Mastering Python Design Patterns: Craft essential Python patterns by following core design principles

Learn Python design patterns such as Observer, Proxy, Throttling, Dependency Injection, and Anti-Patterns to develop efficient, scalable applications.

Key Features
Master essential design principles to build robust software architecture with the latest features in Python 3.10
Leverage concurrency, async patterns, and testing strategies for optimal performance
Apply SOLID principles and advanced patterns to real-world Python projects
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
As software systems become increasingly complex, maintaining code quality, scalability, and efficiency can be a daunting challenge. Mastering Python Design Patterns is an essential resource that equips you with the tools you need to overcome these hurdles and create robust, scalable applications.

The book delves into design principles and patterns in Python, covering both classic and modern patterns, and apply them to solve daily challenges as a Python developer or architect.

Co-authored by two Python experts with a combined experience of three decades, this new edition covers creational, structural, behavioral, and architectural patterns, including concurrency, asynchronous, and performance patterns. You'll find out how these patterns are relevant to various domains, such as event handling, concurrency, distributed systems, and testing. Whether you're working on user interfaces (UIs), web apps, APIs, data pipelines, or AI models, this book equips you with the knowledge to build robust and maintainable software. The book also presents Python anti-patterns, helping you avoid common pitfalls and ensuring your code remains clean and efficient.

By the end of this book, you'll be able to confidently apply classic and modern Python design patterns to build robust, scalable applications.

What you will learn
Master fundamental design principles and SOLID concepts
Become familiar with Gang of Four (GoF) patterns and apply them effectively in Python
Explore architectural design patterns to architect robust systems
Delve into concurrency and performance patterns for optimized code
Discover distributed systems patterns for scalable applications
Get up to speed with testing patterns to ensure code reliability and maintainability
Develop modular, decoupled systems and manage dependencies efficiently
Who this book is for
With a focus on intermediate and advanced Python programmers, this book offers valuable insights into the best practices for software design, backed by real-world examples and decades of experience. The book is also an excellent resource for software architects and team leaders who want to improve code quality and maintainability across their projects. Prior Python proficiency, including syntax, data structures, and OOP will help you get the most out of this book.

Table of Contents
Foundational Design Principles
SOLID Principles
Creational Design Patterns
Structural Design Patterns
Behavioral Design Patterns
Architectural Design Patterns
Concurrency and Asynchronous Patterns
Performance Patterns
Distributed Systems Patterns
Patterns for Testing
Python Anti-Patterns