Go.tar.gz

DataRaceBuilder

temp

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

For a concurrent program, concurrent processes have to operate individually but with a shared data source. However, this leads to problems such as race conditions, which we will discuss in the next lesson. Hence, Tony Hoare came up with an effective solution in 1978, i.e. communication between concurrent processes. He put forth the idea of communication in concurrency in a paper titled **Communicating Sequential Processes**. Have a look at it [here](https://dl.acm.org/citation.cfm?doid=359576.359585). 
This communication allows us to give a better structure to our concurrent approach and is a simpler solution than using locks, semaphores, etc. 


According to this paper, processes have been conceptualized as individual blocks of logic which take in some input and give out some output. 

In this lesson, we will briefly discuss Communicating Sequential Processes (CSP).

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

Communicating Sequential Processes