Numbers

Introduction to Number Data Types

In Python programming, numbers are one of the most fundamental data types you'll use every day. Think of numbers as basic ingredients in cooking. Without good basic ingredients, the dish you create won't be perfect. Similarly with programming, without understanding numbers well, the programs you create will be difficult to develop.

Python is very flexible in handling numbers. When you type numbers in the Python shell, Python immediately recognizes and displays them back. Let's see how Python works with numbers.

basic_numbers.py

>>> 44>>> 4.4.0>>> 0.300.3>>> 0.00009999.99e-05>>> 2. + 1j(2+1j)

From the example above, you can see Python automatically recognizes various number formats. When you type $4$ , Python knows it's an integer. When you type $4.$ with a dot at the end, Python converts it to a decimal number $4.0$ .

Category	Type	Examples	Description
Integer	`int`	$-2, -1, 0, 1, 2$ and $+1, +2, +3$	Whole numbers, can use underscore for clarity
Floating-Point	`float`	$-1.2, 3.85, +7.01$ and $-.21, .01, 2.$	Decimal numbers, supports scientific notation with $e$ or
Complex	`complex`	$2 + 3j$ and $4.5 - 2.1j$	Complex numbers with $j$ as imaginary unit

Numbers

Introduction to Number Data Types

Types of Number Data

Integer

Float

Complex

The type Function for Checking Data Types

Constructors for Creating Number Objects

Constructor float

Constructor int

Constructor complex

Number Data Types Summary Table