Book Image

Learning Go Programming

Book Image

Learning Go Programming

Overview of this book

The Go programming language has firmly established itself as a favorite for building complex and scalable system applications. Go offers a direct and practical approach to programming that let programmers write correct and predictable code using concurrency idioms and a full-featured standard library. This is a step-by-step, practical guide full of real world examples to help you get started with Go in no time at all. We start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps. After this, you learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior. Next, you will be familiarized with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage. Finally, you will be able to utilize some of the most important features of GO such as, Network Programming and OS integration to build efficient applications. All the concepts are explained in a crisp and concise manner and by the end of this book; you would be able to create highly efficient programs that you can deploy over cloud.
Table of Contents (18 chapters)
Learning Go Programming
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface

Writing concurrent programs


Up to this point, the discussions about goroutines and channels remained deliberately separated to ensure that each topic is properly covered. However, the true power of channels and goroutines are realized when they are combined to create concurrent programs, as covered in this section.

Synchronization

One of the primary uses of channels is synchronization between running goroutines. To illustrate this use case, let us examine the following code, which implements a word histogram. The program reads the words from the data slice then, on a separate goroutine, collects the occurrence of each word:

func main() { 
   data := []string{ 
         "The yellow fish swims slowly in the water", 
         "The brown dog barks loudly after a drink ...", 
         "The dark bird bird of prey lands on a small ...", 
   } 
 
   histogram := make(map[string]int) 
   done := make(chan bool) 
 
   // splits and count words 
...