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Mastering Python Design Patterns - Third Edition

You're reading from  Mastering Python Design Patterns - Third Edition

Product type Book
Published in May 2024
Publisher Packt
ISBN-13 9781837639618
Pages 296 pages
Edition 3rd Edition
Languages
Authors (2):
Kamon Ayeva Kamon Ayeva
Profile icon Kamon Ayeva
Sakis Kasampalis Sakis Kasampalis
Profile icon Sakis Kasampalis
View More author details
Toc

Table of Contents (17) Chapters close

Preface 1. Part 1: Start with Principles
2. Chapter 1: Foundational Design Principles 3. Chapter 2: SOLID Principles 4. Part 2: From the Gang of Four
5. Chapter 3: Creational Design Patterns 6. Chapter 4: Structural Design Patterns 7. Chapter 5: Behavioral Design Patterns 8. Part 3: Beyond the Gang of Four
9. Chapter 6: Architectural Design Patterns 10. Chapter 7: Concurrency and Asynchronous Patterns 11. Chapter 8: Performance Patterns 12. Chapter 9: Distributed Systems Patterns 13. Chapter 10: Patterns for Testing 14. Chapter 11: Python Anti-Patterns 15. Index 16. Other Books You May Enjoy

The prototype pattern

The prototype pattern allows you to create new objects by copying existing ones, rather than creating them from scratch. This pattern is particularly useful when the cost of initializing an object is more expensive or complex than copying an existing one. In essence, the prototype pattern enables you to create a new instance of a class by duplicating an existing instance, thereby avoiding the overhead of initializing a new object.

In its simplest version, this pattern is just a clone() function that accepts an object as an input parameter and returns a clone of it. In Python, this can be done using the copy.deepcopy() function.

Real-world examples

Cloning a plant by taking a cutting is a real-world example of the prototype pattern. Using this approach, you don’t grow the plant from a seed; you create a new plant that’s a copy of an existing one.

Many Python applications make use of the prototype pattern, but it is rarely referred to as...

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