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Clean Architecture with Python

Clean Architecture with Python

By : Sam Keen
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Clean Architecture with Python

Clean Architecture with Python

5 (1)
By: Sam Keen

Overview of this book

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.
Table of Contents (18 chapters)
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Part 1: Foundations of Clean Architecture in Python
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Part 2: Implementing Clean Architecture in Python
11
Part 3: Applying Clean Architecture in Python
16
Other Books You May Enjoy
17
Index

Legacy to Clean: Refactoring Python for Maintainability

While previous chapters demonstrated Clean Architecture principles through greenfield development, real-world systems often present a different challenge. Existing applications, built under time pressure or before architectural best practices were established, frequently violate Clean Architecture’s fundamental principles. Their domain logic becomes tangled with frameworks, business rules mix with infrastructure concerns, and dependencies flow in all directions. Yet these systems often serve critical business needs and cannot simply be replaced.

Through our exploration of Clean Architecture transformation, we’ll discover how to systematically evolve legacy systems while maintaining their business value. We’ll see how Clean Architecture’s explicit boundaries and dependency rules provide clear guidance for improving existing systems, even under real-world constraints. You’ll learn how to identify...

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Clean Architecture with Python
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