Made a library? Written a blog post? Found a useful tutorial? Share it with the Go community here or just enjoy what everyone else has found!
An article aimed at beginners to understand how to compose more complex packages, beyond making the usual “one package - one binary” ones. You can check it out here.
Write your HTTP application in Go once, deploy it everywhere (on-premise & AWS Lambda supported)
Just call gluo.ListenAndServe
instead of http.ListenAndServe
.
package main
import (
"github.com/imdario/gluo"
"net/http"
)
func handler(w http.ResponseWriter, r *http.Request) {
w.Write([]byte("Hello from Gluo"))
}
func main() {
gluo.ListenAndServe(":3000", http.HandlerFunc(handler))
}
Buffalo Blog https://blog.gobuffalo.io/buffalo-v0-10-3-released-d871076013d1
Colly - Fast and Elegant Scraping Framework for Gophers.
With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving.
Features:
Clean API
Fast (>1k request/sec on a single core)
Manages request delays and maximum concurrency per domain
Automatic cookie and session handling
Sync/async/parallel scraping
Caching
Automatic encoding of non-unicode responses
Robots.txt support
Google App Engine support
Gophercises.com - coding exercises for budding gophers
Gophercises is a FREE course that will help you become more familiar with Go while developing your skills as a programmer. In the course we will build roughly 20 different mini-applications, packages, and tools that are each designed to teach you something different.
Datacol is a control layer on top of cloud(AWS/GCP), to provide Heroku like experience with power of Kubernetes under the hood
More: https://www.datacol.io/
Let me explain my setup to keep backups of my repositories on my own server.
Learn how to use channels to model your data flow by building a web crawler in Go.
Bulldog is an amazing hunting dog that checks for you a list of URLs and warns you by email if one of them returns a http code that is not 200.
A program that supports concurrency can carry out several operations at the same time. That’s especially important on today’s multi-core computer processors. A program that uses 4 cores at once could theoretically run almost 4 times as fast (well, for certain operations). But programs without concurrency support can usually only use a single core, which lets a lot of processing power go to waste.
The O’Reilly Programming Podcast: Inside the development of a new Go ecosystem. Mark Bates on Go and Buffalo