英语电子书|Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
养成阅读英文电子书的习惯，让自己徜徉在英语书的海洋里！
书籍英文名：Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
书籍作者：Wes McKinney
书籍简介：Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
- Use the IPython shell and Jupyter notebook for exploratory computing
- Learn basic and advanced features in NumPy (Numerical Python)
- Get started with data analysis tools in the pandas library
- Use flexible tools to load, clean, transform, merge, and reshape data
- Create informative visualizations with matplotlib
- Apply the pandas groupby facility to slice, dice, and summarize datasets
- Analyze and manipulate regular and irregular time series data
- Learn how to solve real-world data analysis problems with thorough, detailed examples
购买提示：付款后，会在1~8小时内通过邮件发送ebook资源库链接，如有疑问请加微信dreamer901204，谢谢！
担心购买后，不发货？看看我们读者反馈👉 读者反馈
其他英文电子书推荐
英语电子书|Hacking Electronics: Learning Electronics with Arduino and Raspberry Pi
英语电子书|Fundamentals of Physics, 10th Edition Solution Manual
