brandon-rhodes/pycon-pandas-tutorial resource
PyCon 2015 Pandas tutorial materials observed · 2026-08-28
Health v2 · maintenance only
34/100
- Activity 3
- 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: 4194
- days_rel: n/a
- days_push: 582
- n_releases_24m: 0
Adoption not part of the score
1076 stars · 702 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A set of Jupyter Notebook tutorial materials for learning the pandas data-analysis library, originally taught at PyCon 2015. It includes scripts to download and convert IMDB datasets into CSVs used by the exercises.
Use cases
- learn pandas from scratch
- follow a pandas tutorial with real datasets
- practice data analysis in Jupyter notebooks
- teach a pandas workshop
- analyze IMDB movie data with pandas
- learn matplotlib plotting alongside pandas
When to choose
- you want a structured, video-backed introduction to pandas
- you prefer hands-on notebooks with real-world data
- you are an instructor looking for ready-made tutorial materials
When to avoid
- you need up-to-date pandas API coverage for the latest versions
- you want a reference manual rather than a guided tutorial
- you cannot download the legacy IMDB data files the build requires
Facets
learning-resource · maturity maintenance
data-science data-visualization developer-tools data-science education tutorials analytics python cross-platform cli pandas jupyter-notebook pycon-2015 tutorial-materials imdb-dataset matplotlib
1 source
- readme: https://github.com/brandon-rhodes/pycon-pandas-tutorial · fetched 2026-08-28 · 071c7d592510
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| brandon-rhodes/pycon-pandas-tutorial | main | 34 |
For agents
markdown · JSON · MCP: product_card(name="brandon-rhodes/pycon-pandas-tutorial")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem