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Mastering Python Design Patterns

Mastering Python Design Patterns

By : Sakis Kasampalis
3.6 (5)
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Mastering Python Design Patterns

Mastering Python Design Patterns

3.6 (5)
By: Sakis Kasampalis

Overview of this book

This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can also benefit from this book, but it would be better if they first read some introductory materials that explain how things are done in Python.
Table of Contents (18 chapters)
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1
1. The Factory Pattern
17
Index

Use cases

The State pattern is applicable to many problems. All the problems that can be solved using state machines are good use cases to use the State pattern. An example we have already seen is the process model of an operating/embedded system.

Programming language compiler implementation is another good example. Lexical and syntactic analysis can use states to build abstract syntax trees [j.mp/wikifsm].

Event-driven systems are yet another example. In an event-driven system, the transition from one state to another triggers an event/message. Many computer games use this technique. For example, a monster might move from the state guard to the state attack when the main hero approaches it [j.mp/wikievfsm], [j.mp/gamefsm].

To quote Thomas Jaeger: "the state design pattern allows for full encapsulation of an unlimited number of states on a context for easy maintenance and flexibility" [j.mp/statevs].

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