Design Patterns in Python: Elegant Solutions

Learning Objectives: After this lesson, you'll implement classic design patterns the Pythonic way, understand when to use each pattern, and build flexible, maintainable code using Factory, Strategy, Observer, Decorator, and Dependency Injection patterns.

Why Design Patterns?

Design patterns are reusable solutions to common programming problems.

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Patterns in Python

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Creational Patterns

Factory Pattern

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Singleton Pattern

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Builder Pattern

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Behavioral Patterns

Strategy Pattern

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Observer Pattern

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Command Pattern

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Structural Patterns

Decorator Pattern (Structural)

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Adapter Pattern

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Dependency Injection

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Practice Exercises

Exercise 1: Plugin System

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Exercise 2: State Machine

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Key Takeaways

PatternUse When
FactoryCreate objects without specifying exact class
SingletonEnsure only one instance exists
BuilderConstruct complex objects step by step
StrategySelect algorithms at runtime
ObserverOne-to-many notifications
CommandEncapsulate actions as objects (undo/redo)
DecoratorAdd behavior dynamically
AdapterMake incompatible interfaces work together
DIDecouple dependencies for testing

Pythonic Alternatives

TraditionalPythonic
Strategy classFunction or lambda
Factory classFactory function
Singleton classModule-level instance
Iterator classGenerator function
Decorator class@decorator function

Next Steps

In the next lesson, we'll explore Packaging and Distribution—modern Python packaging with pyproject.toml, dependency management, and publishing to PyPI.


Ready to ship your code? Packaging awaits!