# ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example

Repository: https://github.com/ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example
Canonical: https://ross.abutalabs.com/products/freecodecamp-pandas-real-life-example
Language: Jupyter Notebook
License Family: other
Last push: 2024-07-23T19:03:54+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2193, "days_push": 771, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1825, forks 5726 (observed 2026-08-28T04:05:41.262113+00:00)

## What it is
A collection of Jupyter Notebook course materials teaching data science with Python, originally created for the rmotr.com Data Science with Python course and associated with FreeCodeCamp. It provides hands-on Pandas lessons using real-life example datasets.

## Use cases
- learn pandas for data analysis
- practice data science with python notebooks
- freeCodeCamp pandas course exercises
- real-life pandas examples for beginners
- self-study data wrangling with pandas

## When to choose
- you want hands-on Jupyter notebook tutorials for pandas
- you are following the freeCodeCamp or rmotr data science curriculum
- you prefer learning through real-world datasets

## When to avoid
- you need production data pipeline code
- you want actively maintained library documentation rather than course material
- you need advanced or up-to-date pandas features

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science
- domain: data-science, tutorials, education
- platform: python
- tags: pandas, jupyter-notebook, tutorial, course-material, data-analysis

## Member repositories
- ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:41.262113+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:19:41.517793+00:00, confidence not recorded.
  - readme: https://github.com/ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example (fetched 2026-08-28T04:05:41.262113+00:00, sha f0ffe0fd8c79)
- Data as of 2026-08-30T08:39:29.467469+00:00.