Python supports a variety of data types such as numeric (integers, floats, complex), string, boolean, list, tuple, and dictionary. Each data type has its own unique set of properties and methods.

It can be used to create just about any kind of software that can be written on a computer, including Windows-based applications. However, in recent years the open source community has developed ...

Instead, many of the newer tools for project management, code formatting, and now type checking, are written in Rust. This isn’t a swipe at Python; every language has its place.

Data types are the concept you should be familiar with. This means you should know the most commonly used data types in Python, the difference between them, when and how to use them.