In programming, as projects grow bigger, OOP comes in as the game-changer. It organizes code by grouping data and behavior into classes, making things cleaner, reusable, and easier to manage. Python makes this simple—for example, instead of tracking a car’s parts separately, a Car class handles it all. That’s why OOP is key: it reduces repetition, boosts readability, and keeps software scalable and robust.