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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

Questions

Once again, here are a couple of questions to test your understanding of the material from this chapter:

  1. If a better algorithm uses knowledge about the structure of the data, how does that apply to sorting? Is the data to be sorted, by definition, devoid of any structure?
  1. Is using the QStringList class a good idea? Or should you use QVector<QString> instead?
  2. Is there any chance that Qt will start using the standard library containers in their APIs?
  3. What is SSO? What is SVO? Where are they used?
  4. Consider the following code:
 Q_FOREACH(auto const& v, qvector) { ... }

Is it dangerous?

  1. Do you know now why back in time the COW containers were also known as mad COW containers?
  2. Who were the Gang of Four? Are they relevant for performance?
  3. What seems to have the greatest improvement potential when implementing data structures?
  4. Talking about strings, what can you...
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