Includes index.

Part. 1. The beginning. A sneak preview -- Part. 2. System programming. System tools -- Script execution context -- File and directory tools -- Parallel system tools -- Complete system programs -- Part. 3. GUI programming. Graphical user interfaces -- A tkinter tour -- GUI coding techniques -- Complete GUI programs -- Part. 4. Internet programming. Network scripting -- Client-side scripting -- The PyMailGUI client -- Server-side scripting -- The PyMailCGI server -- Part. 5. Tools and techniques. Databases and persistence -- Data structures -- Text and language -- Python/C integration -- Conclusion: Python and the development cycle.

If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Python's many roles in practical, real-world programming. You'll learn language syntax and programming techniques in a clear and concise manner, with lots of examples that illustrate both correct usage and common idioms. Completely updated for version 3.x, Programming Python also delves into the language as a software development tool, with many code examples scaled specifically for that purpose. Topics include: Quick Python tour: Build a simple demo that includes data representation, object-oriented programming, object persistence, GUIs, and website basicsSystem programming: Explore system interface tools and techniques for command-line scripting, processing files and folders, running programs in parallel, and moreGUI programming: Learn to use Python's tkinter widget library Internet programming: Access client-side network protocols and email tools, use CGI scripts, and learn website implementation techniques More ways to apply Python: Implement data structures, parse text-based information, interface with databases, and extend and embed Python.