wesm/pydata-book resource
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media observed · 2026-08-28
Health v2 · maintenance only
53/100
- Activity 47
- 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 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 5177
- days_rel: n/a
- days_push: 320
- n_releases_24m: 0
Adoption not part of the score
24857 stars · 15680 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Companion materials and IPython notebooks for Wes McKinney's book 'Python for Data Analysis' (3rd Edition), published by O'Reilly Media. It provides runnable Jupyter notebooks covering Python basics, NumPy, pandas, data wrangling, visualization, and time series analysis.
Use cases
- learn pandas for data analysis
- follow along with Python for Data Analysis book exercises
- learn NumPy array basics and vectorized computation
- practice data cleaning and wrangling with notebooks
- learn time series analysis in Python
- set up a Jupyter environment for data analysis tutorials
When to choose
- you are reading the book and want the accompanying notebooks
- you want structured, example-driven learning of pandas and NumPy
- you need a ready-to-run Jupyter setup for data analysis practice
When to avoid
- you need production data pipeline code rather than educational material
- you want an exhaustive reference for advanced machine learning
- you need a maintained software library to depend on
Facets
learning-resource · maturity active
data-science data-visualization nlp data-science tutorials education python cross-platform pandas numpy jupyter-notebooks book-materials data-analysis
1 source
- readme: https://github.com/wesm/pydata-book · fetched 2026-08-28 · 6e8c2f78e455
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| wesm/pydata-book | main | 53 |
For agents
markdown · JSON · MCP: product_card(name="wesm/pydata-book")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem