Whether you're a novice or an advanced practitioner, you'll find this refreshed book more than lives up to its reputation. "Programming Python," 3rd Edition, teaches you the right way to code. It explains Python language syntax and programming techniques in a clear and concise manner, with numerous examples that illustrate both correct usage and common idioms. By reading this comprehensive guide, you'll learn how to apply Python in real-world problem domains such as: GUI programming Internet scripting Parallel processing Database management Networked applications

"Programming Python," Third Edition covers each of these target domains gradually, beginning with in-depth discussions of core concepts and then progressing toward complete programs. Large examples do appear, but only after you've learned enough to understand their techniques and code.

Along the way, you'll also learn how to use the Python language in realistically scaled programs--concepts such as Object-Oriented Programming (OOP) and code reuse are recurring side themes throughout this text. If you're interested in Python programming, then this O'Reilly classic needs to be within arm's reach. The wealth of practical advice, snippets of code, and patterns of program design can all be put into use on a daily basis--making your life easier and more productive.

Reviews of the second edition:

,,"."about as comprehensive as any book can be.""
--Dr.Dobb's Journal

""If the language had manuals, they would undoubtedly be the texts from O'Reilly...'Learning Python' and 'Programming Python' are definitive treatments.""
--SD Times

Amazon.com Review
Completely revised and improved, the second edition of Programming Python is an excellent compendium of material geared toward the more knowledgeable Python developer. It includes dozens of reusable scripts for common scripting tasks, and is one of the best available sources of information for this popular object-oriented scripting language.

In over 1,200 pages of material, this book offers an extremely comprehensive guide to Python development. Though his book is densely packed with information, Mark Lutz is a lively and witty writer whose focus is on getting things done using the natural strengths of the Python language. To that end, after an introduction and history of the language, the book shows how to use Python for performing automated tasks with files and directories (for example, for doing backups both locally and on Web servers). Not only will this book teach you more about Python, but it will also give you a library of code that you can use as is or adapt for your own projects.

The text covers every conceivable facet of Python and the language's support for networking, files and directories, task management, and even persistence (through its support for shelves). Complete Python programs show how to create e-mail clients, do reporting, and create Web applications (for an online errata database). Chapters on doing graphics programming in Python, as well as coverage of both built-in and custom data structures, are especially good. Because Python is often used for automating installations (in some Linux distributions, for instance), readers will appreciate the sample code and tips for using Python to create bulletproof installs.

Later sections show how get Python to work with C, Java (through JPython), and other languages. The book concludes with useful reference sections summarizing key aspects of Python, like its revision history, relationship to C++, and other material. There aren't many titles on Python, and fans of this up-and-coming language are lucky to have such a solid tutorial and guide available in Programming Python. Perfect for those with just a little previous exposure to the language, it's all you need to master Python in-depth and tap its considerable power for virtually any software project. --Richard Dragan

Topics covered:

• Introduction to Python
• Basic system scripts with Python (including file and directory tools)
• Working with processes and threads
• Pipes and signals
• Sample scripts for system and Web utilities (including backing up files, program launching, replicating and managing directories)
• Graphical user interface design in Python (including the Tkinter module)
• Widgets and basic components
• Layout options
• Event handling
• GUI examples (including a working text editor, image viewer, and clock)
• Network scripting (sockets, FTP, and e-mail clients)
• Server-side scripting
• Sample server scripts for an online errata database
• Python on the Internet (including Zope, JPython, and XML tools)
• Databases and persistence in Python (including pickled objects and shelf files)
• Custom and built-in data structures in Python
• Text and string handling
• C integration with Python (including the SWIG module)
• Embedding Python calls within C
• Hints for using Python in real projects
• Reference to recent changes to Python
• Python vs. C++ quick-start guide