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Object-Oriented Programming (OOP) revolves around four primary pillars: inheritance, encapsulation, polymorphism, and abstraction. Among these, inheritance and encapsulation play vital roles in organizing code structures, fostering reusability, maintaining program integrity, and securing sensitive data.
This article explores inheritance and encapsulation in Python, delving into best practices, advantages, limitations, and illustrative examples.
What is Inheritance?
Inheritance refers to the capability of deriving a new class (subclass) from an existing class (base class), thereby enabling automatic acquisition of attributes and methods from the latter. Subclasses can further expand or refine inherited functionalities to suit their requirements while retaining essential aspects defined in the base class.
Consequently, inheritance promotes code reusability, minimizes redundancy, and establishes clear hierarchical relationships among related objects.
