Average Reviews:
(More customer reviews)For any open source programming tool, there are always those who are quick to point out that free online documentation is of excellent quality and that a commercially published book adds questionable value. Indeed, the open process by which open source tools are made, which reveals the why's & wherefore's of the internal workings to anyone who looks, leads directly to the production of excellent online documentation; this is one of the great strengths of open source software. But everyone's needs are different. A college student or free software volunteer often has looser deadlines, less budget, and a more perfectionist attitude than, for example, a non-expert programmer, working in industry, trying to expeditiously solve a specific problem. A book of this genre is intended mainly for the latter audience, whereas the former may be disappointed at spending $50 when a web browser could have done the job. Cash-strapped college students, I know your pain; I used to be one. This book is not a particularly cost-effective study aid. If you live and breathe GUI progamming and can type out GTK2 and wxwidget classes by heart, then this book is probably a waste of time for you.
Having said that, I review this book with a view toward its value to its intended audience: Does buying this book and using it get the job done $50 cheaper, including the value of your own professional time, compared to the best available alternative? My experience is yes.
I am an electrical engineer, but not a programming expert. I have, at various times in my career, flipped bits in assembly language, suffered the rigors of Fortran, and slapped together contraptions in Matlab, VEE, Labview, etc. I have also had the misfortune of programming production test automation in Visual Basic, because that is what commercial instruments natively support. It is the shortcomings of VB that bring me to PyQT. I need to write test code that is portable, maintainable, and reliable. To give just one example, I don't want to fly across the Pacific Ocean to program workarounds for bugs in VB, because machines in the Chinese factory run Win98, and my development system in the US runs Win2k, and VB doesn't behave the same. But this is a book review, not a place to extol the virtues of PyQT nor criticize VB.
I have programmed in Python before, though for me Python has always been a language for one-off numerical or string processing tasks, where a spreadsheet is too limited and my bash script-fu is short of the task. I found the first three chapters on Python a helpful review, though it is not a complete instruction in Python. Compete beginners to Python will probably want to buy a separate book or work through the python.org tutorials. The author glosses over things that could trip up beginners; tellingly, he uses the term 'pythonic' without introduction. He is, however, careful to point out pitfalls that can waylay real-world production code, or would be of interest to experienced Perl/Ruby/VB programmers, like how Python handles the distinctions regarding {im}mutable types and {deep|shallow} copying.
I have never programmed QT before, and this book is indeed a complete introduction to QT. You don't need to know anything about QT nor how to program in C++ (QT's native language). Being able to read C++ syntax helps, though, because this book is not a QT reference, so you will probably have to look things up in the online QT references, which are written in C++.
It is something of a truism that the best way to learn a language is to read & understand someone else's well-written code, and then use that to write a program of your own. That is the approach used here, and the printed book format permits interleaving fragments of code with explanatory material in a way that doesn't work well on a computer screen. As such the text complements rather than duplicates the online documentation.
Regarding the book as a physical object, the quality is good but some extra features would have been nice. No CD is included, which I consider an oversight for a book at this price. Even the shortest examples lack source code listings, except as snippets woven into the text. You have to download the example code from a URL buried in the introduction, which is odd considering how important the example code is to this style of instruction. Occasional sidebar topics, icons, and cross-references help to organize the material, though not to the spoon-feeding level of "For {Dummies|Idiots}" books. The index is a bit above average for a book of this type, better than pure machine-generated grep output that sometimes passes for an index these days, but not as good as the best manual indices of decades past. The cover, binding, & paper stock are of decent quality. The book will stay open to just about any page when laid on a table, and the glue looks like it will, well probably, hold the sheaves in for many years. No color is used, nor edge printing to help find the chapters, which would have been helpful for a book this long.
Click Here to see more reviews about: Rapid GUI Programming with Python and Qt (Prentice Hall Open Source Software Development)
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
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