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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
2. Chapter 1: Foundational Design Principles FREE CHAPTER 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

To get the most out of this book

Use a machine with a recent version of Windows, Linux, or macOS.

Install Python 3.12. It is also useful to create a virtual environment from your Python installation so that when you add third-party modules required for following some of the chapters, you do not end up polluting your global Python. This is a fundamental best practice for productivity with Python, and you will find many resources on the Internet that explain how to do this.

Install and use Docker on your machine. This will help with the requirement of some external software services or tools, such as LocalStack (used in Chapter 6) and the Redis server (used in Chapter 8).

Software/hardware covered in the book

Operating system requirements

Python 3.12

Windows, macOS, or Linux

MyPy 1.10.0

Docker

Redis-server 6.2.6

LocalStack 3.4.0

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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