# hantmac/Mastering_Go_ZH_CN

《Mastering GO》中文译本，《玩转 GO》。

Repository: https://github.com/hantmac/Mastering_Go_ZH_CN
Canonical: https://ross.abutalabs.com/products/mastering_go_zh_cn
Language: Go
License: Apache-2.0
License Family: permissive
Topics: golang
Last push: 2023-03-21T10:32:42+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2806, "days_push": 1261, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3448, forks 390 (observed 2026-08-28T04:08:05.214596+00:00)

## What it is
A Chinese translation of the book 'Mastering Go', covering advanced Go topics such as concurrency, garbage collection, networking, reflection, and Unix systems programming. It is available for online reading and as a downloadable PDF.

## Use cases
- learn advanced Go concepts in Chinese
- read Mastering Go book online
- download Mastering Go PDF for offline reading
- study Go garbage collection and internals
- deepen understanding of Go concurrency and networking

## When to choose
- you are a Go programmer who prefers Chinese-language material
- you want a free translated copy of Mastering Go
- you already know Go basics and want advanced topics

## When to avoid
- you need an English or up-to-date second edition text
- you are a complete beginner needing introductory Go material
- you need actively maintained documentation for the latest Go version

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, programming-languages, education
- platform: go
- tags: book-translation, chinese-translation, golang-book, mastering-go, ebook

## Member repositories
- hantmac/Mastering_Go_ZH_CN (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:05.214596+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 2026-08-29T18:37:35.803285+00:00, confidence not recorded.
  - readme: https://github.com/hantmac/Mastering_Go_ZH_CN (fetched 2026-08-28T04:08:05.214596+00:00, sha c9399b303b5b)
- Data as of 2026-08-30T08:39:29.467469+00:00.