-- The right way to write Python: using modularization, toolkits, frameworks, abstract data types, and object-oriented techniques.

-- Includes more than 20 proven object-oriented patterns for large-scale Python development.

-- Detailed coverage of persistence, concurrent programming, metaprogramming, functional programming, and more.

Python isn't just a tool for creating short Web scripts and simple prototypes: its advantages are equally compelling in large-scale development. In this book, Thomas Christopher shows developers the best ways to write large programs with Python, introducing powerful design patterns that deliver unprecedented levels of robustness, scalability, and reuse. Python Programming Patterns teaches both the Python programming language and how to "program in the large" in Python, using object-oriented techniques. Thomas Christopher demonstrates how to write Python code that leverages "programming-in-the-large" software structuring techniques, including modularization, toolkits, frameworks, abstract data types, and especially object-orientation. He presents more than 20 powerful object-oriented design patterns for Python, including creational, structural, and behavior patterns. The book includes detailed coverage of key topics such as persistence, concurrent programming, and metaprogramming (Python's term for reflection or introspection). Christopher also presents useful functional programming techniques, showing how to combine them with other techniques to make them even more valuable. For every enterprise developer who wants to use Python.