In this module, you'll learn concurrency in Go and master Go parallelism for improved performance. You will also explore Go Fan-In Fan-out patterns to optimize task and data processing.

Go.tar.gz

DataRaceBuilder

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Golang for Programmers

Mastering concurrency in Go can make you a highly sought-after developer in today's job market, where multi-core devices are becoming common. The good news is that concurrency in Go is straightforward and efficient, thanks to Go’s robust support for concurrency out of the box. In fact, it's easier and faster to implement than in other major programming languages.
In this module, we'll begin with a general introduction to concurrency and build up to more advanced concepts like Go parallelism. We'll also dive into common patterns, including Go Fan-In Fan-out, which will make our code more efficient. By the end of this module, you'll be equipped to write high-performance, concurrent applications using Go.

Go Concurrency

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

Conclusion

Prefix Sum Problem : A Concurrent Approach