- 新手学习 Go 语言该如何入门？ - 知乎
10分钟上手 Go 语言：从安装到编程实战！ 在如今的编程世界中，Go 语言因其高效、简洁和易学的特点，成为了越来越多开发者的首选语言。 无论是构建高性能的后端系统，还是处理并发任务，Go 都能轻松应对。
- 为什么要使用 Go 语言？Go 语言的优势在哪里？ - 知乎
跨平台编译，如果你写的Go代码不包含cgo，那么就可以做到window系统编译linux的应用，如何做到的呢？ Go引用了plan9的代码，这就是不依赖系统的信息。 内嵌C支持，前面说了作者是C的作者，所以Go里面也可以直接包含c代码，利用现有的丰富的C库。 2、Go适合用来
- 怎么学习 Golang？ - 知乎
W3Cshcool - Go 系列 W3Cschool 也是一个专业的编程入门学习及技术文档查询应用，提供包括 HTML， CSS， Javascript， jQuery， C， PHP， Java， Python， Sql，MySQL，Golang 等编程语言和开源技术的在线教程及使用手册，是类似国外w3schools的学习社区及菜鸟编程平台。 网站链接： w3cschool cn go m w3cschool cn appDownl (二维
- Online Go Forum
Online Go Discussions
- How to review your own game (offline vs. online) - General Go . . .
Just go through the moves again with the benefit of hindsight, and you’ll notice things you didn’t see during the game AI analysis or review with a stronger player is a bonus It’s still good to do a self-review first, then check your impressions against the AI’s suggestions 2 Likes xela January 27, 2025, 9:54pm 14 Shen0927:
- Introducing GoTV - OGS Announcements - Online Go Forum
Hey everyone, We’re excited to announce a new feature on OGS: GoTV! GoTV Overview GoTV is your new go-to spot for live Go streams, featuring Twitch streams from the Go community Dive into live games and watch players share their experiences How to Use GoTV Visit the GoTV Page: Head over to the GoTV page on OGS to see a list of live Go streams Look for the GoTV indicator in the navbar when
- Go Game Online with KataNet AI (KataGo Bare Neural Net) – Browser-Based . . .
Hello everyone, I’d like to share a project I’ve been working on related to KataGo AI I used an existing TensorFlow js-compatible KataGo bare neural net from this repo This is a small, early KataGo network adapted for browser use To keep the AI strength manageable, the app doesn’t use all the network’s input features, limiting the strength to about 2 dan A hack was implemented to
- Web KaTrain: browser-based KaTrain clone with in-browser KataGo . . .
Hi everyone! 👋 I’d like to share web-katrain, a browser-based KaTrain clone that runs KataGo-style analysis directly in the browser (using TensorFlow js with WebGPU and WASM fallback) The goal is a KaTrain-like UI and workflows without needing a local engine install—just open it in a modern browser and go welcome for any collaboration!
|