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Go Programming - From Beginner to Professional - Second Edition

You're reading from  Go Programming - From Beginner to Professional - Second Edition

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781803243054
Pages 680 pages
Edition 2nd Edition
Languages
Author (1):
Samantha Coyle Samantha Coyle
Profile icon Samantha Coyle

Table of Contents (30) Chapters

Preface Part 1: Scripts
Chapter 1: Variables and Operators Chapter 2: Command and Control Chapter 3: Core Types Chapter 4: Complex Types Part 2: Components
Chapter 5: Functions – Reduce, Reuse, and Recycle Chapter 6: Don’t Panic! Handle Your Errors Chapter 7: Interfaces Chapter 8: Generic Algorithm Superpowers Part 3: Modules
Chapter 9: Using Go Modules to Define a Project Chapter 10: Packages Keep Projects Manageable Chapter 11: Bug-Busting Debugging Skills Chapter 12: About Time Part 4: Applications
Chapter 13: Programming from the Command Line Chapter 14: File and Systems Chapter 15: SQL and Databases Part 5: Building For The Web
Chapter 16: Web Servers Chapter 17: Using the Go HTTP Client Part 6: Professional
Chapter 18: Concurrent Work Chapter 19: Testing Chapter 20: Using Go Tools Chapter 21: Go in the Cloud Index Other Books You May Enjoy

The importance of concurrency

So far, we’ve seen how to use concurrency to split work over several Goroutines, but in all of these exercises, concurrency was not really needed. In fact, you do not save much time doing what we did, nor do you have any other advantage. Concurrency is important when you need to perform several tasks that are logically independent of each other, and the easiest case to understand is a web server. You saw in Chapter 16, Web Servers, that several clients will most likely connect to the same server and all these connections will result in the server performing some actions. Also, these actions are all independent; that’s where concurrency is important, as you do not want one of your users to have to wait for all other HTTP requests to be completed before their request gets handled. Another case for concurrency is when you have different data sources to gather data and you can gather that data in different Goroutines and combine the result at...

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