Intro to Pydantic - Run-Time Type Checking for Your Dataclasses

Discover how to implement run-time type checking using Pydantic in this 26-minute PyCon US talk by Alexander Hultnér. Learn about using standard Python type annotations, ensuring compatibility with dataclasses, and validating user data in a pythonic way. Explore Pydantic's application in web APIs for simplifying user input validation, and gain insights into its evolution as a polished library ideal for JSON-based APIs. Delve into topics such as runtime type checking, JSON Schema, validate arguments decorator, Pydantic frameworks, automatic testing, and fast API development. Access the presentation slides for a comprehensive overview of Pydantic's capabilities and its potential to enhance your Python projects.

Intro
runtime type checking
JSON Schema
validate arguments decorator
pydantic frameworks
automatic testing
fast API
conclusion
outro