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    Polars Cookbook. Over 70 practical recipes to transform, manipulate, and analyze your data using Python Polars

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Polars Cookbook. Over 70 practical recipes to transform, manipulate, and analyze your data using Python Polars Yuki Kakegawa - okładka ebooka

    Polars Cookbook. Over 70 practical recipes to transform, manipulate, and analyze your data using Python Polars Yuki Kakegawa - okładka ebooka

    Polars Cookbook. Over 70 practical recipes to transform, manipulate, and analyze your data using Python Polars Yuki Kakegawa - okładka audiobooka MP3

    Polars Cookbook. Over 70 practical recipes to transform, manipulate, and analyze your data using Python Polars Yuki Kakegawa - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    114
    Polars cookbook is a complete guide that not only helps you get started with Python Polars, but also gives you effective solutions to your day-to-day data problems.
    The book begins by teaching you the fundamentals of Polars including its key features, covering essential data operations such as filtering data, selecting columns, and summarising data. It then goes on to teach common data transformations such as aggregations, window functions, and string manipulations. You’ll also discover the ways to handle missing values, work with lists and arrays, and reshape your data. The book gets meaty when you come across chapters teaching you about time series analysis, working with common data sources, and testing and debugging in Polars.
    By the end of the book, you will have learned to apply various data transformations in Polars, understanding exactly how to solve common data problems. You unlock the potential of Polars by going through the book, while keeping the practical recipes you can refer to when needed. The book helps you be confident in using Polars to improve your data workflows.

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    O autorze ebooka

    Yuki Kakegawa is a data professional with a background in Computer Science. Yuki has worked in the data space for several years, most of which was spent in consulting, building data pipelines, data models, and visualizations. His clients varied in industries such as healthcare, education, insurance, private equity, and retail. Yuki has worked with various companies, including Microsoft and Stanford Health Care, to name a few.
    Today, Yuki works at Humana, providing consultations and analytics for his internal customers. Yuki also works as an independent consultant, helping small to midsize businesses implement data analytics solutions.
    Yuki has a passion for sharing his knowledge through social platforms such as LinkedIn and his tech blog.

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