Chapter 1, Foundational Design Principles, covers principles of encapsulation, composition, programming to interfaces, and loose coupling to help you create more adaptable and maintainable systems.

Chapter 2, SOLID Principles, Provides guidelines for designing robust, maintainable, and scalable software. Each of these principles contributes to creating clean and adaptable code.

Chapter 3, Creational Design Patterns, explores patterns that help manage object creation by controlling which classes to instantiate.

Chapter 4, Structural Design Patterns, provides insights into patterns that facilitate the design process by identifying simple ways to establish relationships between entities. This chapter delves into six essential structural patterns, providing you with the skills to structure your code efficiently and elegantly.

Chapter 5, Behavioral Design Patterns, shares patterns that focus on the interactions and responsibilities of objects, promoting effective communication and flexible assignment of responsibilities. This chapter explores key patterns such as Strategy, Observer, and Command, demonstrating how they streamline object collaboration and enhance the adaptability of code.

Chapter 6, Architectural Design Patterns, delves into patterns that provide templates for solving common architectural problems, facilitating the development of scalable, maintainable, and reusable systems.

Chapter 7, Concurrency and Asynchronous Patterns, explores patterns that help you develop applications that are both fast and user-friendly, particularly in environments with heavy I/O operations or significant computational work.

Chapter 8, Performance Patterns, provides guidance on patterns that address common bottlenecks and optimization challenges, offering proven methodologies to improve execution time, reduce memory usage, and scale effectively.

Chapter 9, Distributed Systems Patterns, shows patterns that empower developers to architect robust distributed systems, from managing communication between nodes to ensuring fault tolerance and consistency.

Chapter 10, Patterns for Testing, presents patterns that help in isolating components, making tests more reliable, and promoting code reusability.

Chapter 11, Python Anti-Patterns, explores common programming practices that, while not necessarily wrong, often lead to less efficient, less readable, and/or less maintainable code. You will learn to understand and avoid these pitfalls.