guipsamora/pandas_exercises resource
Practice your pandas skills! observed · 2026-08-28
Health v2 · maintenance only
53/100
- Activity 47
- 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: 3704
- days_rel: n/a
- days_push: 320
- n_releases_24m: 0
Adoption not part of the score
13053 stars · 9033 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of hands-on exercises for practicing the pandas data analysis library in Python, organized by topic with instructions and solutions. Each lesson comes as Jupyter notebooks covering skills like filtering, grouping, merging, and time series.
Use cases
- practice pandas skills with exercises
- learn pandas through hands-on problems
- find pandas practice problems with solutions
- improve dataframe manipulation skills
- supplement a pandas tutorial with exercises
- prepare for data analysis interviews
When to choose
- you already know basic Python and want to practice pandas by doing
- you want topic-organized exercises with solutions to check against
- you prefer notebooks you can run and modify yourself
When to avoid
- you need a structured tutorial that teaches pandas concepts from scratch
- you are looking for a pandas library or tool rather than learning material
- you need exercises for libraries other than pandas
Facets
learning-resource · maturity active
data-science data-science education tutorials python pandas jupyter-notebooks exercises practice-problems dataframe
1 source
- readme: https://github.com/guipsamora/pandas_exercises · fetched 2026-08-28 · 462281102fd4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| guipsamora/pandas_exercises | main | 53 |
For agents
markdown · JSON · MCP: product_card(name="guipsamora/pandas_exercises")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem