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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

Correctness anti-patterns

These anti-patterns can lead to bugs or unintended behavior if not addressed. We are going to discuss the most common of these anti-patterns and alternative, recommended ways and approaches. We are going to focus on the following anti-patterns:

  • Using the type() function for comparing types
  • Mutable default argument
  • Accessing a protected member from outside a class

Note that using IDEs such as Visual Studio Code or PyCharm or command-line tools such as Flake8 will help you spot such bad practices in your code, but it is important to know the recommendations and the reason behind each one.

Using the type() function for comparing types

Sometimes, we need to identify the type of a value through comparison, for our algorithm. The common technique one may think of for that is to use the type() function. But using type() to compare object types does not account for subclassing and is not as flexible as the alternative which is based on...

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