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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
Languages
Tools
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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

Maintaining simplicity in Go

Out of the box, Go doesn't follow specific patterns that other programming languages use. The writers chose different idioms for some of these following language constructs in order to keep the language simple and clear. Keeping the simplicity of the language has been a difficult task for language developers. Having tooling, libraries, fast execution, and fast compilation, all while maintaining simplicity, has been at the forefront of the language's development. Go's language developers have kept on track with these decisions with a design-by-consensus model—having a general consensus on adding things to a language ensures they are added in a way that is important to the development of the language.

Language maintainers are active on the GitHub issues page and are very happy to review pull requests if you have them. Getting feedback...

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