django-patterns

A scalable Django project structure uses an opinionated directory layout with split settings for dev, prod, and test environments. This establishes a maintainable foundation by separating configuration and application logic from day one.

Preventing N+1 queries in the Django ORM involves using specific query patterns and custom manager methods. Performance optimization techniques like database indexing and bulk operations are recommended to reduce redundant database access.

Separating business logic from views in Django REST Framework is achieved by implementing a service layer. This pattern isolates complex operations from serializers and ViewSets, ensuring API endpoints remain maintainable.

A custom user model in Django is needed when default authentication fields are insufficient for your application. Model design best practices recommend defining it early to prevent database migration issues later.

Implementing caching strategies for Django web applications involves view, fragment, and low-level caching. These patterns reduce database load and improve response times for frequently accessed data.

These Django development patterns rely on standard framework components and Django REST Framework without requiring external dependencies. The focus is on architectural design using built-in tools like signals and middleware.