LEARN COMPLETE PYTHON IN 24 HOURS

🟦 Table of Contents – Python OOP

🔹 1. Introduction to Object-Oriented Programming (OOP)

  • 1.1 What is OOP and Why Learn It?

  • 1.2 Real-World Examples – Class vs Object

  • 1.3 The 4 Pillars of OOP in Python

  • 1.4 Procedural vs Object-Oriented Programming

🔹 2. Classes and Objects – Basic Building Blocks

  • 2.1 Creating Classes

  • 2.2 Creating Objects

  • 2.3 The init Method and self Parameter

  • 2.4 Instance Variables vs Class Variables

  • 2.5 str and repr

🔹 3. Encapsulation – Data Hiding and Protection

  • 3.1 Public, Protected and Private Members

  • 3.2 Name Mangling

  • 3.3 @property, @setter, @deleter

🔹 4. Inheritance – Reusing Code

  • 4.1 Single Inheritance

  • 4.2 Using super()

  • 4.3 Method Overriding and Polymorphism

  • 4.4 Multiple Inheritance and MRO

🔹 5. Polymorphism – One Name, Different Behavior

  • 5.1 Method Overriding

  • 5.2 Operator Overloading

  • 5.3 Duck Typing

  • 5.4 Abstract Base Classes

🔹 6. Class Methods, Static Methods and Decorators

  • 6.1 @classmethod

  • 6.2 @staticmethod

  • 6.3 Alternative Constructors

  • 6.4 @property

🔹 7. Advanced OOP Concepts

  • 7.1 Composition vs Inheritance

  • 7.2 Data Classes (@dataclass)

  • 7.3 Magic Methods / Dunder Methods

  • 7.4 Metaclasses

🔹 8. Real-World OOP Projects & Best Practices

  • 8.1 Bank Account System

  • 8.2 Library Management System

  • 8.3 Employee Payroll System

  • 8.4 OOP Best Practices

🔹 9. Common Mistakes & Interview Preparation

  • 9.1 Common OOP Mistakes

  • 9.2 Python OOP Interview Questions

  • 9.3 Debugging OOP Code

🔹 10. Next Steps After Mastering OOP

  • 10.1 Design Patterns

  • 10.2 Decorators and Context Managers

  • 10.3 OOP in FastAPI / Django

  • 10.4 Resources

4. Inheritance – Reusing Code Like a Pro

Inheritance lets a child class (subclass/derived class) inherit attributes and methods from a parent class (superclass/base class). This promotes code reuse, reduces duplication, and models "is-a" relationships.

4.1 Single Inheritance – Parent-Child Relationship

Single inheritance means a child class inherits from exactly one parent class.

Basic syntax

Python

class Parent: def init(self, name): self.name = name def introduce(self): return f"Hi, I'm {self.name} (from Parent class)" class Child(Parent): # Child inherits from Parent def init(self, name, age): Parent.__init__(self, name) # call parent's init self.age = age def introduce(self): return f"Hi, I'm {self.name}, {self.age} years old (Child class)" # Create objects p = Parent("Rahul") c = Child("Anshuman", 25) print(p.introduce()) # Hi, I'm Rahul (from Parent class) print(c.introduce()) # Hi, I'm Anshuman, 25 years old (Child class) print(c.name) # Anshuman (inherited from Parent)

"is-a" relationship Child is a Parent → Child object can be used anywhere Parent is expected (polymorphism later).

4.2 Using super() Correctly

super() is the recommended way to call parent class methods — it works better with multiple inheritance and is cleaner.

Correct & modern way

Python

class Parent: def init(self, name): self.name = name print("Parent init called") class Child(Parent): def init(self, name, age): super().__init__(name) # calls Parent's init self.age = age print("Child init called") c = Child("Anshuman", 25) # Output: # Parent init called # Child init called

Benefits of super():

  • No hardcoding parent class name (good for multiple inheritance)

  • Works correctly in complex hierarchies

  • Cleaner and less error-prone

Old way (avoid in new code)

Python

Parent.__init__(self, name) # hardcodes parent name

Rule: Always use super() unless you have a very specific reason not to.

4.3 Method Overriding and Polymorphism

Method Overriding Child class redefines (overrides) a method from the parent class.

Polymorphism Same method name, different behavior depending on the object type. "One interface, multiple implementations"

Example

Python

class Animal: def speak(self): return "Some generic sound..." class Dog(Animal): def speak(self): return "Woof! Woof!" class Cat(Animal): def speak(self): return "Meow!" # Polymorphism in action animals = [Dog(), Cat(), Animal()] for animal in animals: print(animal.speak()) # Output: # Woof! Woof! # Meow! # Some generic sound...

Key benefit: You can write code that works with any Animal type without caring about the exact subclass.

4.4 Multiple Inheritance – Diamond Problem and Method Resolution Order (MRO)

Multiple inheritance means a class can inherit from more than one parent.

Example

Python

class Flyer: def fly(self): return "Flying high!" class Swimmer: def swim(self): return "Swimming fast!" class Duck(Flyer, Swimmer): # inherits from both def quack(self): return "Quack!" d = Duck() print(d.fly()) # Flying high! (from Flyer) print(d.swim()) # Swimming fast! (from Swimmer) print(d.quack()) # Quack!

The Diamond Problem When a class inherits from two classes that both inherit from the same grandparent — which version of the grandparent method is used?

Python

class A: def show(self): print("A") class B(A): def show(self): print("B") class C(A): def show(self): print("C") class D(B, C): # Diamond: B and C both inherit from A pass d = D() d.show() # Output: B

How Python solves it: Method Resolution Order (MRO) Python uses C3 linearization algorithm to decide the order.

Check MRO with:

Python

print(D.mro()) # [<class '__main__.D'>, <class '__main__.B'>, <class '__main__.C'>, <class '__main__.A'>, <class 'object'>]

Order: D → B → C → A → object So show() from B is used first.

Use super() in multiple inheritance

Python

class A: def show(self): print("A") class B(A): def show(self): super().show() print("B") class C(A): def show(self): super().show() print("C") class D(B, C): def show(self): super().show() print("D") d = D() d.show() # Output: # A # C # B # D

MRO ensures every parent is called exactly once in a predictable order.

Best practice for multiple inheritance:

  • Avoid deep/complex hierarchies

  • Prefer composition over multiple inheritance when possible

  • Always use super() — it respects MRO

Mini Summary Project – Vehicle Hierarchy

Python

class Vehicle: def init(self, brand): self.brand = brand def start(self): return f"{self.brand} engine started" class Car(Vehicle): def init(self, brand, doors=4): super().__init__(brand) self.doors = doors def start(self): return super().start() + " (car mode)" class ElectricCar(Car): def init(self, brand, battery_capacity): super().__init__(brand) self.battery_capacity = battery_capacity def start(self): return "Electric motor humming..." ec = ElectricCar("Tesla", 100) print(ec.start()) # Electric motor humming... print(ec.doors) # 4 (inherited)

This completes the full Inheritance – Reusing Code Like a Pro section — now you can build powerful class hierarchies and reuse code effectively!

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