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Hands-On High Performance with Go

You're reading from   Hands-On High Performance with Go Boost and optimize the performance of your Golang applications at scale with resilience

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789805789
Length 406 pages
Edition 1st Edition
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Author (1):
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Bob Strecansky Bob Strecansky
Author Profile Icon Bob Strecansky
Bob Strecansky
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Learning about Performance in Go
2. Introduction to Performance in Go FREE CHAPTER 3. Data Structures and Algorithms 4. Understanding Concurrency 5. STL Algorithm Equivalents in Go 6. Matrix and Vector Computation in Go 7. Section 2: Applying Performance Concepts in Go
8. Composing Readable Go Code 9. Template Programming in Go 10. Memory Management in Go 11. GPU Parallelization in Go 12. Compile Time Evaluations in Go 13. Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind
14. Building and Deploying Go Code 15. Profiling Go Code 16. Tracing Go Code 17. Clusters and Job Queues 18. Comparing Code Quality Across Versions 19. Other Books You May Enjoy

Understanding Concurrency

Iterators and generators are essential to Go. Utilizing channels and goroutines for parallelism and concurrency is idiomatic in Go and is one of the best ways to write high-performance, readable code in the language. We are going to first talk about some of the basic Go constructs in order to be able to understand how to use iterators and generators in the context of Go, followed by deep dives into the constructs of the available iterators and generators of the language.

In this chapter, we are going to cover the following topics:

  • Closures
  • Goroutines
  • Channels
  • Semaphores
  • WaitGroups
  • Iterators
  • Generators

Being able to understand the basic constructs of the Go language and when and where to use the proper iterators and generators is essential to writing performant Go.

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