Junior — Middle
Experience using Pydantic in your projects?
sobes.tech AI
Answer from AI
Pydantic is a library for data validation and settings management in Python using type annotations. It allows you to create data models that automatically check types and transform input data.
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' to an integer and checks the data's correctness. This is convenient for processing data from external sources, such as JSON or forms.