How can polymorphism be achieved in Python?

Polymorphism in Python can be effectively achieved through method overriding and interfaces. This concept allows objects of different classes to be treated as objects of a common superclass, focusing on the methods or features they implement rather than their specific class types.

Method overriding occurs when a subclass provides a specific implementation of a method that is already defined in its superclass. When a method is called on an object, Python determines which method to execute based on the object's class, allowing for different behaviors based on the actual object type, even if they are referred to through the same interface or base class. This dynamic method resolution is integral to achieving polymorphism.

Additionally, interfaces, while not strictly enforced in Python like in some other languages, can be represented using abstract base classes (ABCs) from the abc module. By defining methods in an ABC, subclasses can implement these methods in their own ways, thus promoting polymorphic behavior through a consistent interface.

This flexibility enables developers to write more generic and reusable code, as they can work with interfaces or parent classes without needing to know the specific details of each individual subclass.

Options that suggest polymorphism relies solely on inheritance, static typing, or global variables reflect misunderstandings of the concept. While inheritance plays a role, it is