Preface

Polars is a lightning-fast DataFrame library for transforming and manipulating data. It is written in Rust from scratch and designed for efficient parallelism. Polars is available in Rust, Python, R, and Node.js. Polars has been gaining popularity in the world of data analysis, science, and engineering with its high performance and well-designed API.

However, as Polars is still new, there are not many resources available for you to learn how to use Polars to its full potential. The good news is that this book is designed to fill that gap.

This book contains about 60 recipes that teach you how to use various data transformation and manipulation techniques that you can apply across common data problems. You will unlock the power of Polars ...

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