Python comes with nine core data types that cover almost everything you’ll need. Choosing the right one makes your code clearer, faster, and safer. This guide shows how each type works, when to use it, and what to watch out for. For a quick overview, also check our basics guide. Diagram of Python built-in data type categories and mutability. 1.

By learning Python data types explained through working with strings, you’ll get comfortable with: Text comes up everywhere, so strings are one of the most practical data types to master. Sometimes you’ll need to check what type of data you’re working with, or change it into something else. That’s where type checking and conversion come in.

In programming, data type is an important concept. Variables can store data of different types, and different types can do different things. Python has the following data types built-in by default, in these categories: You can get the data type of any object by using the type() function: Print the data type of the variable x:

If yes, numeric data types are used to represent any numerical values. There are three main numeric data types in Python: integers, floating-point numbers, and the complex numbers. In Python, integers are known as int.