#python #sicp
The values we have used so far are instances of a small number of native data
types that are built into the Python language. Native data types have the
following properties:
- There are expressions that evaluate to values of native types, called
literals.
- There are built-in functions and operators to manipulate values of native
types.
The int class is the native data type used to represent integers. Integer
literals (sequences of adjacent numerals) evaluate to int values, and
mathematical operators manipulate these values.
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2.1 Introduction instances of the int class. These two values can
be treated similarly. For example, they can both be negated or added to another
integer. The built-in type function allows us to inspect the class of any
value.
>>> type(2)
<span>The values we have used so far are instances of a small number of native data
types that are built into the Python language. Native data types have the
following properties:
There are expressions that evaluate to values of native types, called
literals. There are built-in functions and operators to manipulate values of native
types.
The int class is the native data type used to represent integers. Integer
literals (sequences of adjacent numerals) evaluate to int values, and
mathematical operators manipulate these values.
>>> 12 + 3000000000000000000000000
3000000000000000000000012
Python includes three native numeric types: integers ( int ), real numbers
( float ), and complex numbers ( c Summary
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