Python Data Science Handbook: Essential Tools for Working with Data

Python Data Science Handbook: Essential Tools for Working with DataPython Data Science Handbook: Essential Tools for Working with Data
by 作者: Jake VanderPlas
ISBN-10 书号: 1491912057
ISBN-13 书号: 9781491912058
Edition 版本: 1
Publisher Finelybook 出版日期: 2016-12-16
Pages: 672


Book Description
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 PythonNumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in PythonPandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in PythonMatplotlib: includes capabilities for a flexible range of data visualizations in PythonScikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

下载地址 Download
打赏
未经允许不得转载:finelybook » Python Data Science Handbook: Essential Tools for Working with Data

相关推荐

  • 暂无文章

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫打赏

微信扫一扫打赏