KeithGalli/Pandas-Data-Science-Tasks resource
Set of real world data science tasks completed using the Python 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: 2442
- days_rel: n/a
- days_push: 1029
- n_releases_24m: 0
Adoption not part of the score
1011 stars · 2937 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 solving real-world data science tasks with Python's Pandas and Matplotlib libraries, accompanying a YouTube tutorial. It walks through cleaning and analyzing 12 months of electronics store sales data to answer business questions.
Use cases
- learn pandas for data analysis
- practice real world data science tasks
- learn data cleaning with pandas
- analyze sales data with python
- learn groupby and aggregation in pandas
- learn matplotlib charting
- follow along with a pandas tutorial video
When to choose
- you are learning Pandas and want hands-on examples with real data
- you want to see a complete data cleaning and exploration workflow
- you prefer learning via video plus accompanying code
When to avoid
- you need a production-ready data analysis library or tool
- you want maintained, licensed code for reuse in projects
- you need advanced or up-to-date pandas practices
Facets
learning-resource · maturity maintenance
data-science data-visualization etl data-science education tutorials analytics python cross-platform pandas jupyter-notebook matplotlib tutorial data-cleaning sales-analysis
1 source
- readme: https://github.com/KeithGalli/Pandas-Data-Science-Tasks · fetched 2026-08-28 · ada2469cb655
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| KeithGalli/Pandas-Data-Science-Tasks | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="KeithGalli/Pandas-Data-Science-Tasks")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem