awesome-pandas
github.com/tommyod/awesome-pandas ↗A collection of resources for pandas (Python) and related subjects.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me (1.3) :mortar_board: tutorials resources from awesome-pandas"
Installation instructions →What's inside
(1) :panda_face: pandas resources
- 1(1.3) :mortar_board: Tutorials
- 10 Minutes to pandas(1.3) :mortar_board: Tutorials
- amazon(1.4) :blue_book: Books / papers
- amazon(1.4) :blue_book: Books / papers
- Analyzing Census Data with Pandasrepo(1.1) :tv: Videos
Sergio Sánchez
- Bamboo Weekly(1.3) :mortar_board: Tutorials
weekly practice exercises using real-world data, with detailed solutions and downloadable notebooks
(3) Miscellaneous related resources
(2) Data analysis with Python resources
- amazon(2.4) :blue_book: Books / papers
- amazon(2.4) :blue_book: Books / papers
- Foundations of Numerical Computing(2.1) :tv: Videos
Scott Sanderson
- From Python to Numpy(2.4) :blue_book: Books / papers
- Numpy Cheat Sheet(2.2) :exclamation: Cheat-sheets
- Python For Data Science - Scikit-Learn(2.2) :exclamation: Cheat-sheets
Scikit-Learn
(4) Packages
- daffy
Decorator-first DataFrame contracts (columns/dtypes/constraints) at function boundaries. Supports Pandas/Polars/PyArrow/Modin.
- datatest
Tools for test driven data-wrangling and data validation (DataFrame, Series, Index, MultiIndex).
- pandas-vet
A plugin for Flake8 that checks pandas code.
- pandera
A light-weight, flexible, and expressive data validation library for dataframes.
Resources
- NumPy
Material related to
Showing a sample of 122 resources. View the full list on GitHub →