Properties are used to manage attribute access from "summary" of Fluent Python by Luciano Ramalho
Properties in Python are a way to control access to attributes. They enable you to implement getter and setter methods in a more concise and readable manner. By using properties, you can define special methods that will be called when an attribute is accessed, assigned, or deleted. This allows you to add custom behavior to attribute access without changing the class interface. In Python, properties are created by decorating methods with the `@property` decorator. This decorator turns a getter method into a read-only attribute. If you want to create a property with both getter and setter methods, you can use the `@property` decorator along with the `@<property_name>. setter` decorator. Using properties can make your code more maintainable and easier to understand. By encapsulating attribute access within properties, you can hide implementation details and protect the class from unexpected changes. Properties also provide a way to validate input data before setting an attribute, ensuring that the object remains in a valid state. In the context of object-oriented programming, properties play a crucial role in defining the interface of a class. They allow you to expose attributes to the outside world while controlling how they are accessed and modified. By using properties, you can enforce data encapsulation and ensure that the class behaves as expected in different scenarios.- Properties are a powerful tool in Python that can help you manage attribute access effectively. By using properties, you can define getter and setter methods that add custom behavior to attribute access, making your code more robust and maintainable. Properties are a key feature of Python that can enhance the design and usability of your classes.
