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

In this exercise, you are required to write a concurrent solution to the Merge Sort problem using `goroutines` and `channels`. 

The gist of the Merge Sort Algorithm can be found below : 
```
func MergeSort(data [] int) [] int {
  if len(data) <= 1 {
    return data
  }

  mid := len(data)/2
  left := MergeSort(data[:mid])
  right := MergeSort(data[mid:])
  return Merge(left,right)
}
```



Let's dive into concurrent programming by implementing the merge sort concurrently. 

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

Exercise: Merge Sort