django-patterns

A scalable Django project structure separates environments by splitting settings for development, production, and testing, while organizing models and views to ensure maintainable web services.

Preventing N+1 queries in the Django ORM involves using database indexing, select_related, and prefetch_related techniques to optimize query execution and improve application performance.

Django REST Framework configuration involves defining serializers for data conversion and implementing ViewSets with custom actions to structure API endpoints and handle request processing.

Custom QuerySets and Managers are needed in Django models to encapsulate reusable database query logic, ensuring clean architecture and consistent data retrieval patterns across the application.

Django caching strategies range from view-level caching to low-level cache APIs, allowing developers to store expensive computation results and significantly reduce database query load.

Django signals enable event-driven logic by decoupling application components through notifications, while middleware handles request and response processing for global application behavior.