Python supports three types of numbers, including integers, floating-point numbers and complex numbers. Here's an overview of each: Let's understand python number and it's types in detail: Python int is the whole number, including negative numbers but not fractions. In Python, there is no limit to how long an integer value can be. Example:

Integers in Python are whole numbers, without a fractional part. They can be positive, negative, or zero. Python integers can be of unlimited size, which means you can work with very large numbers without any issues. Floating-point numbers are used to represent real numbers with a fractional part.

Python has some special numeric values that you can encounter, especially when working with scientific computations or handling edge cases. NaN (Not a Number): NaN stands for "Not a Number" and is used to represent undefined or unrepresentable values such as the result of dividing 0 by 0.

The Python standard library contains a number of built-in modules that you can use to manage numbers: Create some number variables (integers, floating point numbers and complex numbers). Experiment a little with what happens when you perform operations with them, even across types.