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

One of the reasons why concurrency is hard to achieve is because of **data races**. 

## Data Race
> A **data race** happens when processes have to access the same variable concur­rently i.e. one process reads from a memory location while another simultaneously writes to the exact same memory location. 

The following function is an example of a data race:

One of the reasons why concurrency is hard to achieve is because of **data races**. 

# Data Race
> A **data race** happens when processes have to access the same variable concur­rently i.e. one process reads from a memory location while another simultaneously writes to the exact same memory location. 

The following function is an example of a data race:

In this lesson, you will learn about data races which in most cases lead to race conditions. 

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

Data Races and Race Conditions

Data Race