Mastering Large Datasets: Parallelize and Distribute Your Python Code

Wolohan, J. T.

Mastering Large Datasets: Parallelize and Distribute Your Python Code

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商品描述

With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the toolz library.

Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

商品描述(中文翻譯)

以清晰、風格和效能為重點，作者J.T. Wolohan熟練地引導您實現一種功能影響的Python編碼方法。您將熟悉Python的功能內建函式，如functools運算子和itertools模組，以及toolz庫。

《大型數據集的精通》教您撰寫易於閱讀、易於擴展的Python代碼，能夠高效處理大量結構化和非結構化數據。通過這本全面指南的學習，您將對能夠將代碼推向筆記型電腦以外並提升您的數據科學職業生涯的工具和方法有牢固的掌握。

購買印刷版書籍將包含Manning Publications提供的PDF、Kindle和ePub格式的免費電子書。

作者簡介

J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online.

作者簡介(中文翻譯)

J.T. Wolohan 是 Booz Allen Hamilton 的首席數據科學家，也是印第安納大學布魯明頓分校的博士研究員，隸屬於資訊與圖書館科學系和資訊學院。他的專業工作主要集中在快速原型和可擴展的人工智慧上。他的研究則專注於對線上語言社交使用的計算分析。

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