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Hands-On High Performance Programming with Qt 5

You're reading from   Hands-On High Performance Programming with Qt 5 Build cross-platform applications using concurrency, parallel programming, and memory management

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789531244
Length 384 pages
Edition 1st Edition
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Author (1):
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Marek Krajewski Marek Krajewski
Author Profile Icon Marek Krajewski
Marek Krajewski
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Table of Contents (14) Chapters Close

Preface 1. Understanding Performant Programs 2. Profiling to Find Bottlenecks FREE CHAPTER 3. Deep Dive into C++ and Performance 4. Using Data Structures and Algorithms Efficiently 5. An In-Depth Guide to Concurrency and Multithreading 6. Performance Failures and How to Overcome Them 7. Understanding I/O Performance and Overcoming Related Problems 8. Optimizing Graphical Performance 9. Optimizing Network Performance 10. Qt Performance on Embedded and Mobile Platforms 11. Testing and Deploying Qt Applications 12. Assessments 13. Other Books You May Enjoy

Using Data Structures and Algorithms Efficiently

It has repeatedly been stated that algorithmic choice is the biggest single factor concerning performance, before asynchronous and concurrent programming issues, and memory allocation and memory access overheads.

Bad programmers worry about the code. Good programmers worry about data structures and their relationships.

– Linus Torvalds

As we all want to be good programmers, we have to know about data structures and, consequently, their associated algorithms. In this chapter, we will first have a look at data structures and algorithms in general, then we will discuss the specifics of Qt-provided data structures, and at the end we will deliberate about ways to improve performance...

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