Design patterns are reusable solutions to common problems in software design. In Python, they help create flexible, maintainable code by providing standardized approaches to object-oriented programming challenges. Let's explore some key patterns and their applications!
🧩 Common Design Patterns in Python
Singleton Pattern
Ensures a class has only one instance and provides a global point of access to it.Factory Pattern
Decouples object creation from usage, making code more modular.Observer Pattern
Enables real-time updates when objects change state.Decorator Pattern
Adds functionality to objects dynamically without modifying their structure.
📚 When to Use Each Pattern
- Singleton: For managing shared resources like database connections.
- Factory: When creating objects requires complex logic or configuration.
- Observer: In event-driven systems or UI frameworks.
- Decorator: To extend functionality in a flexible way (e.g., logging, caching).
For deeper insights, check our Python Advanced Topics series!