Scaling Python with Dask： From Data Science to Machine Learning（Holden Karau， Mika Kimmins）（O

  • 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
  • 下载地址（点击下载）：
    隐藏内容
    本内容登录后免费查看
声明：本站所有文章，如无特殊说明或标注，均为本站原创发布。任何个人或组织，在未征得本站同意时，禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益，可联系我们进行处理。