Python Object-Oriented
Programming Concepts
Theory and Programs
By Janakiraman MCA
Object-Oriented Programming
(OOP)
• OOP is a programming paradigm based on the
concept of 'objects'.
• Objects contain both data and methods that
operate on the data.
• Advantages: Modularity, Reusability, Security,
Maintainability.
• Key Principles: Encapsulation, Abstraction,
Inheritance, Polymorphism.
Abstract Data Types (ADT)
• An Abstract Data Type defines a data structure
in terms of its behavior.
• It hides implementation details and exposes
only essential operations.
• Example: Stack, Queue, List are ADTs.
• Python Example:
• class Stack:
• def __init__(self):
• self.items = []
Classes and Objects
• Class: Blueprint for creating objects.
• Object: Instance of a class containing data and
methods.
• Python Example:
• class Student:
• def __init__(self, name, rollno):
• self.name = name
• self.rollno = rollno
• def display(self):
Encapsulation and Data
Abstraction
• Encapsulation: Binding data and methods
together into a single unit (class).
• Abstraction: Hiding internal implementation
details and showing only functionality.
• Python Example:
• class BankAccount:
• def __init__(self, balance):
• self.__balance = balance
• def deposit(self, amount):
Inheritance
• Inheritance allows one class to acquire
properties and behavior of another class.
• It promotes code reusability and extensibility.
• Types: Single, Multiple, Multilevel,
Hierarchical, Hybrid.
• Python Example:
• class Animal:
• def speak(self):
• print('Animal speaks')
Namespace and Object Orientation
• Namespace: A container that holds identifiers
(variables, functions, classes).
• It ensures unique names and avoids conflicts.
• Object Orientation: Everything in Python is an
object, even functions and classes.
• Python Example:
• x = 10
• print(type(x))
Conclusion
• OOP organizes programs into reusable and
maintainable components.
• Abstraction and encapsulation improve
security and structure.
• Inheritance and polymorphism support code
reusability.
• Python provides a fully object-oriented
approach to programming.

MC25104 - Data structures and algorithms using python Python_OOP_Theory_and_Programs.pptx

  • 1.
  • 2.
    Object-Oriented Programming (OOP) • OOPis a programming paradigm based on the concept of 'objects'. • Objects contain both data and methods that operate on the data. • Advantages: Modularity, Reusability, Security, Maintainability. • Key Principles: Encapsulation, Abstraction, Inheritance, Polymorphism.
  • 3.
    Abstract Data Types(ADT) • An Abstract Data Type defines a data structure in terms of its behavior. • It hides implementation details and exposes only essential operations. • Example: Stack, Queue, List are ADTs. • Python Example: • class Stack: • def __init__(self): • self.items = []
  • 4.
    Classes and Objects •Class: Blueprint for creating objects. • Object: Instance of a class containing data and methods. • Python Example: • class Student: • def __init__(self, name, rollno): • self.name = name • self.rollno = rollno • def display(self):
  • 5.
    Encapsulation and Data Abstraction •Encapsulation: Binding data and methods together into a single unit (class). • Abstraction: Hiding internal implementation details and showing only functionality. • Python Example: • class BankAccount: • def __init__(self, balance): • self.__balance = balance • def deposit(self, amount):
  • 6.
    Inheritance • Inheritance allowsone class to acquire properties and behavior of another class. • It promotes code reusability and extensibility. • Types: Single, Multiple, Multilevel, Hierarchical, Hybrid. • Python Example: • class Animal: • def speak(self): • print('Animal speaks')
  • 7.
    Namespace and ObjectOrientation • Namespace: A container that holds identifiers (variables, functions, classes). • It ensures unique names and avoids conflicts. • Object Orientation: Everything in Python is an object, even functions and classes. • Python Example: • x = 10 • print(type(x))
  • 8.
    Conclusion • OOP organizesprograms into reusable and maintainable components. • Abstraction and encapsulation improve security and structure. • Inheritance and polymorphism support code reusability. • Python provides a fully object-oriented approach to programming.