Clean Architecture for Python Data Products

1. 1Apply the principles of Clean Architecture to your Python project
2. 2Separate the application's business logic from its infrastructure using layers
3. 3Use dependency injection to manage dependencies between layers
4. 4Implement a repository pattern to abstract data storage and retrieval
5. 5Test the architecture using mock objects and integration tests

Data engineers and software engineers on a team can benefit from this approach to build scalable and maintainable data products

💡 Clean Architecture helps to separate concerns and reduce coupling in Python systems

🚀 Scale your Python data products with Clean Architecture! 🚀