# s16h/py-must-watch

Must-watch videos about Python

Repository: https://github.com/s16h/py-must-watch
Canonical: https://ross.abutalabs.com/products/py-must-watch
Homepage: http://pymust.watch/
Language: HTML
License Family: other
Last push: 2021-10-27T19:04:28+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4436, "days_push": 1771, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3339, forks 260 (observed 2026-08-28T04:07:56.835194+00:00)

## What it is
A curated list of must-watch Python conference talks and videos, organized by year with links to videos and slides. It is a static HTML/README resource inspired by js-must-watch.

## Use cases
- find the best Python conference talks to watch
- learn Python from recommended videos
- discover classic talks like Understanding the Python GIL
- find Python design pattern presentations with slides
- build a Python learning playlist

## When to choose
- you want a curated, community-vetted list of high-quality Python talks
- you prefer learning from conference presentations with slides
- you want historical talks from PyCon, EuroPython, and Google going back to 2007

## When to avoid
- you need interactive tutorials or exercises rather than video links
- you want up-to-date content covering recent Python versions
- you need structured courses with progression tracking

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: programming-languages, tutorials, awesome-lists
- platform: python
- tags: curated-list, python-videos, conference-talks, awesome-list

## Member repositories
- s16h/py-must-watch (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:56.835194+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 2026-08-29T18:41:05.601920+00:00, confidence not recorded.
  - readme: https://github.com/s16h/py-must-watch (fetched 2026-08-28T04:07:56.835194+00:00, sha d17733cad958)
- Data as of 2026-08-30T08:39:29.467469+00:00.