Course Content

# Data Types in Python

1. Getting Familiar With Numbers in Python

4. Bring All the Topics Together

Data Types in Python

## Numerical Data Type in General

Before anything else, it's essential to familiarize ourselves with numeric data types, which are typically the ones we use the most.

Numeric data types typically include two primary built-in categories: **integers** (`int`

) and **floating-point** numbers (`float`

). To clarify, 'built-in' indicates that Python can handle them from the start, eliminating the need for us to define them in advance. So, you can simply use `int`

/ `float`

in Python without any additional specifications.

**integer** represents the whole numbers you commonly encounter in your daily life, such as `1`

, `2`

, `45`

, or `456566`

.

On the other hand, **floating-point** numbers include values like **pi** (`3.14159265359`

) and **Euler's number** (`2.71828`

).

Everything was clear?