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datawhalechina/joyful-pandas resource

pandas中文教程 observed · 2026-08-28

github.com/datawhalechina/joyful-pandas · homepage · Jupyter Notebook · NOASSERTION (other) 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 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2405
  • days_rel: n/a
  • days_push: 861
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

5183 stars · 1922 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

learning-resource · maturity stable

data-science developer-tools data-science tutorials education python cross-platform pandas tutorial chinese jupyter-notebook data-analysis datawhale

2 sources

Member repositories

RepositoryRoleHealth v2
datawhalechina/joyful-pandasmain32

For agents

markdown · JSON · MCP: product_card(name="datawhalechina/joyful-pandas")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem