Python: Do we still need Dataclasses ? If Pydantic is here

Revolutionize Your Python Code Quality with Pydantic

Hi everyone, In one of my previous article I have discussed on the Python DataClasses. But there’s an alternate package — “Pydantic” and it adds a couple of really cool features. So in this article I will discuss on Pydantic and when you should choose Pydantic over the built-in Dataclasses.

What is Pydantic?

Pydantic is a library that makes it easy to define data structures with validation and default values. It is designed to be used with Python’s type annotations (a feature introduced in Python 3.5), that allows you to annotate function and variable definitions with type information.

Pydantic uses these type annotations to automatically generate validation code for your data structures. For example, if we define a class with a string field and a numeric field, Pydantic will automatically generate code to ensure that the string field is a string and the numeric field is a number.

Here is an example of a Pydantic model:

from pydantic import BaseModel
class User(BaseModel):
  id: int
  name: str
  email: str

This defines a simple User model with three fields: id, name, and email. The id field is…