# DjangoEx/awesome-python-resources

Awesome Python Resources

Repository: https://github.com/DjangoEx/awesome-python-resources
Canonical: https://ross.abutalabs.com/products/awesome-python-resources
License: CC0-1.0
License Family: permissive
Topics: django, python, algorithms, fastapi, clean-architecture, clean-code, system-design, flask, object-oriented-programming, postgresql, redis, testing, awesome, awesome-list, awesome-lists
Last push: 2025-12-10T19:55:02+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 56, release rhythm 35, longevity 100
- inputs: {"age_days": 1580, "days_push": 266, "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 1454, forks 169 (observed 2026-08-28T04:04:46.740418+00:00)

## What it is
A curated awesome-list of Python learning resources spanning computer science fields like algorithms, backend development, data science, machine learning, and system design. It organizes books, videos, and other materials by topic with community-recommended picks marked with a check symbol.

## Use cases
- find the best books to learn python algorithms and data structures
- curated python resources for becoming a backend developer
- learning roadmap for python machine learning and deep learning
- recommended resources for clean code and clean architecture in python
- where to start learning system design as a python developer
- python resources for testing, databases, and orm
- career path guides for python data science and devops

## When to choose
- you want a community-vetted, topic-organized index of python learning materials
- you are planning a python career path in backend, ML, or data science
- you need recommended books and videos for interviews or fundamentals

## When to avoid
- you need runnable code or a tool rather than links to external resources
- you want deep, up-to-date tutorials on one specific niche topic
- you need non-python learning resources

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: tutorials, awesome-lists, developer-tools, backend, data-science, machine-learning
- platform: python
- tags: awesome-list, python-resources, curated-links, learning-path, django, fastapi, flask, system-design, clean-architecture, python

## Member repositories
- DjangoEx/awesome-python-resources (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:46.740418+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 2026-08-30T04:35:40.850554+00:00, confidence not recorded.
  - readme: https://github.com/DjangoEx/awesome-python-resources (fetched 2026-08-28T04:04:46.740418+00:00, sha dfa3229ef5a8)
- Data as of 2026-08-30T08:39:29.467469+00:00.