# r0f1/datascience

Curated list of Python resources for data science.

Repository: https://github.com/r0f1/datascience
Canonical: https://ross.abutalabs.com/products/r0f1-datascience
License: CC0-1.0
License Family: permissive
Topics: awesome, awesome-list, data-science, datascience, python, deep-learning, data-analysis, data-visualization, data-mining, machine-learning, artificial-intelligence, deeplearning, statistics, bayes
Last push: 2026-08-11T21:22:52+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 35, longevity 100
- inputs: {"age_days": 2841, "days_push": 22, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4657, forks 714 (observed 2026-08-28T04:08:55.720876+00:00)

## What it is
A curated awesome-list of Python resources for data science, covering libraries, tutorials, code snippets, blog posts, and talks. It spans core tools like pandas and scikit-learn as well as general Python programming, visualization, and statistics resources.

## Use cases
- find python libraries for data analysis
- learn data science with python tutorials
- discover pandas alternatives and tricks
- curated list of machine learning resources
- best python tools for data visualization
- resources for statistics and bayesian analysis in python

## When to choose
- you want a curated starting point for the Python data science ecosystem
- you need links to tutorials, talks, and blog posts alongside libraries
- you are exploring tools for data analysis, ML, or visualization in Python

## When to avoid
- you need runnable software rather than a list of links
- you need resources for languages other than Python
- you need an exhaustive, automatically updated index rather than a hand-curated list

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, data-science, data-visualization, machine-learning
- domain: data-science, machine-learning, awesome-lists, tutorials
- platform: python
- tags: awesome-list, curated-resources, pandas, statistics, deep-learning

## Member repositories
- r0f1/datascience (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:55.720876+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 2026-08-29T18:19:28.102779+00:00, confidence not recorded.
  - readme: https://github.com/r0f1/datascience (fetched 2026-08-28T04:08:55.720876+00:00, sha 94b5f8adfb6c)
- Data as of 2026-08-30T08:39:29.467469+00:00.