__Methods are actions or operations that can be performed on a particular object.__<br>For example, if an airplane is an object, its methods might include takeoff, landing, moving, changing speed, steering, checking status, and so on. Methods help an object perform various tasks and interact with it in program code.

The __methods__ of a class are functions designed to be used by instances. You can define a function within the class and utilize it with instances.

class Plane:
    name = "Unknown"

    def fly(self, distance):
        print(f"The plane {self.name} flew {distance} km")

bon = Plane()
bon.name = "Bon"
bon.fly(56)

> Note
>
> You can retrieve the instance attributes using the `self` parameter within methods.

The `bon.fly(56)` is equal to:
```python
Plane.fly(bon, 56)
```
Where `self` is the `bon` instance and `distance` is `56`.



This course covers Object-Oriented Programming (OOP) in Python, starting with the basics and progressing to advanced concepts. You will implement a User model to gain practical experience and understanding of OOP features. By the end of the course, you will have a strong foundation in OOP and a deeper knowledge of Python's inner workings.

Let's start! The Object-Oriented Programming basic concepts are waiting for you here! In this section, you will get acquainted with the most important concepts for understanding Object-Oriented Programming.

Inheritance - the first of the OOP principles. The entities can be inherited from other ones. You learn how it works in code here.

Inheritance - the second of the OOP principles. The attributes and methods can be closed inside the class and used by the class only. Here you learn how to code with different access modifiers.

Polymorphism and abstraction are the third and fourth of the OOP principles. These principles are not easy to understand. Here you will get to know them in the simplest ways.

The magic methods make sandbox from Python. It's a unique Python tool you can't see in other languages. Here you learn how to use these methods and about the flexibility that they bring to Python.

In-Depth Python OOP

Methods