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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 Qt containers

Let's start with the statement that there's a raging debate when it comes to Qt data structures. There are proponents of Qt data structures and in the opposite camp the champions of standard STL algorithms and data structures.

What can we say about that? Qt containers were designed long ago when some platforms didn't support STL. The design objectives were for them to be good enough for GUI programming, easy to use, and discoverable, whereas STL containers were designed to be general-purpose, efficient, and correct. Thus, Qt containers lack many features of their STL counterparts and they also were neither modernized nor have they acquired many new features since the times of Qt 4. They are just good enough to build GUIs. As they are used pervasively in all Qt APIs, it would be a performance sin to copy their data to STL containers only to be...

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