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

PyCon US via YouTube

Overview

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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.

Syllabus

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

Taught by

PyCon US

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