内容简介

书名:Scaling Python with Dask: From Data Science to Machine Learning
出版社:O’Reilly Media
作者:Holden Karau, Mika Kimmins
出版年份:2023
电子书格式: pdf
简介:Unlock the power of parallel and distributed computing with Python and Dask. This comprehensive guide, “Scaling Python with Dask: From Data Science to Machine Learning,” by Holden Karau and Mika Kimmins, provides a practical approach to tackling big data challenges. Learn how to scale your Python data science and machine learning workflows efficiently using Dask’s powerful tools for parallel computing and distributed data processing. Master Dask’s capabilities for array, dataframe, and machine learning tasks, and optimize your code for performance and scalability. Whether you’re a data scientist, machine learning engineer, or software developer, this book is your essential resource for harnessing the potential of Dask.
ISBN:9781098119874, 10981

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