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Hands-On High Performance Programming with Qt 5

Hands-On High Performance Programming with Qt 5

By : Marek Krajewski
5 (2)
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Hands-On High Performance Programming with Qt 5

Hands-On High Performance Programming with Qt 5

5 (2)
By: Marek Krajewski

Overview of this book

Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance. The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you’ll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains. By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature
Table of Contents (14 chapters)
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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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