python_for_data_analysis_2nd_chinese_version

This repository contains a Chinese translation of the book "Python for Data Analysis, 2nd Edition," written by Wes McKinney, the creator of the pandas data library. The translation covers the second edition published in October 2017, which updated all code examples to Python 3.6 and brought the pandas and Anaconda references up to date compared to the first edition.

The book teaches readers how to work with data using Python, focusing on the pandas library for data manipulation, NumPy for numerical computing, and matplotlib for visualization. It also briefly covers StatsModels and scikit-learn, two additional libraries used for statistical modeling and machine learning.

The README notes that the third edition of the book has since been published, with further updates to pandas and Python versions. The translator also mentions a separate translation of a book about Polars, a newer data processing library written in the Rust programming language that has attracted attention for handling large datasets faster than pandas.

To use this translation, the README suggests downloading the accompanying code from the original book's GitHub repository, installing Anaconda (a Python distribution commonly used for data work), and opening the files in Jupyter notebook, which is a browser-based environment for running code alongside text and notes.

This repository is primarily aimed at Chinese-speaking readers who want to learn data analysis with Python using a translated version of the widely-read McKinney book.