Python isn't just a tool for creating short Web scripts and simple prototypes: its advantages are equally compelling in large-scale development. In Python Programming Patterns, 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. Christopher teaches both the Python programming language and how to "program in the large" with Python, using objects, modularization, toolkits, frameworks, and other powerful tools and techniques. 20+ proven object-oriented patterns for large-scale Python development: creational, structural, and behavioral. Leverage the skills you've mastered in other object-oriented languages. Design Python systems for maximum reuse. Make the most of persistence, concurrent programming, functional programming, and metaprogramming. Create cleaner, more comprehensible software systems.
Python Programming Patterns
http://www.amazon.com/exec/obidos/ASIN/0130409561/bigwebmasters-20
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October 23, 2001
$45.00
$45.00
400
1st edition
0130409561
Prentice Hall
Thomas W. Christopher
python objects, python modularization, python toolkits, python frameworks, python tools
Introducing powerful design patterns for scalability and reuse
Python isn't just a tool for creating short Web scripts and simple prototypes: its advantages are equally compelling in large-scale development. In Python Programming Patterns, 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. Christopher teaches both the Python programming language and how to "program in the large" with Python, using objects, modularization, toolkits, frameworks, and other powerful tools and techniques. 20+ proven object-oriented patterns for large-scale Python development: creational, structural, and behavioral. Leverage the skills you've mastered in other object-oriented languages. Design Python systems for maximum reuse. Make the most of persistence, concurrent programming, functional programming, and metaprogramming. Create cleaner, more comprehensible software systems.
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