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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
5
Part 2: Implementing Clean Architecture in Python
11
Part 3: Applying Clean Architecture in Python
16
Other Books You May Enjoy
17
Index

Summary

In this chapter, we introduced Clean Architecture at a high level and its relevance to Python development. We gave you context by exploring the evolution of software architecture, from Waterfall to Agile, highlighting persistent challenges in managing complexity, accommodating change, and maintaining long-term productivity.

We introduced Clean Architecture’s core principles:

  • Separation of concerns (SoC)
  • Independence of external details
  • Testability and maintainability

We examined Clean Architecture’s general structure, from core entities and use cases to outer layers of interface adapters, frameworks, and drivers, emphasizing how this structure promotes maintainability and flexibility. We discussed the benefits of Clean Architecture, including improved adaptability, enhanced testability, and long-term development agility, and how it complements modern development practices such as Agile and DevOps.

Furthermore, we explored...

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Clean Architecture with Python
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