# lidangzzz/How-to-run

立党零基础转码笔记

Repository: https://github.com/lidangzzz/How-to-run
Canonical: https://ross.abutalabs.com/products/how-to-run
Language: TypeScript
License: GPL-3.0
License Family: copyleft
Topics: computer-science, python
Last push: 2024-05-05T19:26:22+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": 1442, "days_push": 850, "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 5925, forks 356 (observed 2026-08-28T04:09:32.386264+00:00)

## What it is
A curated Chinese-language guide of courses and resources for people with zero programming background transitioning into software engineering careers. It links to recommended Python, data structures, frontend (React), backend (Java/Spring), database, and tooling learning materials.

## Use cases
- switch careers into software engineering from a non-technical background
- find a structured self-study path to learn programming
- pick which programming language and courses to start with
- learn frontend and backend development as a beginner
- find recommended resources for Git, IDEs, and databases

## When to choose
- you are a complete beginner seeking a curated learning roadmap
- you want vetted links to courses, docs, and tutorials for career switching
- you prefer a free, community-maintained curriculum over paid bootcamps

## When to avoid
- you need runnable software, a library, or a tool
- you are an experienced developer looking for advanced material
- you cannot read Chinese and need an English-language curriculum

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: education, programming-languages, web-development, tutorials
- platform: -
- tags: career-change, curriculum, bootcamp-alternative, self-study, awesome-lists, web-server

## Member repositories
- lidangzzz/How-to-run (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:32.386264+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 2026-08-29T17:50:49.567384+00:00, confidence not recorded.
  - readme: https://github.com/lidangzzz/How-to-run (fetched 2026-08-28T04:09:32.386264+00:00, sha 0d339bf1a661)
- Data as of 2026-08-30T08:39:29.467469+00:00.