Concurrency doesn’t need to be confusing. Start writing concurrent code that improves performance, scales up to handle large volumes of data, and takes full advantage of modern multi-processor hardware.
Too many developers think concurrency is extremely challenging.
Learn Concurrent Programming with Go
is here to prove them wrong! This book uses the easy-to-grasp concurrency tools of the Go language to demonstrate principles and techniques, steadily teaching you the best practices of effective concurrency. Techniques learned in this book can be applied to other languages.
In
you will learn how to:
Implement effective concurrency for more responsive, higher performing, scalable software
Avoid common concurrency problems such as deadlocks and race conditions
Manage concurrency using goroutines, mutexes, readers-writer locks, and more
Identify concurrency patterns such as pipelining, worker pools, and message passing
Discover advantages, limits, and properties of parallel computing
Improve your Go coding skills with advanced multithreading topics
Concurrent programming allows multiple tasks to execute and interact simultaneously, speeding up performance and reducing user wait time. In
, you’ll discover universal principles of concurrency, along with how to use them for a performance boost in your Go applications. Expert author James Cutajar starts with the basics of modeling concurrency in your programs, demonstrates differences between message passing and memory sharing, and even introduces advanced topics such as atomic variables and futexes.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the technology
You can improve almost any application’s performance and responsiveness by introducing concurrency into the codebase. This book will show you how! It starts with the basics of concurrent programming and builds your skills step by step by exploring scenarios you’ll face every day as a developer. Author James Cutajar explains each aspect of concurrency in plain language using the intuitive features baked into the Go language.
About the book
provides a practical, hands-on introduction to creating software for modern multiprocessor systems. In it, you’ll learn how to divide larger programming tasks into independent parts that can run simultaneously. You’ll use the Go language to implement common concurrency patterns by utilizing readers-writer locks, semaphores, message passing, and memory sharing. The skills you learn will easily transfer to other languages.
What's inside
Prevent deadlocks and race conditions
Go concurrency features like goroutines, mutexes, channels, and more
Concurrency patterns including pipelining and worker pools
About the reader
For programmers with basic knowledge of Go or another C-style language. No experience in concurrent programming required.
About the author
James Cutajar
has been programming for more than 20 years. He’s an open source contributor, blogger, tech evangelist, Udemy instructor, and author.
Table of Contents
PART 1 FOUNDATIONS
1 Stepping into concurrent programming
2 Dealing with threads
3 Thread communication using memory sharing
4 Synchronization with mutexes
5 Condition variables and semaphores
6 Synchronizing with waitgroups and barriers
PART 2 MESSAGE PASSING
7 Communication using message passing
8 Selecting channels
9 Programming with channels
PART 3 MORE CONCURRENCY
10 Concurrency patterns
11 Avoiding deadlocks
12 Atomics, spin locks, and futexes