Preface

Explore the world of design principles and design patterns in the context of the Python programming language with this comprehensive guide. Learn about classic and modern design patterns and how to use them to solve problems you encounter daily as a Python developer or software architect.

With code examples, real-world case studies, and detailed solution implementations, this book is a must-read for Python developers looking to elevate their coding skills. Co-authored by a Python expert with over two decades of experience, this new edition expands the scope to cover more design pattern categories. Gain insights into creational, structural, behavioral, architectural, and other important patterns for modern software design, such as concurrency, asynchronous, and performance patterns. Learn how to apply these patterns in various domains like event handling systems, concurrency, distributed systems, and testing. The book also presents Python anti-patterns, helping you avoid common pitfalls.

Whether you’re developing user interfaces, web applications, APIs, data pipelines, or AI models, this book equips you with the knowledge to build robust and maintainable software.

This book adopts a hands-on approach, providing code examples for each design pattern. Each chapter includes step-by-step instructions to test the code, making it an interactive learning experience. Where applicable, for each design principle or pattern, the book presents at least one real-world example, which may or may not be Python-based, and at least one Python-based example.