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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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Toc

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

Strategy pattern

Most problems can be solved in more than one way. Take, for example, the sorting problem, which is related to putting the elements of a list in a specific order.

There are many sorting algorithms, and, in general, none of them is considered the best for all cases j.mp/algocomp.

There are different criteria that help us pick a sorting algorithm on a per-case basis. Some of the things that should be taken into account are listed here:

  • A number of elements that need to be sorted: This is called the input size. Almost all the sorting algorithms behave fairly well when the input size is small, but only a few of them have good performance with a large input size.
  • The best/average/worst time complexity of the algorithm: Time complexity is (roughly) the amount of time the algorithm takes to complete, excluding coefficients and lower-order terms. This is often the most...
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