when it starts an application, locally stored files, files or other input from the web, through ports -- typically as serial or TCPIP data, or from attached instruments that communicate through specialized device drivers.
Input from a console and keyboard
To have a Python program accept data from a user at a console, include lines like these in Python 2.7
newtext = raw_input() print newtext
to take the raw input as text and print it. You can prompt for the input too
newtext = raw_input('Write what you like: ') print 'This is what I like: ', newtext
In Python 2.7 there is also a Python command "input()" which treats incoming text as Python code. With Python 3.0 this has changed, so some care is needed if you write for the new Python. In that case, rather than raw_input() you would use input(), and to get the effect of the old "input()", you would use eval(input()). You can see why using the newer Python 3.0 with older programs can raise some problems, though they are usually easy to fix.
The input is text, but suppose we want a number instead. If we know it's a number, then
newtext = raw_input('Input a number >> ') x = float(newtext) print 'My number was ', x
should do it. But, if you try this and input text that is not a number, the program will generate an error and respond with something like this
python input_number.py Input a number >> x Traceback (most recent call last): File "input_number.py", line 2, in <module> x = float(newtext) ValueError: could not convert string to float: x
How would we know if we have a number, given arbitrary text in the data, and avoid this error? One way is to use isdigit() --
newtext = raw_input('Input a number >> ') if newtext.isdigit(): x = float(newtext) print 'My number was ', x else: print 'That is not a number.'
In this you see that isdigit() tests whether newtext is a number. It returns a True or False which is used by the "if" statement to control what to do with the data. We will look at such flow control more later.
You may also want to read data by splitting a line of text into pieces, for example with something like this --
newtext = raw_input('Input the item name and quantity >>') print newtext.split()
When to this last one you input "eggs 12", newtext.split() will return ['eggs','12']. That is, it makes a list of the items that are on the line. You can now go through that list and look for the information you want, one entry at a time.
Input from a file and writing to files
It's more likely you will want to input data to a program from a file on your computer. Opening and reading a file in Python is very easy --
mydata = open('datafile.dat', 'r')
opens the file named datafile.dat for read-only, and assigns it to the object "mydata". You can read the data as text
mytext = mydata.read()
and the entire file is now contained in mytext. If you do this on the Python command line, and then enter "mytext", you'll see the context of your file (with end of line characters like \n too).
As with any text, we can split it into parts with
which generates a list of space-delimited data from the file, ignoring the end of line's.
When you are finished reading the file, you close it with
Similarly, to write a file you would open it for writing
mynewdata = open('newdata.dat', 'w')
write text to it
mynewdata.write('This is a line of text.\n')
and continue with other lines
mynewdata.write('1 2 3\n')
until you are finished
The close() is essential because without the computer's buffers may not flush the contents of the file to the disk.
Numbers, text, and data types
Lists, tuples, dictionaries, and statements
For examples of Python illustrating input, output, data types, lists, and dictionaries, see the examples section.
For the assigned homework to use these ideas, see the assignments section.