jvns/pandas-cookbook resource
Recipes for using Python's pandas library 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 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4638
- days_rel: n/a
- days_push: 679
- n_releases_24m: 0
Adoption not part of the score
7108 stars · 2343 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of Jupyter Notebook tutorials ('recipes') teaching Python's pandas library through real-world datasets like NYC 311 calls and Montréal bike path and weather data. It is designed for beginners who find the official pandas docs hard to get started with.
Use cases
- learn pandas for data analysis
- get started with pandas dataframes
- find pandas examples with real-world data
- learn groupby and aggregation in pandas
- learn to read CSV files with pandas
- practice exploratory data analysis in Jupyter
When to choose
- you are new to pandas and want concrete, runnable examples
- you prefer learning from notebooks with included datasets
- you want a quick tour of Jupyter plus pandas basics
When to avoid
- you need comprehensive pandas API reference documentation
- you need an actively developed tool rather than a tutorial
- you need advanced or up-to-date pandas features
Facets
learning-resource · maturity maintenance
data-science developer-tools data-science tutorials education python cross-platform pandas jupyter-notebook cookbook data-analysis tutorial
1 source
- readme: https://github.com/jvns/pandas-cookbook · fetched 2026-08-28 · 190297594270
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jvns/pandas-cookbook | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="jvns/pandas-cookbook")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem