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Mastering Python Design Patterns

You're reading from   Mastering Python Design Patterns Craft essential Python patterns by following core design principles

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781837639618
Length 296 pages
Edition 3rd Edition
Languages
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Authors (2):
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Kamon Ayeva Kamon Ayeva
Author Profile Icon Kamon Ayeva
Kamon Ayeva
Sakis Kasampalis Sakis Kasampalis
Author Profile Icon Sakis Kasampalis
Sakis Kasampalis
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Start with Principles FREE CHAPTER
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

Summary

In this chapter, we discussed concurrency and asynchronous patterns, patterns useful for writing efficient, responsive software that can handle multiple tasks at once.

The Thread Pool pattern is a powerful tool in concurrent programming, offering a way to manage resources efficiently and improve application performance. It helps us improve application performance but also reduces overhead and better manages resources because the thread pool limits the number of threads.

While the Thread Pool pattern focuses on reusing a fixed number of threads to execute tasks, the Worker Model pattern is more about the dynamic distribution of tasks across potentially scalable and flexible worker entities. This pattern is particularly useful for scenarios where tasks are independent and can be processed in parallel.

The Future and Promise pattern facilitates asynchronous operation, allowing applications to remain responsive and efficient by not blocking the main thread with long-running...

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