Python for Data Analysis, 2nd Edition第二版的更新到3.6下载

weixin_39820780 2019-09-28 06:30:20

国外出的最新版的，高清版非影印的，希望大家可以喜欢
相关下载链接：//download.csdn.net/download/limeng988723/10196199?utm_source=bbsseo

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2017第二版主要更新： 1、所有代码，包括Python教程，都升级到了Python3.6（第一版用的是Python2.7） 2、更新了Python的安装介绍。这次改用Anaconda Python发行版，以及其他一些需要的Python包 3、使用了最新的2017版pandas 4、新增了一章，用来介绍pandas的高级应用工具，和其他一些有用的小贴士 5、简单介绍了如何使用statsmodels和scikit-learn

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

Programming Python, 2nd Edition 目录如下，需要下载的朋友不要错过哦~ Programming Python, 2nd Edition By Mark Lutz Publisher : O'Reilly Pub Date : March 2001 ISBN : 0-596-00085-5 Pages : 1256 Copyright Foreword Preface "And Now for Something Completely Different . . . Again" Signs of the Python Times Why This Edition? Major Changes in This Edition Using the Examples and Demos Conventions Used in This Book Where to Look for Updates Contacting O'Reilly Acknowledgments Chapter 1. Introducing Python Section 1.1. "And Now for Something Completely Different" Section 1.2. The Life of Python Section 1.3. The Compulsory Features List Section 1.4. What's Python Good For? Section 1.5. What's Python Not Good For? Part I: System Interfaces Chapter 2. System Tools Section 2.1. "The os.path to Knowledge" Section 2.2. Why Python Here? Section 2.3. System Scripting Overview Section 2.4. The sys Module Section 2.5. The os Module Section 2.6. Script Execution Context Section 2.7. Current Working Directory Section 2.8. Command-Line Arguments Section 2.9. Shell Environment Variables Section 2.10. Standard Streams Section 2.11. File Tools Section 2.12. Directory Tools Chapter 3. Parallel System Tools Section 3.1. "Telling the Monkeys What to Do" Section 3.2. Forking Processes Section 3.3. Threads Section 3.4. Program Exits Section 3.5. Interprocess Communication Section 3.6. Pipes Section 3.7. Signals Section 3.8. Launching Programs on Windows Section 3.9. Other System Tools Chapter 4. Larger System Examples I Section 4.1. "Splits and Joins and Alien Invasions"

Python for Data Analysis第二版【中文版】-第一章

利用Python进行数据分析 2017 第二版 (Python for Data Analysis, 2nd Edition)中文翻译笔记这本书的英文版github仓库：pydata-book作者Wes McKinney是pandas的创作者，所以书中关于pandas的讲解也是最实用的部分。我也直接联系过了Wes本人，这个笔记不会有任何版权问题，当然，也不会用于任何商业用途。这本书自2013年第一...

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