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

The Prefix Sum of an array `arr` of length **n** is another array `prefixSum_arr` of the same length such that the value of the `i`th index in `prefixSum_arr` is the sum of all values from `arr[0], arr[1]...arr[i]`.

In this lesson, you will study how to write the concurrent solution to the Prefix Sum Algorithm. 

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

Prefix Sum Problem : A Concurrent Approach