# CNFeffery/DataScienceStudyNotes

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

Repository: https://github.com/CNFeffery/DataScienceStudyNotes
Canonical: https://ross.abutalabs.com/products/datasciencestudynotes
Language: Jupyter Notebook
License Family: other
Archived: true
Last push: 2024-12-30T08:03:32+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2554, "days_push": 611, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1389, forks 454 (observed 2026-08-28T04:04:35.438535+00:00)

## What it is
A companion repository for the Chinese blog series '数据科学学习手札' (Data Science Study Notes), storing code, data, and attachments for tutorials on pandas, geopandas, Dash, Jupyter, kepler.gl, and DuckDB. It serves as a learning resource rather than a reusable software package.

## Use cases
- learn pandas data analysis with worked examples
- learn geopandas for spatial data analysis
- learn to build web apps with Dash in Python
- find tutorial notebooks for DuckDB and kepler.gl
- download code and datasets accompanying data science blog posts

## When to choose
- you want hands-on Jupyter notebook examples for Python data science topics
- you follow the author's blog series and need the matching code and data
- you want Chinese-language tutorials on pandas, geopandas, or Dash

## When to avoid
- you need a production-ready library or tool to install and use
- you expect a maintained package with a license and releases
- you need comprehensive structured course material rather than blog post attachments

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-science, data-visualization, geospatial, developer-tools
- domain: data-science, data-visualization, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, pandas, geopandas, dash, duckdb, chinese-language, blog-companion, geospatial

## Member repositories
- CNFeffery/DataScienceStudyNotes (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:35.438535+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 2026-08-30T04:39:41.108872+00:00, confidence not recorded.
  - readme: https://github.com/CNFeffery/DataScienceStudyNotes (fetched 2026-08-28T04:04:35.438535+00:00, sha 1cd4cddd8f00)
- Data as of 2026-08-30T08:39:29.467469+00:00.