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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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Toc

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

Briefing on interfaces in Go

Go's interfacing system is different from the interfacing systems in other languages. They are named collections of methods. Interfaces are important in composing readable Go code because they make the code scalable and flexible. Interfaces also give us the ability to have polymorphism (providing a single interface to items with different types) in Go. Another positive aspect of interfaces is that they are implicitly implemented—the compiler checks that a specific type implements a specific interface.

We can define an interface as follows:

type example interface {
foo() int
bar() float64
}

If we want to implement an interface, all we need to do is implement the methods that are referenced in the interface. The compiler validates your interface's methods so that you don't have to perform this action.

We can also define an empty interface...

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