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Mastering Python Design Patterns

You're reading from   Mastering Python Design Patterns A guide to creating smart, efficient, and reusable software

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781788837484
Length 248 pages
Edition 2nd Edition
Languages
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Authors (2):
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Sakis Kasampalis Sakis Kasampalis
Author Profile Icon Sakis Kasampalis
Sakis Kasampalis
Kamon Ayeva Kamon Ayeva
Author Profile Icon Kamon Ayeva
Kamon Ayeva
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Table of Contents (17) Chapters Close

Preface 1. The Factory Pattern FREE CHAPTER 2. The Builder Pattern 3. Other Creational Patterns 4. The Adapter Pattern 5. The Decorator Pattern 6. The Bridge Pattern 7. The Facade Pattern 8. Other Structural Patterns 9. The Chain of Responsibility Pattern 10. The Command Pattern 11. The Observer Pattern 12. The State Pattern 13. Other Behavioral Patterns 14. The Observer Pattern in Reactive Programming 15. Microservices and Patterns for the Cloud 16. Other Books You May Enjoy

Summary

In this chapter, we covered the State design pattern. The State pattern is an implementation of one or more finite-state machines (in short, state machines) used to solve a particular software-engineering problem.

A state machine is an abstract machine with two main components: states and transitions. A state is the current status of a system. A state machine can have only one active state at any point in time. A transition is a switch from the current state to a new state. It is normal to execute one or more actions before or after a transition occurs. State machines can be represented visually using state diagrams.

State machines are used to solve many computational and non-computational problems. Some of them are traffic lights, parking meters, hardware designing, programming language parsing, and so forth. We saw how a snack vending machine relates to the way a state...

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