pandas pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!

pandas aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open …

Tutorials You can learn more about pandas in the tutorials, and more about JupyterLab in the JupyterLab documentation. Books The book we recommend to learn pandas is Python for Data …

Feb 18, 2026 · pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

STUMPY is a powerful and scalable Python library for modern time series analysis. At its core, STUMPY efficiently computes something called a matrix profile, which can be used for a wide variety of time …

It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source …

Data structures for statistical computing in python, McKinney, Proceedings of the 9th Python in Science Conference, Volume 445, 2010.

Each of the subsections introduces a topic (such as “working with missing data”), and discusses how pandas approaches the problem, with many examples throughout.

Try pandas in your browser (experimental) Try our experimental JupyterLite live shell with pandas, powered by Pyodide. Please note it can take a while (>30 seconds) before the shell is initialized and …

It aims to be the fundamental high-level building block for Python’s practical, real-world data analysis. Additionally, it seeks to become the most powerful and flexible open source data …