Python Numerical Datatypes: int, float, complex

In Python, numerical data types are a group of data types used to represent numerical values.

Python provides three main numerical data types:

1. int
2. float
3. complex

1. int

int refers integer, integer is a python datatype by using we can create any real numbers. Integer is represented by int. It can store numerical values.

for eg :

x=10
y=10

Interning

It is a simple technique by using which python engine allocates a small space/memory(cache: store a range of values).

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Integer supports interning, it saves the memory don’t waste memory for duplicate values.

Interning

2.float

It is a python numeric datatype by using which we can create any decimal values.

x=10.0
y=10.0

It can precise 16 decimal values 1.2345678901234567, float doesn’t support interning. It creates new new memory cells.

float doesn’t support interning

3. Complex

It is a python datatype by using which we can create a complex data. Complex datatype having two parts one is real part and another is imaginary part.

x=1+0j
y=1+0j

In real data is having both int & float values, it supports both. But in imaginary part nobody no exact value in it, that’s why it becomes more complex. Python allows j & J only as a imaginary Part with real value. It doesn’t support interning .