Python Package Index (PyPI)
The Python Package Index, commonly known as PyPI, is the default Package Index for the Python programming language, hosted at pypi.org.
It’s a massive repository that hosts over 900,000 Python projects, including libraries and packages, allowing you to easily find and install them using tools like the pip package manager.
PyPI serves as a central hub for Python developers to share their projects and make them available to the community. By using PyPI, you can leverage a vast array of pre-built solutions to accelerate your development process, ensuring you don’t have to “reinvent the wheel” for common tasks.
When you want to use a library from PyPI, you can install it using the pip command in your terminal or command prompt. PyPI’s structure is designed to be user-friendly, making it easy to search for packages, read documentation, and check for updates. Whether you’re looking for web development frameworks, data analysis tools, or utilities for scientific computing, PyPI has something for every Python programmer.
Related Resources
Tutorial
PyPI Adds iOS & Android Support—and Other Python News for March 2025
PyPI now supports iOS and Android, Python 3.14’s new alpha debuts, and major project updates land in March’s Python news roundup.
For additional information on related topics, take a look at the following resources:
- Python Basics: Installing Packages With pip (Course)
- How to Publish an Open-Source Python Package to PyPI (Tutorial)
- Using Python's pip to Manage Your Projects' Dependencies (Tutorial)
- How to Evaluate the Quality of Python Packages (Tutorial)
- Install and Execute Python Applications Using pipx (Tutorial)
- uv vs pip: Managing Python Packages and Dependencies (Tutorial)
- Managing Python Dependencies (Course)
- Publishing Python Packages to PyPI (Course)
- How to Publish Your Own Python Package to PyPI (Course)
- How to Publish an Open-Source Python Package to PyPI (Quiz)
- A Beginner's Guide to pip (Course)
- Using Python's pip to Manage Your Projects' Dependencies (Quiz)
- Install and Execute Python Applications Using pipx (Quiz)
- uv vs pip: Python Packaging and Dependency Management (Course)
- uv vs pip: Managing Python Packages and Dependencies (Quiz)
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