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 basics
• System programming: Explore system interface tools and techniques for command-line scripting, processing files and folders, running programs in parallel, and more
• GUI 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

• The Beginning
  • A Sneak Preview
• System Programming
  • System Tools
  • Script Execution Context
  • File and Directory Tools
  • Parallel System Tools
  • Complete System Programs
• GUI Programming
  • Graphical User Interfaces
  • A tkinter Tour, Part 1
  • A tkinter Tour, Part 2
  • GUI Coding Techniques
  • Complete GUI Programs
• Internet Programming
  • Network Scripting
  • Client-Side Scripting
  • The PyMailGUI Client
  • Server-Side Scripting
  • The PyMailCGI Server
• Tools and Techniques
  • Databases and Persistence
  • Data Structures
  • Text and Language
  • Python/C Integration
• The End
  • Conclusion: Python and the Development Cycle
• Colophon