The document explains encapsulation, a fundamental principle of object-oriented programming that restricts access to an object's components to protect data. It describes how encapsulation is implemented in Python using private and protected attributes and highlights the benefits of data protection and maintainability. The presentation aims to inform the reader about the significance of encapsulation and its practical implementation.

1. U N D E R S T A N D I N G T H E C O N C E P T A N D I T S I M P L E M E N T A T I O N
BY: O. VENKATESH

2. INTRODUCTION
Encapsulation is one of the fundamental
principles of Object-Oriented
Programming(OOP).
It resticts direct access to some of an
object’s components and can prevent
modification of data.
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3. Encapsulation
in python
Private Attributes: “In Python, we use a single underscore _ for protected
attributes and a double undercore __ for private attributes, which are meant
to be used within the class only.”
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4. BENEFITS OF ENCAPSULATION
Data Protection: “Encapsulation keeps the data
safe from outside interference and misuse. Only
authorized methods can modify it.”
Maintainability: “Encapsulated code is easier to
maintain and modify because changes are limited
to specific parts of the code.”
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5. SUMMARY
Encapsulation and its importance.
How to implement encapsulation in Python.
Use of private attributes and methods.
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6. “ T H A N K Y O U F O R Y O U R A T T E N T I O N . I H O P E
Y O U F O U N D T H I S P R E S E N T A T I O N O N
E N C A P S U L A T I O N I N F R O M A T I V E A N D U S E F U L ”
thank you