# RainbowMango/GoExpertProgramming

《Go专家编程》Go语言快速入门，轻松进阶！

Repository: https://github.com/RainbowMango/GoExpertProgramming
Canonical: https://ross.abutalabs.com/products/goexpertprogramming
Language: Go
License Family: other
Topics: golang, go, expert, programming
Last push: 2021-04-23T03:28:29+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": 2855, "days_push": 1958, "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 1867, forks 304 (observed 2026-08-28T04:05:46.386997+00:00)

## What it is
An open-source Chinese-language book, 'Go Expert Programming', teaching Go from quick start to advanced topics. It covers data structure and standard library internals, toolchain usage (go test, Go Modules), and common programming pitfalls with real cases.

## Use cases
- learn go programming from basics to advanced
- understand go internals and data structure implementation
- study go standard library source code principles
- learn how go test and go modules work
- avoid common go programming pitfalls
- chinese-language go learning material

## When to choose
- you are a Go developer with 1-3 years of experience wanting to understand internals
- you prefer Chinese-language learning material
- you want to move from using Go to understanding how it works under the hood

## When to avoid
- you need an up-to-date reference covering the latest Go releases
- you need English-language material
- you want a hands-on project-based tutorial rather than conceptual explanations

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: programming-languages, tutorials, developer-tools
- platform: go, cross-platform
- tags: golang, book, chinese, internals, standard-library, toolchain

## Member repositories
- RainbowMango/GoExpertProgramming (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:46.386997+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 2026-08-30T03:15:22.984667+00:00, confidence not recorded.
  - readme: https://github.com/RainbowMango/GoExpertProgramming (fetched 2026-08-28T04:05:46.386997+00:00, sha eb597824f7c8)
- Data as of 2026-08-30T08:39:29.467469+00:00.