OOP in Python — what does it look like, how is it implemented, what architecture is used in the project?

Object-oriented programming (OOP) in Python is implemented through classes and objects. A class is a template that describes properties (attributes) and behavior (methods), while an object is a specific instance of a class.

Example of a class in Python:

class Order:
    def __init__(self, id, amount):
        self.id = id
        self.amount = amount

    def display(self):
        print(f"Order {self.id}: amount {self.amount}")

order = Order(123, 250)
order.display()

The architecture of a project with OOP is usually built around the separation of responsibilities:

• Classes model entities of the subject area.
• Principles of encapsulation, inheritance, and polymorphism are used for extensibility and reuse.
• In large projects, design patterns (e.g., MVC, factories) are applied to structure the code.

In QA Automation, OOP helps create convenient and maintainable test frameworks, where tests and auxiliary functions are organized into classes, making support and scaling easier.