What kind of information does the Pydantic library process?

The Pydantic library in Python is used for data validation and serialization. It processes information presented as input data (e.g., JSON, dictionaries) and converts it into strictly typed Python objects, verifying type conformity and validation rules specified in models. This ensures data correctness at the point of receipt and simplifies working with the data later.

Example of using Pydantic:

from pydantic import BaseModel, ValidationError

class User(BaseModel):
    id: int
    name: str
    email: str

try:
    user = User(id='123', name='Ivan', email='ivan@example.com')
    print(user)
except ValidationError as e:
    print(e)

In this example, Pydantic automatically converts the string '123' into an integer and checks that all fields conform to the specified types.