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Encapsulation is a fundamental principle in object-oriented programming (OOP) that involves bundling data (attributes) and methods (functions) that operate on the data within a single unit called a class. Encapsulation allows for better control and management of the data by restricting access to the data and only exposing functionalities through well-defined interfaces. This is done by using access modifiers, such as 'public', 'private', and 'protected'.

The main purpose of encapsulation is to achieve abstraction and hide the internal workings of a class from other code sections. This provides several benefits, including: 1. Increased modularity: Encapsulation helps in logically organizing related data and functionality within a single unit, making the code modular. 2. Code maintainability: Having a single point of access to data and methods simplifies code modifications and bug fixes, improving code maintainability. 3. Enhance security: By restricting access to sensitive data, encapsulation helps to prevent unauthorized manipulation or modification of data, enhancing security.

To illustrate encapsulation, consider a simple example using Python. Here's a class called 'Person': ```python class Person: def __init__(self, name, age): self.__name = name self.__age = age def get_name(self): return self.__name def get_age(self): return self.__age def set_name(self, name): self.__name = name def set_age(self, age): if age > 0: self.__age = age else: raise ValueError("Age cannot be negative.") ``` In this example, encapsulation is achieved by: 1. Defining 'name' and 'age' as private attributes (using a double underscore prefix). 2. Restricting direct access to these attributes from outside the 'Person' class. 3. Providing public methods (getters and setters) for accessing and modifying the values of these attributes.