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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

Iterators and the process of iteration

Iteration is the method of looking through a group of data, usually a list, in order to retrieve information from said list. Go has a bunch of different iterator patterns, all with benefits and drawbacks:

Iterator Benefit Drawback
for loop Simplest implementation No default concurrency.
Iterator function with a callback Simple implementation Unconventional styling for Go; difficult to read.
Channels Simple implementation More expensive computationally than some other iterators (with a marginal cost difference). The only iterator that is naturally concurrent.
Stateful iterators Difficult implementation A nice caller interface. Useful for complex iterators (commonly used in the standard library).

It's important to benchmark all of these against one another in order to validate assumptions about how long each one takes....

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