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[资料] Python Data Science Handbook, 2nd Edition @2022

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发表于 2022-11-20 00:41:25 | 显示全部楼层 |阅读模式

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Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools.
Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.
With this handbook, you'll learn how:
  • IPython and Jupyter provide computational environments for scientists using Python
  • NumPy includes the ndarray for efficient storage and manipulation of dense data arrays
  • Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data
  • Matplotlib includes capabilities for a flexible range of data visualizations
  • Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms




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Python Data Science Handbook, 2nd Edition.pdf

1.85 MB, 下载次数: 141 , 下载积分: 资产 -2 信元, 下载支出 2 信元

发表于 2022-11-20 08:33:18 | 显示全部楼层
thanks for sharing
发表于 2022-11-20 09:27:42 | 显示全部楼层
thanks for sharing
发表于 2022-11-20 10:50:53 | 显示全部楼层
谢谢分享
发表于 2022-11-20 10:58:16 | 显示全部楼层
Thank you. Thank you. Thank you.
发表于 2022-11-20 22:42:43 | 显示全部楼层
kanakna
发表于 2022-11-21 13:38:46 | 显示全部楼层
谢谢分享
发表于 2022-11-27 14:28:31 | 显示全部楼层
thanks for sharing
发表于 2022-12-23 09:54:33 | 显示全部楼层
kankanxian
发表于 2022-12-23 12:44:04 | 显示全部楼层
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