Fundamental types in Python
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Fundamental Python types
Python has a number of fundamental types. Please explore the code below to see what they are.
a = 1; b = 10000000000000000000000000
type(a), type(b)
c = 1.0
type(c)
The boolean type can contain the values True and False which always
start with capital letters:
d1 = True
d2 = False
type(d1)
Complex numbers are a fundamental type: note the use of j to specify the
imaginary part
e = 1.0 - 1.0j
type(e)
The None type
This type is very commonly used and also starts with a capital N.
f = None
All types have properties
The variable c defined above is an integer type. This type has the following
properties that are accessed with dot notation. The dot can be thought of as
meaning “get something from the thing on the left” (in this case c).
c.bit_length c.conjugate c.denominator c.imag c.numerator
c.real
In this case c.bit_length is actually a function which must be called using
round brackets ()to use (more on functions later).
c.real, c.bit_length()
Some properties are hidden
Although f is a None type, it still has hidden properties.
f.__sizeof__()
Many types have common properties
Python has been designed such that its types are as compatible as possible with each other. This is done by giving them common properties so that the same Python code is able to process different types.