Go.tar.gz

DataRaceBuilder

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Mastering concurrency can make you a much more in-demand developer on the job market. It's becoming an increasingly important concept in modern programming as multi-core devices become more and more prevalent.

The good news is that Go has some outstanding support for concurrency out of the box that makes implementation a breeze. In fact, concurrency in Go is easier to implement and faster than in any other major language.

In this course, you'll start off with a general introduction to concurrency and build up to more advanced concepts and implementation in Go. You'll also have a chance to go through some common patterns that will make your life easier and your code more efficient. By the time you're done, you'll be able to make use of Go to write efficient, practical applications that use concurrency.

Mastering Concurrency in Go

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

The 'sync' Package