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jakevdp/PythonDataScienceHandbook resource

Python Data Science Handbook: full text in Jupyter Notebooks observed · 2026-08-28

github.com/jakevdp/PythonDataScienceHandbook · homepage · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

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: 3675
  • days_rel: n/a
  • days_push: 798
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

49705 stars · 19092 forks observed · 2026-08-28

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

The full text of Jake VanderPlas's Python Data Science Handbook, freely available as Jupyter notebooks covering IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn. It can be read online, run locally, or executed via Google Colab or Binder.

Use cases

  • learn pandas for data manipulation
  • learn numpy array computing
  • learn matplotlib data visualization
  • learn scikit-learn machine learning basics
  • free python data science book with runnable notebooks
  • introduction to ipython and jupyter workflows

When to choose

  • you want a free, well-regarded introduction to the core Python data science stack
  • you prefer learning through executable Jupyter notebooks
  • you need a reference for NumPy, Pandas, Matplotlib, or Scikit-Learn fundamentals

When to avoid

  • you need up-to-date coverage of the latest library APIs (the book was written for Python 3.5-era versions)
  • you want advanced or specialized machine learning topics beyond the fundamentals
  • you need a formal course with exercises and grading

Facets

learning-resource · maturity maintenance

data-science data-visualization machine-learning nlp data-science tutorials education data-visualization machine-learning python cross-platform jupyter-notebooks numpy pandas matplotlib scikit-learn ipython free-book oreilly web

2 sources

Member repositories

RepositoryRoleHealth v2
jakevdp/PythonDataScienceHandbookmain32

For agents

markdown · JSON · MCP: product_card(name="jakevdp/PythonDataScienceHandbook")

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