💻 Technology & Computingintermediate

Clean Architecture in Python: Patterns, Principles, and Pythonic Design

Clean Architecture in Python: Patterns, Principles, and Pythonic Design

A comprehensive guide for working Python developers who want to move beyond writing code that merely works to writing code that lasts. This course bridges timeless software design principles—SOLID, Clean Architecture, classic design patterns—with the idioms, type system, and conventions that make Python unique. By the end, you will have a coherent mental model for structuring Python applications that are testable, maintainable, and a pleasure to change.

13 sections
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Course Content

1Why Architecture Matters: The Cost of Ignoring It2Pythonic Foundations: Writing Code That Reads Like English3Functions as the Unit of Design4Object-Oriented Design in Python: Classes Done Right5SOLID Principles: The Five Laws of Maintainable Object-Oriented Design6Python's Type System as an Architecture Tool: Protocols, ABCs, and Duck Typing7Classic Design Patterns in Pythonic Dress8Dependency Injection: Writing Code You Can Actually Test9Layered Architecture: Organising Code by Responsibility10Hexagonal Architecture: Ports, Adapters, and Keeping the Core Clean11The Domain Layer: Modelling Business Logic in Pure Python12Testing as an Architecture Concern13Refactoring Toward Clean Architecture: A Worked Example

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