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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 algorithms in the STL

Algorithms in the STL perform functions such as sorting and searching, as well as manipulating and counting data. These are called by the <algorithm> header in C++ and are used on ranges of elements. The groups of objects that are modified do not impact the structure of the container they are associated with. The patterns outlined in each of the subheadings here use Go's language structure to implement these algorithms. The following types of algorithm will be explained in this section of the chapter:

  • Sort
  • Reverse
  • Min and max elements
  • Binary search

Being able to understand how all of these algorithms work will help you to produce performant code when you need to use these techniques to manipulate data structures using algorithms.

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