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:
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 might be Python-based or not, and then at least one Python-based example.
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
