convention-design-patterns

To implement the Factory pattern in Python, you centralize object creation logic in a separate class or method, decoupling the instantiation process from the client code that uses the objects. This promotes modular software architecture and reusable code.

Use the Strategy pattern when you need interchangeable algorithms at runtime without modifying the client logic. It defines a family of algorithms, encapsulates each one, and makes them interchangeable within your software architecture for flexible execution.

The Repository pattern abstracts data access by mediating between the domain and data mapping layers. This isolation promotes testability by allowing you to mock data sources easily, ensuring your business logic remains independent of database implementation details.

The best way to bridge incompatible interfaces is the Adapter pattern, which wraps an existing class with a new interface so it can collaborate with other components. This enables robust integration across services without altering the original codebase.

Yes, you can add responsibilities dynamically using the Decorator pattern. It attaches additional behaviors to objects by placing them inside special wrapper classes, preventing the need to modify the existing structure of your software architecture.

Yes, the Command pattern encapsulates a request as an object, which inherently supports queuing operations, logging requests, and implementing undo capabilities. This allows you to parameterize clients with different requests and manage execution flow.