In this module, you'll learn concurrency in Go and master Go parallelism for improved performance. You will also explore Go Fan-In Fan-out patterns to optimize task and data processing.

Go.tar.gz

DataRaceBuilder

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Golang for Programmers

Mastering concurrency in Go can make you a highly sought-after developer in today's job market, where multi-core devices are becoming common. The good news is that concurrency in Go is straightforward and efficient, thanks to Go’s robust support for concurrency out of the box. In fact, it's easier and faster to implement than in other major programming languages.
In this module, we'll begin with a general introduction to concurrency and build up to more advanced concepts like Go parallelism. We'll also dive into common patterns, including Go Fan-In Fan-out, which will make our code more efficient. By the end of this module, you'll be equipped to write high-performance, concurrent applications using Go.

Go Concurrency

So far, you are familiar with  `WaitGroups` and `Mutex` from the `sync` package.  

Here are some other features in Go from the `sync` Package:

* Pool: A `Pool` is a collection of temporary objects which can be accessed and saved by many goroutines simultaneously. 
* Once: A `Once` is an object that performs an action only once. 
* Cond: A `Cond` implements a condition variable which indicates the goroutines which are waiting for an event or want to announce an event. 

You can try exploring them on your own as they will come in handy for you while writing concurrent programs in Go. 

This lesson lists down the other features that come in handy to implement concurrency from the `sync` Package.  

Introduction to Concurrency

Building Blocks of Concurrency in Go

Exam I on Mastering Concurrency in Go

Basic Concurrency Patterns in Go

Exam II on Mastering Concurrency in Go

Conclusion

The 'sync' Package