📮 Python Polars: The Definitive Guide (Final) by Jeroen Janssens (.ePUB)

Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading, manipulation, and processing. With this hands-on guide, you'll walk through every aspect of Polars and learn how to tackle practical use cases using real-world datasets. Jeroen Janssens and Thijs Nieuwdorp from Xomnia in Amsterdam show you how this superfast DataFrame library is perfect for efficient data wrangling, ETL pipelines, and so much more. This book helps you quickly learn the syntax and understand Polars' underlying concepts. You don't need to have experience with Pandas or Spark, but if you do, this book will help you make a smooth transition. Polars has quickly emerged as one of the most exciting innovations in the Python data ecosystem. With its blazingly-fast performance, expressive API, and ability to handle massive datasets, it’s become a powerful alternative to traditional tools like Pandas. Built with efficiency in mind, Polars leverages Rust for its backend to offer great speeds, especially when it comes to multi-core and GPU acceleration. Whether you’re working with large-scale data wrangling, complex transformations, or real-time analysis, Polars has shown that it can handle the toughest challenges with ease.

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