BrambleXu/pydata-notebook resource
利用Python进行数据分析 第二版 (2017) 中文翻译笔记 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3238
- days_rel: n/a
- days_push: 3039
- n_releases_24m: 0
Adoption not part of the score
4652 stars · 1607 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A set of Jupyter Notebook study notes translating 'Python for Data Analysis, 2nd Edition' (2017) by Wes McKinney into Chinese. It covers NumPy and pandas fundamentals with runnable code examples.
Use cases
- learn pandas and numpy in chinese
- study python for data analysis book with jupyter notebooks
- find chinese notes for numpy array basics
- get started with pandas dataframes
- learn vectorized computation with numpy
When to choose
- you prefer Chinese-language explanations of pandas and NumPy
- you want runnable Jupyter notebooks to follow along with the book
- you need a free introduction to NumPy and pandas fundamentals
When to avoid
- you need the complete book content, since only selected chapters remain due to copyright concerns
- you want up-to-date coverage of current pandas versions, as notes are based on 2017-era pandas
- you require an officially reviewed translation with guaranteed accuracy
Facets
learning-resource · maturity maintenance
data-science developer-tools data-science tutorials education python cross-platform jupyter-notebook pandas numpy chinese-translation python-for-data-analysis book-notes
1 source
- readme: https://github.com/BrambleXu/pydata-notebook · fetched 2026-08-28 · 9fe4e9d0e6c8
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| BrambleXu/pydata-notebook | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="BrambleXu/pydata-notebook")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem