pydantic — Easy Examples

Data validation using Python type annotations; settings management

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Getting started with pydantic

Installation and basic usage of pydantic.

python
# Install: pip install pydantic
from pydantic import BaseModel, field_validator

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

    @field_validator("age")
    @classmethod
    def validate_age(cls, v):
        if v < 0 or v > 150:
            raise ValueError("Invalid age")
        return v

user = User(name="Alice", age=30, email="alice@example.com")
print(user.model_dump())
Expected Output
# Expected output shown below
# (Run locally with: pydantic)

pydantic is a third-party package. Data validation using Python type annotations; settings management. Install with: pip install pydantic

Common pydantic operations

Frequently used features of pydantic.

python
# Install: pip install pydantic
import pydantic

# Common pydantic patterns
print(f"pydantic version: {pydantic.__version__}")

These are the most commonly used features of pydantic in everyday development.

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