10 Python Patterns, Part 9: The Specification Pattern in Django
Learn how to encapsulate business rules into reusable objects with the Specification Pattern in Django to simplify complex filtering and logic.
The archive
Learn how to encapsulate business rules into reusable objects with the Specification Pattern in Django to simplify complex filtering and logic.
Learn how to encapsulate business actions as objects to enable audit logging, undo functionality, and cleaner service layers.
Break down complex business processes into modular, testable stages using the Pipeline Pattern in Django.
Learn how to use the Mapper Pattern to decouple your business logic from Django ORM models using Pydantic or Data Classes to build testable, enterprise-grade apps.
Learn how to use the Repository Pattern in Django to isolate your database logic from business rules, making your codebase more modular, testable, and future-proof.
Stop hard-coding side effects. Learn how to use the Event-Driven Pattern with Django Signals and Celery to create a decoupled, reactive architecture that scales.
The Builder Pattern helps manage complex object creation without overloading models, views, or forms. In Django projects, it is especially useful when assembling objects from multiple inputs, conditional steps, or external data sources. This post shows how the Builder Pattern keeps creation logic ex
This post explains how the Strategy Pattern helps Django applications avoid large conditional blocks as business logic grows. Using a practical Django example with class-based views and services, it shows how to encapsulate interchangeable behaviors, keep code open for extension, and make new featur
This post introduces Dependency Injection as the first and most important pattern for building scalable Django applications. Using a practical, step-by-step example, it shows how to structure models, repositories, services, forms, and class-based views to reduce coupling, improve testability, and ke