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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 closures

One of the most important parts of Go is that it is a language that supports first-class functions. First-class functions are functions that have the ability to be passed to other functions as variables. They can also be returned from other functions. This is important to note because we can use them as closures.

Closures are helpful because they are a great way to keep your code DRY as well as helping to isolate your data. Keeping datasets small has been a core tenet of this book thus far, and that doesn't change in this chapter (nor any subsequent chapter). Being able to isolate the data that you wish to manipulate can help you to continue to write performant code.

Closures keep a local scope and have access to the outer function's scope and parameters, as well as global variables. Closures are functions that reference variables outside of their...

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