Are you ready for an exciting Python journey? Today's destination is Encapsulation, a pillar of OOP. Encapsulation bundles related data and methods — much like yolk and egg white are nestled inside an eggshell—within the framework of a class. This lesson will help us understand encapsulation's roles, cover public and private variables, explain getters and setters, and reveal how encapsulation hides implementation details.

Encapsulation harmonizes related variables and functions, protecting them from unauthorized external access. Take a car, for instance — it's an elaborate piece of machinery (data) controlled by various user-friendly gadgets (methods). In Python, an object bundles class variables and functions, thus providing efficient data manipulation and masking complexity.

Classes hosted in Python have variables and methods. Variables, such as the color or model of a car class, can either be public (accessible everywhere) or private (hidden).

__gear_box_type is a private variable, you can mention it by the two underscores (__) at the beginning of its name. To access or modify it, we use getters and setters, which we will discuss in the next section of this lesson.

Getters retrieve attribute values, while setters assign values to them. They protect data from unauthorized changes.

Observe a simple class, Car, which has a private variable, :