OOP Design Patterns in Python

Use the factory method to create objects with a static method that returns new instances based on a type. Extendability lets you add new classes to produce different object types.

Learn how to implement a queue pattern in Python 3, add objects with put, retrieve them with get, and understand fifo by default and lifo as an option.

Explore the command pattern for do and undo actions, track executed commands with a stack, and implement file operations like move and rename with undo support using the OS module.

Learn to implement the strategy pattern by selecting different methods or algorithms at object creation through a parameter, enabling dynamic behavior and flexible execution.

Learn how the singleton pattern ensures a class has only one instance, retrieved via get_instance, and prevents creating additional objects by returning the same instance and raising an error.

Explore the state design pattern in Python by modeling a computer with states such as on, off, hibernating, and suspended, using a superclass and a switch method to alter behavior.

The facade pattern acts as a wrapper that reduces complexity by coordinating subsystems like processor, memory, and disk, and initializes them so end users can use simple start methods.

Explore the template pattern by defining a base template class with methods that have no implementation, and implement those methods in concrete subclasses, enabling consistent workflows like pizza or spaghetti.

Explore how the Python iterator pattern enables data traversal using iter and next, stopping when items exhaust and stop iteration is raised.

discover how the prototype pattern avoids expensive initialization by cloning configured objects, using deep copy and a clone method to efficiently create multiple similar objects.