# yongxinz/gopher

Go 学习路线图，包括基础专栏，进阶专栏，源码阅读，实战开发，面试刷题，必读书单等一系列资源

Repository: https://github.com/yongxinz/gopher
Canonical: https://ross.abutalabs.com/products/gopher
Language: Go
License: MIT
License Family: permissive
Last push: 2023-08-14T13:31:03+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": 1878, "days_push": 1115, "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 1549, forks 218 (observed 2026-08-28T04:05:01.931282+00:00)

## What it is
A curated Go learning roadmap collecting tutorials, source-code reading guides, interview questions, and book lists. It is primarily a set of links to Chinese-language articles rather than runnable software.

## Use cases
- learn go from scratch with a structured roadmap
- find go interview questions and answers
- prepare for a golang developer job interview
- find recommended books for learning go
- understand go internals like slice growth and defer
- find go tutorials on goroutines and channels

## When to choose
- you want a curated, ordered path for learning Go
- you are preparing for Go interviews and want topic-by-topic questions
- you prefer Chinese-language explanations of Go concepts

## When to avoid
- you need runnable code, libraries, or tools rather than reading material
- you need up-to-date content covering the latest Go releases
- you cannot read Chinese

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: tutorials, programming-languages, developer-tools
- platform: go
- tags: go-roadmap, interview-preparation, curated-links, chinese-language, awesome-list

## Member repositories
- yongxinz/gopher (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:01.931282+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 2026-08-30T04:30:24.795492+00:00, confidence not recorded.
  - readme: https://github.com/yongxinz/gopher (fetched 2026-08-28T04:05:01.931282+00:00, sha 896e11c341ef)
- Data as of 2026-08-30T08:39:29.467469+00:00.
