# appbrewery/100-days-of-python

100 Days of Code - The Complete Python Pro Bootcamp

Repository: https://github.com/appbrewery/100-days-of-python
Canonical: https://ross.abutalabs.com/products/100-days-of-python
Homepage: https://100daysofpython.dev/
License Family: other
Last push: 2022-07-05T10:45:05+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": 2413, "days_push": 1520, "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 1759, forks 639 (observed 2026-08-28T04:05:32.460034+00:00)

## What it is
The companion repository for the '100 Days of Code - The Complete Python Pro Bootcamp' course by App Brewery (Angela Yu). The repo itself now just redirects learners to course resources hosted on Udemy lessons.

## Use cases
- learn python from scratch
- find a structured python learning path
- practice python with daily coding projects
- go from beginner to advanced python
- build python projects like games and web apps

## When to choose
- you are enrolled in the 100 Days of Python Udemy course and need the linked resources
- you want a structured, project-based Python curriculum

## When to avoid
- you want runnable source code or materials directly from the repository
- you are looking for a free standalone Python tutorial
- you need an actively maintained codebase

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages, tutorials
- platform: cross-platform, python
- tags: python-course, bootcamp, 100-days-of-code, udemy, beginner-friendly

## Member repositories
- appbrewery/100-days-of-python (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:32.460034+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 2026-08-30T03:27:16.286893+00:00, confidence not recorded.
  - readme: https://github.com/appbrewery/100-days-of-python (fetched 2026-08-28T04:05:32.460034+00:00, sha 453b63b54b14)
  - homepage: https://100daysofpython.dev/ (fetched 2026-08-29T11:05:57.204636+00:00, sha 7c9f7d87c644)
- Data as of 2026-08-30T08:39:29.467469+00:00.