# dabeaz-course/python-mastery

Advanced Python Mastery (course by @dabeaz)

Repository: https://github.com/dabeaz-course/python-mastery
Canonical: https://ross.abutalabs.com/products/python-mastery
Language: Python
License: CC-BY-SA-4.0
License Family: other
Topics: python, python-tutorial, tutorial
Last push: 2025-12-22T18:14:43+00:00

## Health v2 (maintenance only)
Score: 45/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 58, release rhythm 8, longevity 81
- inputs: {"age_days": 1144, "days_push": 254, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 13307, forks 2291 (observed 2026-08-28T04:11:03.095629+00:00)

## What it is
An exercise-driven advanced Python programming course by David Beazley, battle-tested over a decade of corporate training and released under Creative Commons. It targets intermediate Python programmers who want a deeper mental model of the language through hands-on exercises with provided solutions.

## Use cases
- learn advanced Python programming through exercises
- move beyond short scripts to sophisticated Python programs
- understand techniques used in popular Python libraries and frameworks
- self-study intermediate-to-advanced Python over 30-50 hours
- supplement corporate Python training with free material

## When to choose
- you already know Python basics and want to level up
- you prefer hands-on exercises with worked solutions
- you want a free, ad-free, self-paced course

## When to avoid
- you are a complete beginner to Python
- you need coverage of the latest Python 3.12+ features
- you prefer notebook-based or video-based learning

## Facets
- artifact type: learning-resource
- maturity: stable
- function: developer-tools
- domain: education, programming-languages, tutorials
- platform: python, cross-platform
- tags: python-course, advanced-python, exercise-driven, david-beazley, self-paced-learning

## Member repositories
- dabeaz-course/python-mastery (main) score 45

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:03.095629+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 2026-08-29T17:13:22.446766+00:00, confidence not recorded.
  - readme: https://github.com/dabeaz-course/python-mastery (fetched 2026-08-28T04:11:03.095629+00:00, sha 741559ee1f70)
- Data as of 2026-08-30T08:39:29.467469+00:00.