7.1 SOLID Principles in Python
Understanding SOLID principles helps in writing cleaner and more maintainable code.
- Single Responsibility Principle
- Open/Closed Principle
- Liskov Substitution Principle
- Interface Segregation Principle
- Dependency Inversion Principle
7.2 Design Patterns
Common design patterns in Python include Singleton, Factory, Observer, and Decorator patterns. Python's dynamic nature often simplifies these implementations.
7.3 Microservices vs Monoliths
Choosing the right architecture. Python is popular for microservices due to lightweight frameworks like Flask and FastAPI.
7.4 Scalability Strategies
Techniques for scaling Python apps: Caching (Redis), Load Balancing, and Asynchronous processing (Celery).
🎯 Practical Exercise
Refactor a tightly coupled class structure to adhere to the Single Responsibility Principle.