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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

Clean Architecture Essentials: Transforming Python Development

As Python developers, we apply best practices such as writing clean functions, using descriptive variable names, and striving for modularity. Yet, as our applications grow, we often struggle to maintain this clarity and adaptability at scale. Python’s simplicity and versatility make it popular for projects ranging from web development to data science, but these strengths can become challenges as applications become more complex. We find ourselves lacking a master plan, an overarching architecture to guide our decisions and keep our projects maintainable as they evolve. This is where Clean Architecture comes into play, offering a structured approach to building Python applications that balance planning and agility, providing the architectural guidance we need for sustainable, large-scale development.

Clean Architecture, introduced by Robert C. Martin in 2012 (https://blog.cleancoder.com/uncle-bob/2012/08/13/the...

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