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.
Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.