# michaelliao/awesome-python3-webapp

小白的Python入门教程实战篇

Repository: https://github.com/michaelliao/awesome-python3-webapp
Canonical: https://ross.abutalabs.com/products/awesome-python3-webapp
Homepage: https://liaoxuefeng.com/books/python/
License: GPL-3.0
License Family: copyleft
Last push: 2024-09-14T02:08:41+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": 4123, "days_push": 719, "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 2879, forks 2766 (observed 2026-08-28T04:07:27.559732+00:00)

## What it is
A companion source-code repository for Liao Xuefeng's Python 3 beginner tutorial, containing the practical 'build a website + iOS app' project split into 16 daily checkpoints. It serves as reference code for learners following the tutorial.

## Use cases
- learn python by building a web app
- python3 beginner tutorial practice code
- follow along day-by-day web app project
- reference source for building a python website
- learn to build a web app plus ios app in python

## When to choose
- you are following Liao Xuefeng's Python 3 tutorial and want the matching project source
- you learn best by studying incremental, day-by-day example code

## When to avoid
- you need a production-ready web framework or template
- you want an actively developed application rather than tutorial reference code

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: web-framework, developer-tools
- domain: web-development, tutorials, education
- platform: python, cross-platform
- tags: python3, tutorial, beginner, webapp, ios-app, day-by-day-course

## Member repositories
- michaelliao/awesome-python3-webapp (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:27.559732+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 2026-08-30T07:35:34.391386+00:00, confidence not recorded.
  - readme: https://github.com/michaelliao/awesome-python3-webapp (fetched 2026-08-28T04:07:27.559732+00:00, sha 42209e550dd9)
  - homepage: https://liaoxuefeng.com/books/python/ (fetched 2026-08-29T09:51:23.252337+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.