
Basic Data Types in Python: A Quick Exploration
In this tutorial, you'll learn about the basic data types that are built into Python, including numbers, strings, bytes, and Booleans.
Python Data Types - W3Schools
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:
Built-in Types — Python 3.14.3 documentation
3 days ago · There are three distinct numeric types: integers, floating-point numbers, and complex numbers. In addition, Booleans are a subtype of integers. Integers have unlimited precision.
Python Data Types - GeeksforGeeks
Oct 15, 2025 · Data types in Python are a way to classify data items. They represent the kind of value, which determines what operations can be performed on that data. Since everything is …
Python Data Types
In this tutorial, I’ll explain all the essential Python data types, providing clear examples so you can start building powerful applications immediately. Additionally, you will find numerous tutorials …
Python Datatypes
Learn various data types in Python, including numeric, boolean, sequence, text, mapping, set, binary, and NoneType. This comprehensive guide provides examples and constructor …
Python Data Types Explained - A Visual Guide for Beginners
Jul 20, 2025 · 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 …
Python Data Types • Python Land Tutorial
Jan 29, 2026 · Python provides us with several native data types to store and process data. These are essential building blocks that you need to know well. When thinking about a …
Data Types in Python (with Examples) - PySeek
Mar 25, 2025 · Numeric data types in Python include integers, floating-point numbers, and complex numbers. An integer represents whole numbers without a decimal point. It can be …
Python Data Types Explained: A Beginner’s Guide - DataCamp
Feb 7, 2025 · Data types in Python fall into several categories, each tailored to handle specific types of data and operations. Understanding these categories is a theoretical exercise and a …