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Python 101 (part 2): If Wishes Were Pythons
Build conditional expressions, slice and dice strings, and accept user input from the command line.

| Tax Evasion |

The first - and simplest - object type you're likely to encounter is the number. I've already shown you a few examples of how Python treats numbers last time - but here's a quick refresher anyway:


Python 1.5.2 (#1, Aug 25 2000, 09:33:37)  [GCC 2.96 20000731 (experimental)] on
linux-i386
Copyright 1991-1995 Stichting Mathematisch Centrum, Amsterdam
>>> print 24+1
25
>>> print 12*10
120
>>> print 65/5
13
>>> print 15-9
6
>>>


There are four basic number types available in Python:

Integers: These are plain-vanilla numbers like 23, 5748, -947 and 3; they are also the most commonly-used type.

Floats: These are typically decimal numbers, although Python also allows you to use the scientific notation to represent them - for example, 3.67, 98.573 or 5.347e-17.

Long integers: These are integer values which are too large to be handled by the regular Integer type - for example, 45734893498L or 53267282982L. Note the uppercase "L" appended to the end of a long integer, which makes this type easier to identify.

Complex numbers: You may remember these from algebra class (I don't, but that's probably because I slept my way through college) - 2.5+0.3j, 4.1-03.j and so on. These numbers can be broken up into "real" and "imaginary" parts...the "imaginary" part is what you bank, while the "real" part is what the government takes away in taxes.


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