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

A lot of people confuse concurrency with parallelism because they both somewhat imply executing code simultaneously but they are two completely different concepts. This lesson will help you clear up some misconceptions caused by developers using these concepts interchangeably. 

> "Concurrency is about dealing with lots of things at once. 
>
>Parallelism is about doing lots of things at once" 


In this lesson, you'll understand the difference between concurrency and parallelism.

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

Concurrency vs. Parallelism