Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Clean Architecture with Python
  • Table Of Contents Toc
  • Feedback & Rating feedback
Clean Architecture with Python

Clean Architecture with Python

By : Sam Keen
5 (1)
close
close
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)
close
close
Lock Free Chapter
1
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

Leveraging Python’s typing system

In the realm of Clean Architecture, the role of a robust type system extends far beyond simple error prevention. It serves as a powerful tool for expressing and enforcing architectural boundaries, supporting key principles such as abstraction, polymorphism, and dependency inversion. Python’s typing system, when leveraged effectively, becomes an invaluable asset in implementing these crucial concepts.

As we start to consider more advanced features of Python’s typing system, we’ll see how they can significantly enhance our Clean Architecture implementations. These features allow us to create more expressive and precise interfaces between different layers of our application, leading to code that is not only more robust but also more self-documenting and maintainable.

In this section, we’ll explore a range of typing features, from type aliases and union types to literal and TypedDict types. We’ll then...

Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Clean Architecture with Python
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon