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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

Understanding type awareness in Python’s dynamic environment

To fully appreciate Python’s type system, it’s important to distinguish between dynamically typed languages like Python and statically typed languages like Java or C++. In statically typed languages, variables have a fixed type that’s determined at compile time. Python, as a dynamically typed language, allows variables to change types during runtime, offering great flexibility but also introducing potential challenges. This dynamic typing is both a blessing and a challenge when implementing Clean Architecture. While it offers flexibility and rapid development, it can also lead to unclear interfaces and hidden dependencies, issues that Clean Architecture aims to address. In this section, we’ll explore how type awareness can enhance our Clean Architecture implementations without sacrificing Python’s dynamic nature.

Evolution of typing in Python

Python’s approach to typing...

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Clean Architecture with Python
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