Rapid GUI Programming with Python and Qt: The Definitive Guide to PyQt Programming
- Authors
- Summerfield, Mark
- Publisher
- Prentice Hall
- Tags
- python , programming
- Date
- 2007-10-01T00:00:00+00:00
- Size
- 27.97 MB
- Lang
- en
The Insider's Best-Practice Guide to Rapid PyQt 4 GUI Development 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.
Coverge includes
Python basics for every PyQt developer: data types, data structures, control
structures, classes, modules, and more
Core PyQt GUI programming techniques: dialogs, main windows, and custom file
formats
Using Qt Designer to design user interfaces, and to implement and test
dialogs, events, the Clipboard, and drag-and-drop
Building custom widgets: Widget Style Sheets, composite widgets, subclassing,
and more
Making the most of Qt 4.2's new graphics/view architecture
Connecting to databases, executing SQL queries, and using form and table views
Advanced model/view programming: custom views, generic delegates, and more
Implementing online help, internationalizing applications, and using PyQt's
networking and multithreading facilities