TomAugspurger/effective-pandas resource
Source code for my collection of articles on using pandas. 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 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3762
- days_rel: n/a
- days_push: 1358
- n_releases_24m: 0
Adoption not part of the score
1563 stars · 390 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of Jupyter notebooks accompanying Tom Augspurger's 'Effective Pandas' article series and Leanpub book on writing idiomatic pandas code. It covers topics like method chaining, indexes, performance, tidy data, visualization, and time series analysis.
Use cases
- learn to write idiomatic pandas code
- improve my pandas method chaining style
- understand pandas indexes better
- speed up slow pandas operations
- learn tidy data reshaping in pandas
- pandas time series tutorial
- out-of-core data processing with pandas
When to choose
- you are an intermediate pandas user wanting to write cleaner, more effective code
- you prefer learning through runnable notebooks alongside a free book
- you want guidance on performance, method chaining, and tidy data idioms
When to avoid
- you need a complete beginner's introduction to pandas or Python
- you need up-to-date coverage of the latest pandas APIs, as the material was last updated in 2022
- you need a reference manual rather than a tutorial series
Facets
learning-resource · maturity maintenance
data-science developer-tools data-science tutorials analytics python cross-platform pandas jupyter-notebooks tutorial-series idiomatic-python data-analysis ebook
8 sources
- readme: https://github.com/TomAugspurger/effective-pandas · fetched 2026-08-28 · 2f4199013ccf
- homepage: https://leanpub.com/effective-pandas · fetched 2026-08-29 · dd6719220ad4
- site_page: https://leanpub.com/about · fetched 2026-08-29 · a3ffdd2e2a46
- site_page: https://leanpub.com/authors · fetched 2026-08-29 · 8047e75e1d4b
- site_page: https://help.leanpub.com/reader-help/what-formats-do-leanpub-books-come-in · fetched 2026-08-29 · d570a1b8b3ed
- site_page: https://help.leanpub.com/en/articles/4405350-leanpub-author-faq · fetched 2026-08-29 · 6798dddde50d
- site_page: https://leanpub.com/help/api · fetched 2026-08-29 · a3f97ef691e5
- site_page: https://help.leanpub.com/en/articles/3788293-the-leanpub-faq · fetched 2026-08-29 · bab4d516dc40
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| TomAugspurger/effective-pandas | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="TomAugspurger/effective-pandas")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem