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Showing posts from July, 2025

🌀 Day 20: Polymorphism in Python — One Face, Many Roles

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“Polymorphism is the art of doing different things... the same way.” Think about a person. At home, they’re a parent , at work a developer , at the gym a trainer , and in traffic a driver . Same person, different roles — this is Polymorphism. In Python and OOP, polymorphism allows you to write code that works across different types, as long as they follow the expected behavior.                                                     🧠 What is Polymorphism? Polymorphism means “many forms” . In Python, it lets us use the same method name across different classes — and each class handles it in its own way. This makes your code flexible, reusable, and elegant. 🎭 Real-life Analogy Think of the + symbol: 2 + 3 → Adds numbers "Hello" + " World" → Joins strings [1, 2] + [3, 4] → Combines lists Same operator, multiple ...

👨‍👦 Day 19: Inheritance in Python — Reusing Power, the Smart Way

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  “Why build everything from scratch, when you can inherit what already works?” Have you ever noticed how kids inherit traits from their parents — like curly hair, eye color, or even a bad joke habit? 😅 Similarly, in Python, classes can inherit properties and behaviors from other classes. This makes our code reusable , organized , and scalable . Let’s break it down with real-life examples and clean code. 🧠                                                        🌳 What is Inheritance? Inheritance allows a class (child class) to use the properties and methods of another class (parent class). This avoids repetition and promotes cleaner code. 🧱 Parent and Child Classes Here’s a simple example:                               ...

🔒 Day 18: Encapsulation in Python – Keep It Safe, Keep It Clean

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  Imagine you’re using an ATM. You insert your card, enter your PIN, and withdraw money. But do you ever get to see how the system processes the transaction internally? Nope. That’s encapsulation in action. In Python, encapsulation means hiding internal details and only exposing what is necessary . It’s a core concept of object-oriented programming and helps make your code more secure and easy to manage.                                                             🎁 The Core Idea Encapsulation allows you to bundle data (variables) and behavior (methods) together inside a class, and restrict access to some parts of it. 🧠 In Simple Words: You can hide the internal state of an object from the outside world. You only allow controlled access via methods. 📦 Example: Without Encapsulation ...

🧱 Day 17: Constructors in Python — The First Brick of Every Object

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 In our previous blogs, we’ve seen how classes and objects work in Python. But when you create an object, have you ever wondered how it knows what to start with? That’s where constructors come in. A constructor is a special method in Python used to initialize the state of an object when it is created.                                                🚪 Meet the __init__() Method In Python, the constructor method is called __init__() . This method runs automatically whenever you create an object of a class.                                                        Output:                       ...

🧱 Day-16: Classes and Objects in Python

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  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: Class = Plan 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 writ...

🐍 Day 15: Introduction to Object-Oriented Programming (OOP) in Python

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 📌 Introduction Up until now, we’ve explored variables, data types, loops, functions, and more — all the essential building blocks of Python programming. But as programs grow larger and more complex, there comes a point where organizing and managing code efficiently becomes a real challenge. This is where Object-Oriented Programming (OOP) shines. It's a programming approach that helps structure your code in a more reusable, maintainable, and logical way — by modeling it around real-world "objects."                                             🧠 What is Object-Oriented Programming? Object-Oriented Programming is a style of programming that organizes code using objects and classes . A class is a blueprint — like a recipe. An object is the actual thing created from that recipe. Think of a class as the blueprint for a car. It defines what prop...

🐍 Day 14: Exception Handling in Python

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  📌 Introduction In real-world applications, things don’t always go as expected. A file might be missing, users might enter invalid input, or a network call may fail. Python provides exception handling to manage such unexpected events gracefully — without crashing the program.                                                        💥 What is an Exception? An exception is an error that occurs during the execution of a program, disrupting its normal flow. ✅ Why Use Exception Handling? To avoid abrupt crashes To provide meaningful error messages To handle different errors specifically To improve user experience 🔁 try-except Block                               Syntax:           Example...