Learn Concurrent Programming with Go
by James Cutajar (Author)

--ISBN-10 ‏ : ‎ 1633438384
--ISBN-13 ‏ : ‎ 978-1633438385

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 Learn Concurrent Programming with Go 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 Learn Concurrent Programming with Go, 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.

What's inside:

·Prevent deadlocks and race conditions
·Go concurrency features like goroutines, mutexes, channels, and more
·Concurrency patterns including pipelining and worker pools

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