Welcome to the official website of the book Python Polars: The Definitive Guide by Jeroen Janssens and Thijs Nieuwdorp. The book is now available in both print and ebook formats at your favorite bookstore.

February 20, 2025 - Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data. In this hands-on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every... - Selection from Python Polars: The Definitive Guide [Book]

For someone like Hanna, this book offers a streamlined, more intuitive alternative to pandas, with the added benefit of being able to handle data at a larger scale without sacrificing speed or readability. Polars provides a more Pythonic and performant way to perform the types of analyses Hanna ...

April 29, 2025 - We’re proud to share that Jeroen Janssens, Senior Developer Relations Engineer at Posit, has co-authored a new book titled Python Polars: The Definitive Guide, together with Thijs Nieuwdorp.

Welcome to the official repository of the book Python Polars: The Definitive Guide by Jeroen Janssens and Thijs Nieuwdorp.

Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast, mu...

In this hands-on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every feature of Polars, showing you how to use it for real-world tasks like data wrangling, exploratory data analysis, building pipelines, and more.

February 20, 2025 - Thanks to this success, we’re fully convinced of the power of Polars. We wrote this book, Python Polars: The Definitive Guide, to share with you what we’ve learned and help you unlock the same potential in your data workflows.

Python Polars: The Definitive Guide With Thijs Nieuwdorp. Published by O’Reilly Media in April 2025. Foreword by Ritchie Vink. Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data.

But this time I won’t be alone. Thijs Nieuwdorp is joining me in this adventure that we’ve dubbed Python Polars: The Definitive Guide. We expect our upcoming O’Reilly title to be about 400 pages and to hit the shelves in Q3 2024.

Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data. In this hands—on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every feature of Polars, showing you how to use it for real—world ...

Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data. In this hands-on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every feature of Polars, showing you how to use it for real-world tasks ...

The Polars Cookbook is a comprehensive, hands-on guide to Python Polars, one of the first resources dedicated to this powerful data processing library. Written by Yuki Kakegawa, a seasoned data analytics consultant who has worked with industry leaders like Microsoft and Stanford Health Care, this book ...

March 12, 2026 - Design Optimized, Large-Scale Data Workflows Using Python Polars Book Description This book, Ultimate Python Polars for Data Analytics, is a hands-on guide to mastering this high-performance framework.

polars: 1.41.2 pyarrow: 24.0.0 pandas: 3.0.3 numpy: 2.4.6 fsspec: 2026.6.0 matplotlib: 3.11.0 seaborn: 0.13.2 statsmodels: 0.14.6 · All the data fetching code is included, but will eventually break as websites change or shut down. The smaller datasets have been checked in here for posterity. This book is free and open source, so please do open an issue if you notice a problem!

This books provides an overview of Polars, a shiny new data analysis for Python.

February 20, 2025 - Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data. In this hands-on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every feature of Polars, showing you how to use it for real-world tasks ...

February 20, 2025 - User-Defined Functions in PythonApplying a Function to ElementsApplying a Function to a SeriesApplying a Function to GroupsApplying a Function to an ExpressionApplying a Function to a DataFrame or LazyFrameRegistering Your Own NamespacePolars Plugins in RustPrerequisitesThe Anatomy of a Plugin ProjectThe PluginCompiling the PluginPerformance BenchmarkRegister ArgumentsUsing a Rust CrateUse Case: geoTakeaways · Polars’ ArchitectureArrowMultithreaded Computations and SIMD OperationsThe String Data Type in MemoryChunkedArrays in SeriesQuery OptimizationLazyFrame Scan-Level OptimizationsOther OptimizationsChecking Your Expressionsmeta Namespace Overviewmeta Namespace ExamplesProfiling PolarsTests in PolarsComparing DataFrames and SeriesCommon AntipatternsUsing Brackets for Column SelectionMisusing CollectUsing Python Code in your Polars QueriesTakeaways