5. Oops

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1️⃣ Basics of OOP

Term	Meaning
Class	Blueprint
Object	Instance of class my_car = Car()
Attribute	Variable of object
Method	Function of object
__init__()	Automatically called when an object is created. init attributes
self	refers to the current object

class Student: # -> Class
    def __init__(self, name, marks): # -> Constructor
        self.name = name  # -> Attributes
        self.marks = marks
 
    def display(self): # -> Methods always take `self` as the first parameter.
        print("Name:", self.name)
        print("Marks:", self.marks)
 
s1 = Student("Om", 85)
s1.display()

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2️⃣ Encapsulation

• Bundling data (variables) and methods (functions) together
• Restricting direct access to some data

Type	Syntax	Meaning
Public	name	👉 Accessible everywhere
Protected	_name	👉 Should be used inside class & subclasses. 👉 “it’s accessible but don’t touch unless you know what you’re doing”
Private	__name	👉 Not accessible directly outside class 👉 “it’s accessible but don’t touch unless you know what you’re doing” 👉 possible with __attribute → _ClassName__attribute

• Python philosophy that “We are all consenting adults here” which basically means that programmers are given a lot of freedom when it comes to overriding functions and variables, even built-in ones, and that it’s up to the user to use this power responsibly.

class Employee:
 
    def __init__(self, name, salary, department):
 
        # Public attribute
        self.name = name
 
        # Protected attribute (convention-based)
        self._department = department
 
        # Private attribute
        self.__salary = salary 
 
    # Getter (read-only access)
    def get_salary(self):
        return self.__salary
 
    # Setter (controlled write access)
    def set_salary(self, amount):
        if amount < 0:
            print("❌ Salary cannot be negative")
        else:
            self.__salary = amount
 
    # Method using private data
    def show_salary(self):
        print("Salary:", self.__salary)
 
    # Business logic method
    def increment_salary(self, percent):
        if percent <= 0:
            print("❌ Increment must be positive")
        else:
            self.__salary += self.__salary * percent / 100
 
    # Method using protected data
    def show_department(self):
        print("Department:", self._department)
 
 
emp = Employee("Om", 50000, "Engineering")
 
# ✅ Public access
print(emp.name)
 
# ⚠️ Protected access (allowed but discouraged outside class)
print(emp._department)
 
# ❌ Private access (should NOT be done)
# print(emp.__salary)
# print(emp._Employee__salary)
 
 
# ✅ Controlled access
print(emp.get_salary())
 
emp.set_salary(55000)
emp.show_salary()
 
emp.increment_salary(10)
emp.show_salary()
 
emp.show_department()

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3️⃣ Inheritance

• Reusing existing class functionality
• Parent (base) and Child (derived) classes
• super() keyword
• Types of inheritance:
  • Single
  • Multiple
  • Multilevel
  • Hierarchical

class Employee(Person):
    def work(self):
        print("Working...")

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4️⃣ Polymorphism

• Same method name, different behavior
• Method overriding
• Operator overloading
• Duck typing

class Dog:
    def speak(self):
        print("Bark")
 
class Cat:
    def speak(self):
        print("Meow")

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5️⃣ Abstraction

• Hiding implementation details
• Using abc module
• Abstract Base Classes (ABC)
• @abstractmethod

from abc import ABC, abstractmethod
 
class Shape(ABC):
    @abstractmethod
    def area(self):
        pass

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6️⃣ Special (Magic / Dunder) Methods

• __str__(), __repr__()
• __len__()
• __add__(), __eq__()
• __del__()

def __str__(self):
    return self.name

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7️⃣ Class Variables vs Instance Variables

Type	Shared	Example
Instance variable	❌	self.name
Class variable	✅	company_name

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8️⃣ Static Methods and Class Methods

• @staticmethod
• @classmethod
• cls keyword

class Math:
    @staticmethod
    def add(a, b):
        return a + b

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9️⃣ Composition and Aggregation

• Composition: Strong “has-a” relationship
• Aggregation: Weak “has-a” relationship

class Engine:
    pass
 
class Car:
    def __init__(self):
        self.engine = Engine()

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🔟 Multiple Inheritance and MRO

• Multiple parents
• Method Resolution Order (MRO)
• ClassName.mro()

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1️⃣1️⃣ Object Lifecycle

• Object creation
• Garbage collection
• __del__() destructor

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1️⃣2️⃣ Advanced OOP Concepts

• Mixins
• Metaclasses (advanced)
• Data classes (@dataclass)
• Slots (__slots__)
• Design patterns (Singleton, Factory, etc.)

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📌 Summary Table

Concept	Purpose
Encapsulation	Data hiding
Inheritance	Code reuse
Polymorphism	Same interface, different behavior
Abstraction	Hide complexity

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If you want, I can also:

• 📘 Create a learning roadmap
• 🧠 Give interview questions
• 💻 Provide real-world Python examples
• 🔥 Compare Python OOP vs Java OOP

Just tell me 👍

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