Python Data Science Handbook pdf epub mobi txt 电子书下载 2025

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Jake VanderPlas，Python科学栈深度用户和开发者，尤其擅长Python科学计算和数据可视化，是altair等可视化程序库的创建人，并为Scikit-Learn、IPython等Python程序库做了大量贡献。现任美国华盛顿大学eScience学院物理科学研究院院长。

出版者:O'Reilly Media

作者:Jake VanderPlas

出品人:

页数:500

译者:

出版时间:2016-6-25

价格:USD 59.99

装帧:Paperback

isbn号码:9781491912058

丛书系列:

图书标签:

Python
数据分析
数据科学
机器学习
数据挖掘
统计学
pandas
计算机

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For many researchers, Python is a first-class tool mainly 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 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 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 to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

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原书提供的勘误网址：[http://bit.ly/python-data-sci-handbook] 可以打开的含勘误的网址：[http://shop.oreilly.com/product/0636920034919.do] 网络版网址：[https://jakevdp.github.io/PythonDataScienceHandbook/index.html] 说明：p.N(No.M)表示页码为N，也是文档中的第M...

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