oop-design-patterns-in-python

Dynamically add behaviors to objects without inheritance. We’ll distinguish between the GoF structural pattern and Python’s powerful @decorator syntax for logging and caching.

Make incompatible interfaces work together seamlessly. Learn how to act as a translator between legacy code and new systems, allowing disparate objects to collaborate.

Object creation can be costly. We’ll cover how to use Python’s copy and deepcopy to clone existing objects, bypassing expensive initializations for better performance.

Stop drowning in massive __init__ methods. Learn to construct complex objects step-by-step, keeping code readable while handling dozens of optional configuration parameters.

Need to create families of related objects? Explore how to enforce consistency across dependent objects without specifying concrete classes, perfect for UI themes or cross-platform tools.

Decouple object creation from the code that uses it. Discover how to delegate instantiation to subclasses, making your systems more adaptable to new data types.

Sometimes, there can be only one. Learn how to restrict instantiation to a single object, and explore the "Borg" idiom and Pythonic module-level singletons for global state management.

Visualize your software before you build it. Learn to read and sketch Class and Sequence diagrams, bridging the gap between conceptual architecture and actual Python code.

Write code that is easy to scale and maintain. We'll decode the five pillars of object-oriented design—from Single Responsibility to Dependency Inversion—ensuring your system remains robust.

Python lacks strict interfaces, but we can enforce them! Discover how to use Abstract Base Classes (ABCs) and Protocols to define clear architectural contracts for your objects.