# BrambleXu/pydata-notebook

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

Repository: https://github.com/BrambleXu/pydata-notebook
Canonical: https://ross.abutalabs.com/products/pydata-notebook
Language: Jupyter Notebook
License Family: other
Topics: python-for-data-analysis, jupyter-notebook, chinese-translation, data-analysis, pandas
Last push: 2018-05-08T12:39:43+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3238, "days_push": 3039, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4652, forks 1607 (observed 2026-08-28T04:08:55.647214+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, developer-tools
- domain: data-science, tutorials, education
- platform: python, cross-platform
- tags: jupyter-notebook, pandas, numpy, chinese-translation, python-for-data-analysis, book-notes

## Member repositories
- BrambleXu/pydata-notebook (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:55.647214+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:19:29.804638+00:00, confidence not recorded.
  - readme: https://github.com/BrambleXu/pydata-notebook (fetched 2026-08-28T04:08:55.647214+00:00, sha 9fe4e9d0e6c8)
- Data as of 2026-08-30T08:39:29.467469+00:00.