justmarkham/pandas-videos resource
Jupyter notebook and datasets from the pandas video series 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: 3807
- days_rel: n/a
- days_push: 911
- n_releases_24m: 0
Adoption not part of the score
2251 stars · 1924 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 and datasets accompanying Kevin Markham's Python pandas video series on YouTube. It serves as a free learning resource for pandas, with an optional companion online course.
Use cases
- learn pandas from scratch with video tutorials
- follow along with pandas notebooks and datasets
- learn how to filter, sort, and group data in pandas
- understand pandas indexes and handling missing values
- practice data cleaning and analysis in Python
- find answers to common pandas questions
When to choose
- you are a beginner learning pandas for data analysis in Python
- you prefer video-based tutorials with runnable notebooks
- you want short, focused lessons on specific pandas topics
When to avoid
- you need production data pipeline code rather than educational material
- you want a maintained software library or tool
- you need advanced or up-to-date pandas features beyond the series scope
Facets
learning-resource · maturity stable
data-science data-science tutorials education python pandas jupyter-notebook video-series tutorial data-analysis data-cleaning
2 sources
- readme: https://github.com/justmarkham/pandas-videos · fetched 2026-08-28 · 5a3959cd37a9
- homepage: https://courses.dataschool.io/pandas-in-30-days · fetched 2026-08-29 · 2aa5c93b6913
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| justmarkham/pandas-videos | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="justmarkham/pandas-videos")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem