OOP Beyond the Basics: Using Properties for Encapsulation, Computation and Refactoring

The article explores the use of the property decorator in Python, demonstrated through the creation of a simple Account class. It highlights the advantages of properties in object-oriented programming, particularly in managing computed attributes and encapsulation. The author explains how properties allow for the control of attribute access, enforcing constraints such as type and value limits, with examples of setting and modifying a start balance. The use of property decorators enables attributes to be computed on demand, enhancing efficiency, especially when external resources are involved. The text also underscores the Pythonic approach to getters and setters, advocating for the use of property decorators over traditional methods, and suggests exploring other use cases such as caching and refactoring. The author encourages readers to experiment with property decorators and share their experiences, hinting at potential collaborative challenges to explore their application further.