Starting from the very basics, this book takes you on a tour of the key features of PyQt you can use to build real-life applications. Learn the fundamental building blocks of Qt applications — Widgets, Layouts & Signals and learn how PyQt uses the event loop to handle and respond to user input. Design beautiful UIs with Qt Designer and customize the look and feel of your applications with Qt Style Sheets and custom widgets.
Use PyQt's MVC-like ModelViews framework to connect data sources to your widgets, including SQL databases, numpy and pandas data tables, to build-data driven application. Visualize data using matplotlib & PyQtGraph and connect with external data sources to build live dashboards. Learn how to use threads and processes to manage long-running tasks and communicate with external services. Parse data and visualize the output in logs and progress bars.
The book includes usability and architectural tips to help you build maintainable and usable PyQt applications from the start. Finally, once your application is ready to be released, discover how to package it up into professional-quality installers, ready to ship.
The book includes
- 665 pages of hands-on PyQt5 exercises
- 211 code examples to experiment with
- Support forum for all readers
- Includes 4 example apps
- Compatible with Python 3.4+
- Code free to reuse in your own projects
Martin Fitzpatrick has been teaching and using PyQt5 for 8 years, helping developers to bring their apps to life in Python. With a background in bioinformatics and data analysis, he has particular experience in building data-centric applications and analysis tools with Qt.