Pyqt Development Reference
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PyQt Development Reference
"PyQt Development Reference" "PyQt Development Reference" is a comprehensive and meticulously structured guide designed for both aspiring and experienced developers building professional-grade graphical applications in Python with the PyQt framework. The book unravels PyQt's foundations, beginning with a deep dive into its architecture, core concepts, and the relationship to Python and various Qt bindings. Readers gain practical insight into setting up robust development environments, navigating version compatibility between PyQt variants, and employing proven workflows that maximize developer productivity. With detailed attention to user interface design, the book offers exhaustive coverage of QtWidgets, layout management, dynamic UI construction, and custom widget creation. It further explores advanced topics such as rendering, graphics, and multimedia integration, enabling developers to craft visually compelling and interactive applications. PyQt’s powerful Model/View architecture, data visualization techniques, multithreading, asynchronous programming, and network integration are all explored in depth, ensuring readers are equipped to tackle complex data-driven and concurrent application scenarios. To ensure real-world readiness, "PyQt Development Reference" dedicates substantial focus to software quality, deployment, and maintainability. Practical chapters on automated testing, profiling, memory management, packaging, and cross-platform distribution are coupled with advanced coverage of architectural patterns, extensibility, internationalization, and security. Complete with industry case studies and best practices for maintainable codebases, this reference is an indispensable resource for mastering every aspect of modern PyQt development.
Rapid GUI Programming with Python and Qt
Author: Mark Summerfield
language: en
Publisher: Pearson Education
Release Date: 2007-10-18
Whether you're building GUI prototypes or full-fledged cross-platform GUI applications with native look-and-feel, PyQt 4 is your fastest, easiest, most powerful solution. Qt expert Mark Summerfield has written the definitive best-practice guide to PyQt 4 development. With Rapid GUI Programming with Python and Qt you'll learn how to build efficient GUI applications that run on all major operating systems, including Windows, Mac OS X, Linux, and many versions of Unix, using the same source code for all of them. Summerfield systematically introduces every core GUI development technique: from dialogs and windows to data handling; from events to printing; and more. Through the book's realistic examples you'll discover a completely new PyQt 4-based programming approach, as well as coverage of many new topics, from PyQt 4's rich text engine to advanced model/view and graphics/view programming. Every key concept is illuminated with realistic, downloadable examples–all tested on Windows, Mac OS X, and Linux with Python 2.5, Qt 4.2, and PyQt 4.2, and on Windows and Linux with Qt 4.3 and PyQt 4.3.
Create GUI Applications with Python & Qt5 (PyQt5 Edition)
Author: Martin Fitzpatrick
language: en
Publisher: Martin Fitzpatrick
Release Date: 2020-06-25
Building desktop applications doesn't have to be difficult. Using Python & Qt5 you can create fully functional desktop apps in minutes. This is the 4th Edition of Create GUI Applications, updated for 2020 & PyQt5 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