Pydantic Validation Skill

Summary

Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core for high-performance validation.

When to Use

• API request/response validation (FastAPI, Django)
• Settings and configuration management (env variables, config files)
• ORM model validation (SQLAlchemy integration)
• Data parsing and serialization (JSON, dict, custom formats)
• Type-safe data classes with automatic validation
• CLI argument parsing with type safety

Quick Start

from pydantic import BaseModel, Field, EmailStr
from datetime import datetime