Data Analysis with Python is a basic data analysis tutorial, which is an introductory textbook for most data analysts and has been upgraded to the second edition. This site collected the original code of the second edition of the textbook for Chinese translation and annotation, and made certain notes. Basically, you just need to look at the code to understand the book. This site believes that after looking at these codes, more than 90% of the data analysis problems can be solved.

The first edition of Data analysis with Python was published in 2012, at a time when open source python-based data analysis libraries (such as PANDAS) were still a fast new thing. In the second edition of this book, the authors have modified sections to explain incompatible changes, deprecations, and new features that have occurred over the past five years, and python3.6 is used. In addition, new content has been added to introduce tools that did not exist or were not mature in 2012. The author thinks this edition will be out of date in 4-5 years. \

This site collected the original code of the book for Chinese translation and annotation, and made certain notes.

Download at the end of the article.

Code notes directory

  • CHAPTER 1: Preliminaries
  • Notebooks of Python Language Basics, IPython and Jupyter Notebooks Notebooks of Python Language Basics, IPython and Jupyter Notebooks Notebooks of Python Language Basics, IPython and Jupyter Notebooks
  • Chapter 3: Built-in Data Structures, Functions, and Files
  • Chapter 4: NumPy Basics: Arrays and Vectorized Computation
  • Chapter 5: Getting Started with pandas
  • Chapter 6 Data Loading, Storage, and File Formats
  • Chapter 7: Data Cleaning and Preparation
  • Chapter 8: Data Wrangling: Join, Combine, and shape
  • Chapter 9: Plotting and Visualization
  • Chapter 10: Data Aggregation and Group Operations
  • Chapter 11: Time Series
  • Chapter 12: The Pandas
  • Chapter 13: Introduction to Modeling Libraries in Python
  • Chapter 14: Data Analysis Examples

Code screenshots

Summary and suggestions \

Data Analysis with Python is a basic data analysis tutorial, the second edition is more comprehensive, and it is a primer for most data analysts. This site collected the original code of the second edition of the textbook for Chinese translation and annotation, and made certain notes. Basically, you just need to look at the code to understand the book. This site believes that after looking at these codes, more than 90% of the data analysis problems can be solved.

Can not read a book, directly see the code and notes, this site provides the code and the original e-book download. \

Download link: pan.baidu.com/s/1tW8a8IXl…

Extraction code: 5QP1

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