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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

Adapting Clean Architecture across system types

Clean Architecture has proven its value through our task management system implementation. Now let’s explore how these same principles adapt to different architectural contexts. Rather than rigid application of patterns, we’ll focus on how Clean Architecture’s core tenets—the Dependency Rule, clear boundaries, and separation of concerns—can be tailored to these specialized domains while maintaining architectural integrity.

Clean Architecture in API systems

Pure API systems present a fundamental architectural shift compared to our task management application. In our previous implementation of the task application, we created an internal API through our controllers and request/response models, but these were only consumed by presentation layers we controlled completely (CLI and web UI). This gave us significant freedom to modify these interfaces, since we could simultaneously update both sides...

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Clean Architecture with Python
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