Complete the code to define a Pydantic model with a name field.
from pydantic import BaseModel class User([1]): name: str
The Pydantic model must inherit from BaseModel to work properly.
Complete the code to create a Pydantic model with an age field of type integer.
from pydantic import BaseModel class Person(BaseModel): age: [1]
str for age which should be a number.float which allows decimals.The age field should be an integer, so use int as the type.
Fix the error in the Pydantic model by completing the missing base class.
from pydantic import BaseModel class Product([1]): id: int price: float
The model must inherit from BaseModel to validate fields correctly.
Fill both blanks to create a Pydantic model with a required string field and an optional integer field.
from typing import [1] from pydantic import BaseModel class Item(BaseModel): name: str quantity: [2][int] = None
Use Optional from typing to mark quantity as optional.
Fill all three blanks to define a Pydantic model with a string field, a float field with a default, and a boolean field.
from pydantic import BaseModel class Config(BaseModel): env: [1] version: [2] = 1.0 debug: [3] = False
The env field is a string, version is a float with default 1.0, and debug is a boolean with default False.