Python Polars: The Definitive Guide: Transforming, Analyzing, and Visualizing Data with a Fast and Expressive Dataframe API
暫譯: Python Polars：權威指南：使用快速且表達力強的數據框 API 進行數據轉換、分析和可視化
Janssens, Jeroen, Nieuwdorp, Thijs
商品描述
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
商品描述(中文翻譯)
想要加速您的數據分析並處理超出記憶體大小的數據集嗎？Python Polars 提供了一個極速、多執行緒且優雅的 API，用於數據加載、操作和處理。在這本實用指南中，您將逐步了解 Polars 的各個方面，並學習如何使用真實世界的數據集解決實際案例。
來自阿姆斯特丹 Xomnia 的 Jeroen Janssens 和 Thijs Nieuwdorp 向您展示這個超快速的 DataFrame 函式庫如何完美適用於高效的數據整理、ETL 管道等多種用途。本書幫助您快速學習語法並理解 Polars 的基本概念。您不需要具備 pandas 或 Spark 的經驗，但如果您有，這本書將幫助您順利過渡。
有了這本權威指南，您將能夠：
- 以創紀錄的速度處理超出記憶體大小的數據集
- 應用 Polars 的即時、延遲和串流 API，並決定何時使用它們
- 從 pandas 或 Spark 平滑過渡到 Polars
- 將 Polars 整合到您現有的代碼基礎中
- 使用 Arrow 和 Parquet 高效地讀取和寫入數據
- 將複雜的 ETL 任務轉換為高效且優雅的查詢
