Python - OOP Fundamentals

07-Jan-2024

Explore the fundamentals of Object-Oriented Programming in Python. Learn about classes, objects, inheritance, and polymorphism, empowering you to build structured and scalable Python applications.

Introduction

Object-Oriented Programming (OOP) stands as a cornerstone paradigm in Python, enabling the creation and organization of code through the interplay of classes and objects. This documentation provides an in-depth exploration of fundamental OOP principles and practices in the context of a virtual library.

1. Creating a Class

Consider a Python class modeling a Book entity within the vast expanse of a digital library:


# Example: Creating a Book Class
class Book: def init(self, title, author, pages): self.title = title self.author = author self.pages = pages



2. Attributes and Methods

Attributes capture the essence of an object, while methods encapsulate functionalities within the realm of literature:


# Accessing attributes and invoking methods
my_book = Book("The Enigmatic Codex", "J. Python", 300)
print(my_book.title) # Accessing attribute


3. Instantiation

Witness the birth of a literary masterpiece as a class is instantiated, giving life to a specific book :


# Example: Instantiating a Book
another_book = Book("Pythonic Chronicles", "A. Programmer", 250)


4. Inheritance

Extend the library metaphor by introducing a subclass for eBooks, inheriting the attributes of a Book:


# Example: Inheritance for eBooks
class EBook(Book): def init(self, title, author, pages, file_format) : super().init(title, author, pages) self.file_format = file_format



5. Encapsulation

Imagine the security and order within a virtual library maintained through encapsulation :


# Example: Encapsulation in a Virtual Library
class VirtualLibrary: def init(self):
self.__book_collection = [] # Private attribute

def add_book(self, book):
self.__book_collection.append(book)
def get_book_collection(self): return self.__book_collection


Conclusion

Mastering the fundamentals of OOP in Python opens the door to elegant and scalable solutions. This documentation introduces key concepts through the lens of a virtual library, showcasing the adaptability and power of OOP.




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