tdpetrou/Learn-Pandas resource
Tutorials on how to use pandas effectively to do data analysis 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: 3206
- days_rel: n/a
- days_push: 1372
- n_releases_24m: 0
Adoption not part of the score
1114 stars · 320 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of Jupyter Notebook tutorials teaching how to use the pandas library effectively for data analysis in Python. It accompanies the author's book 'Master Data Analysis with Python'.
Use cases
- learn pandas for data analysis
- understand dataframe manipulation in python
- find pandas tutorial notebooks
- get started with data analysis in python
- improve pandas skills for filtering and aggregating data
When to choose
- you are learning pandas from scratch or want structured tutorial notebooks
- you prefer example-driven learning in Jupyter Notebooks
When to avoid
- you need a maintained software library or tool rather than tutorials
- you need up-to-date coverage of the latest pandas APIs
Facets
learning-resource · maturity maintenance
data-science data-science tutorials education python pandas data-analysis jupyter-notebook tutorials
1 source
- readme: https://github.com/tdpetrou/Learn-Pandas · fetched 2026-08-28 · 661afb5c7991
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tdpetrou/Learn-Pandas | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="tdpetrou/Learn-Pandas")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem