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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

Summary

In this chapter, we have learned about many of the basic constructs that are used for iterators and generators in Go. Understanding anonymous functions and closures helped us to build foundational knowledge about how these functions work. We then learned how goroutines and channels work, and how to implement them fruitfully. We also learned about semaphores and WaitGroups, as well as how they play into the language. Understanding these skills will help us to parse through information in our computer programs in a more effective manner, allowing for more concurrent data manipulation. In Chapter 4, STL Algorithm Equivalents in Go, we'll learn about practical implementations of the Standard Templating Library (STL) in Go.

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