In the rapidly evolving tech industry, software applications struggle to keep pace with changing business needs, leaving developers grappling with complex codebases that resist change, ultimately reducing productivity and increasing technical debt. Clean Architecture with Python offers a powerful approach to address these challenges. Drawing from his extensive experience architecting cloud-native systems, Sam Keen helps you transform complex architectural challenges into digestible, implementable solutions.
This book teaches essential principles for effective development, emphasizing the Pythonic implementation of clean architecture. Through practical examples, you'll learn how to create modular, loosely coupled systems that are easy to understand, modify, and extend. The book covers key concepts such as the dependency rule, separation of concerns, and domain modeling, all tailored for Python development.
By the end of this book, you'll be able to apply clean architecture principles effectively in your Python projects. Whether you're building new systems or managing existing ones, you'll have the skills to create more maintainable and adaptable applications. This approach will enhance your ability to respond to changing requirements, setting you up for long-term success in your development career.

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Spis treści

Clean Architecture with Python. Implement scalable and maintainable applications using proven architectural principles eBook -- spis treści

• 1. Clean Architecture Essentials: Transforming Python Development
• 2. SOLID Foundations: Building Robust Python Applications
• 3. Type-Enhanced Python: Strengthening Clean Architecture
• 4. Domain-Driven Design: Crafting the Core Business Logic
• 5. The Application Layer: Orchestrating Use Cases
• 6. The Interface Adapters Layer: Controllers and Presenters
• 7. The Frameworks and Drivers Layer: External Interfaces
• 8. Implementing Test Patterns with Clean Architecture
• 9. Adding Web UI: Clean Architecture's Interface Flexibility
• 10. Implementing Clean Architecture Observability: Monitoring and Verification
• 11. Legacy to Clean: Refactoring Python for Maintainability
• 12. Your Clean Architecture Journey: Next Steps