# datawhalechina/joyful-pandas

pandas中文教程

Repository: https://github.com/datawhalechina/joyful-pandas
Canonical: https://ross.abutalabs.com/products/joyful-pandas
Homepage: http://inter.joyfulpandas.datawhale.club/
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Topics: pandas
Last push: 2024-04-24T03:44:21+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2405, "days_push": 861, "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 5183, forks 1922 (observed 2026-08-28T04:09:11.836833+00:00)

## What it is
Joyful-Pandas is a comprehensive Chinese-language tutorial for the pandas data analysis library, available as Jupyter notebooks, PDF, and a printed book. It covers Python/NumPy foundations, core pandas operations (indexing, grouping, reshaping, joining), and special data types (missing, text, categorical, time series), plus visualization, feature engineering, and performance optimization.

## Use cases
- learn pandas from scratch in Chinese
- practice pandas with exercises and solutions
- understand pandas grouping and reshaping operations
- learn time series handling in pandas
- optimize pandas code performance
- prepare for data analysis work with pandas

## When to choose
- you want a structured, exercise-driven pandas tutorial in Chinese
- you need coverage from beginner Python/NumPy basics to advanced pandas topics
- you prefer learning with datasets and reference answers included

## When to avoid
- you need English-language documentation
- you want an interactive tool rather than a tutorial
- you need official API reference material

## Facets
- artifact type: learning-resource
- maturity: stable
- function: data-science, developer-tools
- domain: data-science, tutorials, education
- platform: python, cross-platform
- tags: pandas, tutorial, chinese, jupyter-notebook, data-analysis, datawhale

## Member repositories
- datawhalechina/joyful-pandas (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:11.836833+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 2026-08-29T18:01:47.334816+00:00, confidence not recorded.
  - readme: https://github.com/datawhalechina/joyful-pandas (fetched 2026-08-28T04:09:11.836833+00:00, sha 842eeed63d10)
  - homepage: http://inter.joyfulpandas.datawhale.club/ (fetched 2026-08-29T08:55:39.541269+00:00, sha cc6bee2d70c2)
- Data as of 2026-08-30T08:39:29.467469+00:00.