# Numbers

## Introduction to Numbers

Numbers provide literal or scalar storage and direct access. Numbers are also an immutable type, […]

## Integers

Python has two types of integers. Plain integers are the generic vanilla (32-bit) integers recognized […]

## Floating Point Real Numbers

Floats in Python are implemented as C doubles, double precision floating point real numbers, values […]

## Complex Numbers

Basically a new branch of mathematics was created around this special number (or concept), and […]

## Standard Type Operators

The standard type operators discussed in the previous topics, all work as advertised for numeric […]

## Numeric Type (Arithmetic) Operators

Python supports unary operators for no change and negation, + and -, respectively; and binary […]

## Bit Operators (Integer-only)

Python integers may be manipulated bitwise and the standard bit operations are supported: inversion, bitwise […]

## Numeric Type Functions

Python currently supports different sets of built-in functions for numeric types. Some convert from one […]

## Operational

Python has five operational built-in functions for numeric types: abs(), coerce(), divmod(), pow(), and round(). […]

## divmod() in python

The divmod() built-in function combines division and modulus operations into a single function call that […]

## pow() in python

Both pow() and the double star ( ** ) operator perform exponentiation; however, there are […]

## round() function in python

The round() built-in function has a syntax of round (flt,ndig=0). It normally rounds a floating […]

## Integer-only Functions

In addition to the built-in functions for all numeric types, Python supports a few that […]