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Mastering GUI Programming with Python

You're reading from   Mastering GUI Programming with Python Develop impressive cross-platform GUI applications with PyQt

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789612905
Length 542 pages
Edition 1st Edition
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Author (1):
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Alan D. Moore Alan D. Moore
Author Profile Icon Alan D. Moore
Alan D. Moore
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Table of Contents (24) Chapters Close

Preface 1. Section 1: Deep Dive into PyQt FREE CHAPTER
2. Getting Started with PyQt 3. Building Forms with QtWidgets 4. Handling Events with Signals and Slots 5. Building Applications with QMainWindow 6. Creating Data Interfaces with Model-View Classes 7. Styling Qt Applications 8. Section 2: Working with External Resources
9. Working with Audio-Visual Using QtMultimedia 10. Networking with QtNetwork 11. Exploring SQL with Qt SQL 12. Section 3: Unraveling Advanced Qt Implementations
13. Multithreading with QTimer and QThread 14. Creating Rich Text with QTextDocument 15. Creating 2D Graphics with QPainter 16. Creating 3D Graphics with QtOpenGL 17. Embedding Data Plots with QtCharts 18. PyQt Raspberry Pi 19. Web Browsing with QtWebEngine 20. Preparing Your Software for Distribution 21. Answers to Questions 22. Upgrading Raspbian 9 to Raspbian 10
23. Other Books You May Enjoy

High concurrency with QThreadPool and QRunner

QThreads are ideal for putting a single long process into the background, especially when we want to communicate with that process using signals and slots. Sometimes, however, what we need to do is run a number of computationally intensive operations in parallel using as many threads as possible. This can be done with QThread, but a better alternative is found in QThreadPool and QRunner.

QRunner represents a single runnable task that we want our worker threads to perform. Unlike QThread, it is not derived from QObject and cannot use signals and slots. However, it is very efficient and is much simpler to use when you want many threads.

The QThreadPool object's job is to manage a queue of QRunner objects, spinning up new threads to execute the objects as compute resources become available.

To demonstrate how to work with this, let...

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