Tell us about the use of data classes in your project and why you chose them.

In my project, I used dataclasses for convenient and concise description of data structures that mainly serve as containers for storing information without complex logic.

Advantages of using dataclasses:

• Automatic method generation: __init__, __repr__, __eq__, and others, which reduces boilerplate code.
• Improved readability: the class structure becomes clear and compact.
• Type support: thanks to type annotations, it is easier to maintain and debug the code.

For example, to describe a user entity:

from dataclasses import dataclass

@dataclass
class User:
    id: int
    name: str
    email: str

user = User(id=1, name='Ivan', email='ivan@example.com')
print(user)

This is more convenient and safer than writing a class with manual constructor and comparison methods. In the project, dataclasses helped speed up development and make the code more maintainable.