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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

Exploring reflection in Go

Reflection in Go is a form of metaprogramming. Using reflection in Go lets the program understand its own structure. There are times when you want to use a variable at runtime that doesn't exist when the program was composed. We use reflection to check the key and value pair that is stored within an interface variable. Reflection is not often clear, so be wary of using it—it should be used in special cases when necessary. It only has runtime checks (not compile checks), so we need to use reflection with common sense.

It's important to remember that Go's variables are statically typed. There are many different variable types that we can use in Gorune, int, string, and so on. We can declare a specific type as follows:

Type foo int
var x int
var y foo

Both variables, x and y, will be int typed variables.

There are three important...

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