【电子书下载】《Python数据科学手册》英文版PDF+配套源代码下载
作者: Jake VanderPlas
出版社: O'Reilly Media
副标题: Tools and Techniques for Developers
出版年: 2016-6-25
内容简介
For manyresearchers, Python is a first-class tool mainly because of its libraries forstoring, manipulating, and gaining insight from data. Several resources existfor individual pieces of this data science stack, but only with the Python DataScience Handbook do you get them all-IPython, NumPy, Pandas, Matplotlib,Scikit-Learn, and other related tools. Working scientists and data crunchersfamiliar with reading and writing Python code will find this comprehensive deskreference ideal for tackling day-to-day issues: manipulating, transforming, andcleaning data; visualizing different types of data; and using data to buildstatistical or machine learning models. Quite simply, this is the must-havereference for scientific computing in Python. With this handbook, you'll learnhow to use: IPython and Jupyter: provide computational environments for datascientists using Python NumPy: includes the ndarray for efficient storage andmanipulation of dense data arrays in Python Pandas: features the DataFrame forefficient storage and manipulation of labeled/columnar data in PythonMatplotlib: includes capabilities for a flexible range of data visualizationsin Python Scikit-Learn: for efficient and clean Python implementations of themost important and established machine learning algorithms
作者介绍
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。
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