# apachecn/pyda-2e-zh

:book:  [译] 利用 Python 进行数据分析 · 第 2 版

Repository: https://github.com/apachecn/pyda-2e-zh
Canonical: https://ross.abutalabs.com/products/pyda-2e-zh
Homepage: https://pyda.apachecn.org/
Language: CSS
License: NOASSERTION
License Family: other
Topics: python, data-analysis, numpy, pandas, pyda, book
Last push: 2021-01-02T16:11:20+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": 2870, "days_push": 2069, "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 1081, forks 333 (observed 2026-08-28T04:03:30.641862+00:00)

## What it is
A Chinese translation of 'Python for Data Analysis, 2nd Edition' by Wes McKinney, maintained by ApacheCN and readable online or self-hosted via Docker, pip, or npm. It covers data analysis with Python 3.6, pandas, NumPy, and brief introductions to StatsModels and scikit-learn.

## Use cases
- learn python data analysis in chinese
- read python for data analysis 2nd edition online
- learn pandas and numpy from a book
- self-host a translated data analysis book
- find chinese translation of pyda book

## When to choose
- you prefer reading the book in Chinese
- you want a free online version of the 2nd edition
- you want to self-host the documentation locally

## When to avoid
- you need the latest edition covering current pandas versions
- you want the original English text
- you need an interactive course rather than a book

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, data-science
- domain: data-science, tutorials, education
- platform: python, cli
- tags: chinese-translation, pandas, numpy, book-translation, apachecn, jupyter, web-server, docker

## Member repositories
- apachecn/pyda-2e-zh (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:30.641862+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 2026-08-30T06:51:20.265510+00:00, confidence not recorded.
  - readme: https://github.com/apachecn/pyda-2e-zh (fetched 2026-08-28T04:03:30.641862+00:00, sha b6d1bf47613b)
  - homepage: https://pyda.apachecn.org/ (fetched 2026-08-29T12:53:31.866491+00:00, sha 386397011db8)
  - site_page: https://www.apachecn.org/about (fetched 2026-08-29T12:53:31.869235+00:00, sha 211b768594dc)
- Data as of 2026-08-30T08:39:29.467469+00:00.