Chapter 3. Numbers
That action is best which procures the greatest happiness for the greatest numbers.
Francis Hutcheson
In this chapter we begin by looking at Python’s simplest built-in data types:
-
Booleans (which have the value
True
orFalse
) -
Integers (whole numbers such as
42
and100000000
) -
Floats (numbers with decimal points such as
3.14159
, or sometimes exponents like1.0e8
, which means one times ten to the eighth power, or100000000.0
)
In a way, they’re like atoms. We use them individually in this chapter, and in later chapters you’ll see how to combine them into larger “molecules” like lists and dictionaries.
Each type has specific rules for its usage
and is handled differently by the computer.
I also show how to use literal values like 97
and 3.1416
,
and the variables that I mentioned in Chapter 2.
The code examples in this chapter are all valid Python,
but they’re snippets.
We’ll be using the Python interactive interpreter,
typing these snippets and seeing the results immediately.
Try running them yourself with the version of Python on your computer.
You’ll recognize these examples by the >>>
prompt.
Booleans
In Python, the only values for the boolean data type
are True
and False
.
Sometimes, you’ll use these directly; other times you’ll evaluate the “truthiness” of
other types from their values.
The special Python function bool()
can convert any Python data
type to a boolean.
Functions get their own chapter in Chapter 9, but for now you just need to know that ...
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