bramblexu/pydata-notebook

This repository contains a partial Chinese translation of the book "Python for Data Analysis, Second Edition" (2017), written by Wes McKinney, who created the pandas data analysis library. The translation is presented as Jupyter Notebooks, which are interactive documents that mix explanatory text with runnable Python code, making them useful for reading and experimenting at the same time. The translator worked through selected chapters of the book and rendered them in Chinese for readers who find the English original difficult to follow. The chapters included cover the core tools used in data analysis with Python: NumPy for working with arrays and numerical computation, pandas for handling structured data tables, data cleaning and preparation techniques, time series analysis, advanced pandas features, and several worked examples using real datasets such as movie ratings and US baby name records. The translation is not word-for-word. The translator chose to paraphrase and adapt the content for clarity, and acknowledges that some errors or awkward passages may exist since this was a solo effort. The translator also notes that the full translation is kept partial out of respect for copyright, because the book's Chinese translation rights belong to a publisher and were not granted to this project. The original author of the book was contacted and confirmed there are no copyright concerns with this notebook-format study companion. All code samples in the notebooks are released under the MIT license. The project uses Python 3, updated from the first edition which used Python 2. This is primarily a study resource for Chinese-speaking learners who want to follow along with the book using interactive notebooks rather than static text.