Here’s a breakdown of the core concepts of OOP in Python:
1. Classes and Objects
- Class: A class is a blueprint or a template for creating objects. It defines a set of attributes (data) and methods (behavior) that all objects of that class will have. Think of a Car class. It might define attributes like color, make, and year, and methods like start_engine() and drive().
- Object (or Instance): An object is a specific instance of a class. Using our Car blueprint, we can create multiple Car objects, such as my_car (a blue Ford from 2023) and your_car (a red Toyota from 2024). Each object has its own unique set of attribute values but shares the same methods defined by the clas The Four Pillars of OOP
a. Encapsulation
Encapsulation is the practice of bundling an object’s data (attributes) and the methods that operate on that data into a single unit (the class). It’s also about “hiding” Python Training in Bangalore the internal state of an object from the outside world and only exposing a controlled interface.
Key Takeaways for Python OOP
- self: The self parameter is a reference to the current instance of the class. It is the first argument of every method in a class and allows you to access the attributes and methods of that specific object.
- __init__(): This is the special “constructor” method that is automatically called when a new object is created. It’s used to initialize the object’s attributes.Best Python Training in Bangalore
- Class vs. Instance Variables:
