9781491941195-1491941197-Concurrency in Go: Tools and Techniques for Developers

Concurrency in Go: Tools and Techniques for Developers

ISBN-13: 9781491941195
ISBN-10: 1491941197
Edition: 1
Author: Katherine Cox-Buday
Publication date: 2017
Publisher: O'Reilly Media
Format: Paperback 236 pages
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Book details

ISBN-13: 9781491941195
ISBN-10: 1491941197
Edition: 1
Author: Katherine Cox-Buday
Publication date: 2017
Publisher: O'Reilly Media
Format: Paperback 236 pages

Summary

Concurrency in Go: Tools and Techniques for Developers (ISBN-13: 9781491941195 and ISBN-10: 1491941197), written by authors Katherine Cox-Buday, was published by O'Reilly Media in 2017. With an overall rating of 3.5 stars, it's a notable title among other Software Design, Testing & Engineering (Programming) books. You can easily purchase or rent Concurrency in Go: Tools and Techniques for Developers (Paperback) from BooksRun, along with many other new and used Software Design, Testing & Engineering books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $14.76.

Description

Concurrency can be notoriously difficult to get right, but fortunately, the Go open source programming language makes working with concurrency tractable and even easy. If you’re a developer familiar with Go, this practical book demonstrates best practices and patterns to help you incorporate concurrency into your systems.

Author Katherine Cox-Buday takes you step-by-step through the process. You’ll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems. Learn the skills and tooling you need to confidently write and implement concurrent systems of any size.

  • Understand how Go addresses fundamental problems that make concurrency difficult to do correctly
  • Learn the key differences between concurrency and parallelism
  • Dig into the syntax of Go’s memory synchronization primitives
  • Form patterns with these primitives to write maintainable concurrent code
  • Compose patterns into a series of practices that enable you to write large, distributed systems that scale
  • Learn the sophistication behind goroutines and how Go’s runtime stitches everything together
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