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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