Isbn: 9781098156084 - python polars: the definitive guide: transforming, analyzing, and visualizing data with a fast and expressive dataframe api (38 resultados)

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Paperback. Condición: Good. (Meredith Music Resource). This book reveals how anybody can learn to sing and how any voice teacher or choral conductor can get anybody to sing, and keep making breakthroughs in singing. With multi-sensory techniques to match and build learning strengths, this book is for any singer from the rank beginner including those thought to lack the ability to the experienced and mature singer. Whether for self-guided, teacher-guided, or conductor-guided learning situations, this unique collection of exercises wakes up the senses for amazing results. Click here for a YouTube video on Making More Sense of How to Sing.…

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Paperback or Softback. Condición: New. Python Polars: The Definitive Guide: Transforming, Analyzing, and Visualizing Data with a Fast and Expressive Dataframe API. Book.

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Paperback. Condición: New. 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. With this definitive guide at your side, you'll be able to: Process larger-than-memory datasets at record speed Apply the eager, lazy, and streaming APIs of Polars and decide when to use them Transition smoothly from pandas or Spark to Polars Integrate Polars into your existing code base Work with Arrow and Parquet to efficiently read and write data Translate complex ETL tasks into efficient and elegant queries.…

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Paperback. Condición: new. Paperback. 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. With this definitive guide at your side, you'll be able to: Process larger-than-memory datasets at record speed Apply the eager, lazy, and streaming APIs of Polars and decide when to use them Transition smoothly from pandas or Spark to Polars Integrate Polars into your existing code base Work with Arrow and Parquet to efficiently read and write data Translate complex ETL tasks into efficient and elegant queries 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condición: New. 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. With this definitive guide at your side, you'll be able to: Process larger-than-memory datasets at record speed Apply the eager, lazy, and streaming APIs of Polars and decide when to use them Transition smoothly from pandas or Spark to Polars Integrate Polars into your existing code base Work with Arrow and Parquet to efficiently read and write data Translate complex ETL tasks into efficient and elegant queries.…

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Paperback. Condición: Brand New. 400 pages. 9.19x7.00x9.19 inches. In Stock.

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Condición: New. 1st edition NO-PA16APR2015-KAP.

Taschenbuch. Condición: Neu. Neuware -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 Englisch.…

Taschenbuch. Condición: Neu. Neuware -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 Englisch.…

Taschenbuch. Condición: Neu. Neuware -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.…

Paperback. Condición: New. 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. With this definitive guide at your side, you'll be able to: Process larger-than-memory datasets at record speed Apply the eager, lazy, and streaming APIs of Polars and decide when to use them Transition smoothly from pandas or Spark to Polars Integrate Polars into your existing code base Work with Arrow and Parquet to efficiently read and write data Translate complex ETL tasks into efficient and elegant queries.…

Condición: New.