🧱 Day-16: Classes and Objects in Python
In the previous blog, we stepped into the world of Object-Oriented Programming (OOP) — the mindset shift where we stop writing just functions and start thinking in terms of real-world objects.
Now it’s time to meet the two stars of OOP: Classes and Objects.
🔹 What is a Class?
Think of a class as a blueprint — like a house plan. It doesn’t build anything by itself, but it tells how a house should look: how many rooms, what kind of walls, how the windows are placed.
In code, a class defines how our objects should behave — what data (attributes) they have, and what they can do (methods).
🔸 What is an Object?
An object is an actual house built from the blueprint. Using the class, we create multiple objects — each with their own data.
So:
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Class = Plan
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Object = Real thing
Simple enough? Let’s go deeper.
🧠 Real-life Example
Imagine you’re designing a car game.
You’ll have many cars — each with color, speed, fuel, and they can all drive or stop.
Instead of writing separate logic for every car, you define a class Car and then create different car objects from it.
🔧 Syntax Time!
Each object (car1, car2) behaves the same way but can be extended to hold different properties later.
💡 Key Points:
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A class is just a definition; it doesn't do anything until objects are created.
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You can create multiple objects from the same class.
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Each object gets its own memory space.
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Objects use dot
.notation to access class methods.
🔍 Behind the Scenes (Little Deeper)
When you create an object with car1 = Car(), Python allocates memory and internally links it to the Car class. So even though the logic lives inside the class, every object has its own identity.
🎯 What’s Next?
We’ve just built the skeleton.
Tomorrow, we’ll start giving life to our objects — by adding attributes using something called __init__ (constructor). Get ready to meet self — the most loyal keyword in Python OOP.
Keep this in Mind:
"A class defines the idea. An object brings it to life."
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