Two frameworks that have taken the Python world by storm are FastAPI and Pydantic. Once you already have your data exchange modeled in Pydantic, you might want to use that code for storing it in the database. And, if you have DB models you might want to somehow use them to power and document the APIs built with FastAPI.
But the popular ORMs, such as SQLAlchemy and others, far predate Pydantic. But could they be put together?
Sebastián Ramírez is here to tell us the answer is yes. We're covering his project SQLModel which is the marriage between Pydantic and SQLAlchemy.
Links from the showSebastián Ramírez: @tiangolo
SQLModel: sqlmodel.tiangolo.com
Create a SQLModel Model: sqlmodel.tiangolo.com
Multiple Models: sqlmodel.tiangolo.com
FastAPI Talk Python episode: talkpython.fm/284
FastAPI Dependency Injection: fastapi.tiangolo.com
ODMantic for MongoDB: github.com
Beanie for MongoDB: github.com
Michael's Short video on Pydantic: youtube.com
FastAPI courses by Michael: training.talkpython.fm/fastapi-courses
Watch this episode on YouTube: youtube.com
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