# ujjwalkarn/DataSciencePython

common data analysis and machine learning tasks using python

Repository: https://github.com/ujjwalkarn/DataSciencePython
Canonical: https://ross.abutalabs.com/products/datasciencepython
Language: Python
License: MIT
License Family: permissive
Topics: data-science, python, python-tutorial, data-scientists
Last push: 2024-04-03T10:37:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3984, "days_push": 882, "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 5813, forks 1529 (observed 2026-08-28T04:09:29.972124+00:00)

## What it is
A curated list of Python tutorials and resources for data science, NLP, and machine learning. It aggregates links to courses, notebooks, articles, and reference material rather than providing runnable software.

## Use cases
- find python tutorials for data science
- learn machine learning with python
- curated list of NLP resources in python
- beginner resources for python data analysis
- free online courses for python data science

## When to choose
- you want a curated starting point for learning Python data science
- you need links to tutorials, courses, and notebooks in one place

## When to avoid
- you need runnable code or a library to install
- you want actively updated, current tutorials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: data-science, machine-learning, tutorials
- platform: python
- tags: curated-list, awesome-list, tutorials, nlp, deep-learning, natural-language-processing

## Member repositories
- ujjwalkarn/DataSciencePython (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:29.972124+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 2026-08-29T17:52:37.147934+00:00, confidence not recorded.
  - readme: https://github.com/ujjwalkarn/DataSciencePython (fetched 2026-08-28T04:09:29.972124+00:00, sha e4ed16e84a43)
- Data as of 2026-08-30T08:39:29.467469+00:00.