Getting Started With Pydantic


Pydantic is a Python library for serializing data into models that can be validated with a deep set of built in valitators or your own custom validators, and deserialize back to JSON or dictionary.


To install pydantic you will first need python and pip. Once you have pip installed you can install pydantic with pip.

pip install pydantic

Always install in a virtual environment

Creating a Pydantic model

To get started with pydantic you will first need to create a Pydantic model. This is a python class that inherits from pydantic.BaseModel.

from pydantic import BaseModel
from pydantic import Field

class Person(BaseModel):
    name: str = Field(...)
    age: int = Field(...)

parsing an object

person = Person(name="John Doe", age=30)

data serialization

Pydantic has some very robust serialization methods that will automatically coherse your data into the type specified by the type-hint in the model if it can.

person = Person(name=12, age="30")
print(f'name: {}, type: {type(}')
print(f'age: {person.age}, type: {type(person.age)}')

person = Person(name="John Doe", age='thirty')
print(f'name: {}, type: {type(}')
print(f'age: {person.age}, type: {type(person.age)}')

loading from json

serializing to json