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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 Thread Pool pattern

First, it’s important to understand what a thread is. In computing, a thread is the smallest unit of processing that can be scheduled by an operating system.

Threads are like tracks of execution that can run on a computer at the same time, which enables many activities to be done simultaneously and thus improve performance. They are particularly important in applications that need multitasking, such as serving multiple web requests or carrying out multiple computations.

Now, onto the Thread Pool pattern itself. Imagine you have many tasks to complete but starting each task (which means in this case, creating a thread) can be expensive in terms of resources and time. It’s like hiring a new employee every time you have a job to do and then letting them go when the job is done. This process can be inefficient and costly. By maintaining a collection, or a pool, of worker threads that can be created for once and then reused upon several jobs,...

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