Most topics only get a single chapter, so there isn't as much depth as you would find in a dedicated book on each topic, but there is a very wide range of material all covered in enough depth to get the more experienced programmer started with a new topic. There are one or two weaker areas, but overall a good choice of material succinctly presented for the more experienced application developer. I've given it 5 stars as it was exactly what I was looking for - a single reference to help me create a Linux-based web database application, your mileage may vary. I recommend you at least consider it.
In this follow-up to the best-selling Beginning Linux Programming, you will learn from the authors' real-world knowledge and experience of developing software for Linux; you'll be taken through the development of a sample 'DVD Store' application, with 'theme' chapters addressing different aspects of its implementation. Meanwhile, individual 'take-a-break' chapters cover important topics that go beyond the bounds of the central theme. All focus on the practical aspects of programming, showing how crucial it is to choose the right tools for the job, use them as they should be used, and get things right first time.
Who is this book for?
Experienced Linux programmers and aspiring developers alike will find a great deal of practical information in this book on libraries, techniques, tools and applications. You should be familiar with a simple Linux system, have a good working knowledge of programming in C, and a basic understanding of object-oriented programming with C++ for the Qt/KDE chapters.
What does this book cover?
Data storage in Linux - including coverage of PostgreSQL, MySQL and XML Implementation of Linux GUIs - covering both KDE and GNOME Web-based interfaces - using the PHP module for Apache Python - including extending and embedding the language Using RPC and CORBA to construct distributed object-based applications Versioning (with CVS), documentation, internationalization and project distribution Distributed hardware solutions such as diskless Linux and Beowulf clustering