# CodeCutTech/Data-science

Collection of useful data science topics along with articles, videos, and code

Repository: https://github.com/CodeCutTech/Data-science
Canonical: https://ross.abutalabs.com/products/codecuttech-data-science
Homepage: https://codecut.ai/blog
Language: Jupyter Notebook
License Family: other
Topics: data-science, machine-learning, natural-language-processing, python, data-visualization, data-analysis, articles, artificial-intelligence, time-series, scraping
Archived: true
Last push: 2025-12-02T21:42:02+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 55, release rhythm 35, longevity 100
- inputs: {"age_days": 2238, "days_push": 274, "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 4220, forks 1060 (observed 2026-08-28T04:08:39.277156+00:00)

## What it is
A curated collection of data science articles, videos, and code examples from CodeCut, covering topics like MLOps, data management, testing, visualization, and time series. The repository has been relocated to khuyentran1401/codecut-blog and is maintained as an archive.

## Use cases
- learn data science through practical code examples
- find tutorials on mlops and project structure
- learn pandas and data visualization tips
- learn how to test data science code
- find articles on python tooling like uv and poetry
- learn web scraping and time series analysis

## When to choose
- you want curated, practical data science articles with accompanying code and videos
- you are a data scientist learning modern python tooling and mlops practices

## When to avoid
- you need a maintained software library or package
- you want the latest updates, since content moved to the codecut-blog repository

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, nlp, data-visualization, web-scraping, machine-learning
- domain: data-science, machine-learning, data-visualization, tutorials
- platform: python
- tags: jupyter-notebooks, articles, mlops, tutorials, curated-collection, relocated-repo, natural-language-processing

## Member repositories
- CodeCutTech/Data-science (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:39.277156+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 2026-08-29T18:22:24.512338+00:00, confidence not recorded.
  - readme: https://github.com/CodeCutTech/Data-science (fetched 2026-08-28T04:08:39.277156+00:00, sha dda1d50ce726)
  - homepage: https://codecut.ai/blog (fetched 2026-08-29T09:12:30.444434+00:00, sha d8ec0b959b91)
- Data as of 2026-08-30T08:39:29.467469+00:00.