Python Polars: The Definitive Guide: Transforming, Analyzing, and Visualizing Data with a Fast and Expressive DataFrame API 1st Edition 308323
Код товару: 308323Паперова книга
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ISBN978-1098156084
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Бренд
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Автор
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Рік2025
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МоваАнглійська
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ІлюстраціїКольорові, Чорно-білі
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 like data wrangling, exploratory data analysis, building pipelines, and more.
Whether you're a seasoned data professional or new to data science, you'll quickly master Polars' expressive API and its underlying concepts. You don't need to have experience with pandas, but if you do, this book will help you make a seamless transition. The many practical examples and real-world datasets are available on GitHub, so you can easily follow along.
- Process data from CSV, Parquet, spreadsheets, databases, and the cloud
- Get a solid understanding of Expressions, the building blocks of every query
- Handle complex data types, including text, time, and nested structures
- Use both eager and lazy APIs, and know when to use each
- Visualize your data with Altair, hvPlot, plotnine, and Great Tables
- Extend Polars with your own Python functions and Rust plugins
- Leverage GPU acceleration to boost performance even further
About the Author
Jeroen Janssens, PhD, is a Senior Developer Relations Engineer at Posit, PBC. His expertise lies in visualizing data, implementing machine learning models, and building solutions using Python, R, JavaScript, and Bash. He's passionate about open source and sharing knowledge. He's the author of Python Polars: The Definitive Guide (O'Reilly, 2025) and Data Science at the Command Line (O'Reilly, 2021). Jeroen holds a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University. He lives with his wife and two kids in Rotterdam, the Netherlands.
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Характеристики
- Бренд
- Автор
- КатегоріяПрограмування
- Рік2025
- Сторінок502
- Формат155х220 мм
- ОбкладинкаМ'яка
- Тип паперуОфсетний
- МоваАнглійська
- ІлюстраціїКольоровіЧорно-білі
Від видавця
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 like data wrangling, exploratory data analysis, building pipelines, and more.
Whether you're a seasoned data professional or new to data science, you'll quickly master Polars' expressive API and its underlying concepts. You don't need to have experience with pandas, but if you do, this book will help you make a seamless transition. The many practical examples and real-world datasets are available on GitHub, so you can easily follow along.
- Process data from CSV, Parquet, spreadsheets, databases, and the cloud
- Get a solid understanding of Expressions, the building blocks of every query
- Handle complex data types, including text, time, and nested structures
- Use both eager and lazy APIs, and know when to use each
- Visualize your data with Altair, hvPlot, plotnine, and Great Tables
- Extend Polars with your own Python functions and Rust plugins
- Leverage GPU acceleration to boost performance even further
About the Author
Jeroen Janssens, PhD, is a Senior Developer Relations Engineer at Posit, PBC. His expertise lies in visualizing data, implementing machine learning models, and building solutions using Python, R, JavaScript, and Bash. He's passionate about open source and sharing knowledge. He's the author of Python Polars: The Definitive Guide (O'Reilly, 2025) and Data Science at the Command Line (O'Reilly, 2021). Jeroen holds a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University. He lives with his wife and two kids in Rotterdam, the Netherlands.
Python Polars: The Definitive Guide: Transforming, Analyzing, and Visualizing Data with a Fast and Expressive DataFrame API 1st Edition
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