What are the differences between Pydantic and Django settings?

What are the differences between Pydantic and Django settings?

Pydantic is a data validation library that uses Python type annotations, while Django settings are a configuration system for Django applications. Pydantic focuses on data validation and parsing, whereas Django settings manage application configurations like database connections and middleware.

Can you give me an example of how to use Pydantic for validation?

Sure! Here's a simple example:

from pydantic import BaseModel

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

user = User(id=1, name='John Doe', email='[email protected]')
print(user)

This will create a User object with validated fields.

How would I implement similar validation in Django settings?

In Django, you typically validate settings by creating a custom settings class or using environment variables with libraries like django-environ. You can also use Django's built-in validators for specific fields.

Which one is better for a new project?

It depends on your project's needs. If you require strict data validation, Pydantic is great. For a Django web application, using Django settings is essential for configuration management.