Pydantic is an easy-to-use, fast, and widely-trusted data validation library in Python. You’ve gotten a broad overview of Pydantic, and now you have the knowledge and resources necessary to start using Pydantic in your own projects.
In this video course, you’ve learned:
- What Pydantic is and why it’s been so widely adopted
- How to install Pydantic
- How to parse, validate, and serialize data schemas with
BaseModeland validators - How to write custom validation logic for functions using @validate_call
- How to parse and validate environment variables with
pydantic-settings
Pydantic makes your code more robust and trustworthy, and it partially bridges the gap between Python’s ease of use and the built-in data validation of statically typed languages. For just about any data parsing, validation, and serialization use case you might have, Pydantic has an elegant solution.