# xinliangnote/Go

【Go 从入门到实战】学习笔记，从零开始学 Go、Gin 框架，基本语法包括 26 个Demo，Gin 框架包括：Gin 自定义路由配置、Gin 使用 Logrus 进行日志记录、Gin 数据绑定和验证、Gin 自定义错误处理、Go gRPC Hello World... 持续更新中...

Repository: https://github.com/xinliangnote/Go
Canonical: https://ross.abutalabs.com/products/xinliangnote-go
Language: Go
License Family: other
Topics: go, golang, gin, gin-framework
Last push: 2024-04-07T06:20:23+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": 2606, "days_push": 878, "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 4951, forks 1264 (observed 2026-08-28T04:09:03.693738+00:00)

## What it is
A Chinese-language collection of Go learning notes covering basic syntax with 26 demos and the Gin web framework, including routing, logging with Logrus, data binding and validation, error handling, and a gRPC Hello World. It is a continuously updated tutorial repository rather than a software library.

## Use cases
- learn Go from scratch
- learn the Gin framework
- find Go basic syntax examples
- get started with gRPC in Go
- see Gin data binding and validation examples
- learn Go error handling patterns

## When to choose
- you are a beginner learning Go or Gin, especially with Chinese-language materials
- you want small runnable demo code for Go syntax and Gin features

## When to avoid
- you need a production-ready library or framework to import
- you need English-language documentation or an actively maintained project with a license

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, web-framework, rpc
- domain: tutorials, web-development, programming-languages
- platform: go, cross-platform
- tags: go-tutorial, gin-framework, grpc, learning-notes, chinese-language

## Member repositories
- xinliangnote/Go (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:03.693738+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 2026-08-29T18:17:52.028998+00:00, confidence not recorded.
  - readme: https://github.com/xinliangnote/Go (fetched 2026-08-28T04:09:03.693738+00:00, sha 5f2b266d5a29)
- Data as of 2026-08-30T08:39:29.467469+00:00.