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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 trees

A tree is a non-linear data structure that is used in computer science to store information. It's commonly used to store data that maintains relationships, particularly if the relationships form a hierarchy. Trees are also simple to search (diagram for array sorting algorithms in the Understanding sort algorithms section) shows us that many trees have an O(log n) time complexity with operations in trees). For many problems, trees are the best solution because of how they reference hierarchical data. Trees are combinations of nodes that don't make a cycle.

Each tree is made up of elements called nodes. We start at the root node (the yellow box labeled root in the binary trees figure below). There is a left and a right reference pointer (numbers 2 and 7, in our case ) and a data element (the number 1, in this case) within each node. As a tree grows, the...

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