What is the main role of the Pydantic library in data management in Python projects?

The main role of the Pydantic library in Python projects is to validate and manage data using models based on Python data types.

Pydantic allows:

• Defining data structures using classes and type annotations.
• Automatically checking and converting input data to the required types.
• Ensuring strict typing and preventing errors related to incorrect data.

For example, when working with APIs or configurations, Pydantic helps ensure that data conforms to the expected structure and types.

Example of using Pydantic:

from pydantic import BaseModel

class User(BaseModel):
    id: int
    name: str
    is_active: bool = True

user = User(id='123', name='Alice')  # id is automatically converted to int
print(user)

Thus, Pydantic simplifies data management, making the code more reliable and readable.