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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 Template pattern

A key ingredient in writing good code is avoiding redundancy. In OOP, methods and functions are important tools that we can use to avoid writing redundant code.

Remember the sorted() example we saw when discussing the Strategy pattern. That function is generic enough that it can be used to sort more than one data structure (lists, tuples, and named tuples) using arbitrary keys. That’s the definition of a good function.

Functions such as sorted() demonstrate the ideal case. However, we cannot always write 100% generic code.

In the process of writing code that handles algorithms in the real world, we often end up writing redundant code. That’s the problem solved by the Template design pattern. This pattern focuses on eliminating code redundancy. The idea is that we should be able to redefine certain parts of an algorithm without changing its structure.

Real-world examples

The daily routine of a worker, especially for workers of the same...

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