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In this series, I try out FastAPI, a new Python framework built on Starlette. I show you how to build a web-based stock screener using this framework and use many of FastAPI’s features, including pydantic models, dependency injection, background tasks, and SQLAlchemy integration. Full source code is available at
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Thanks for the tutorial. Great job.
Suggest to use 1080p or higher resolution! This will make your video more clear (the code) 🙂
github is missing???
Thanks for the tutorial series
I hope you upload consistently.
Beginner here who is moving on from foundations and starting to learn front-end web design and Flask. This looks like a great starting point as I also want to print tendies. thank you for this.
what type of code editor you are using ?
Great tutorial! Keep up the work
text size in video is too small…..
question: for prod, do you run uvicorn via nginx or some other server (hypercorn?), and how many uvicorn workers do you normally use?
awesome tutorial, thx
Great! Thanks bud!
Can you please show how to connect angular ui to fastapi backend
can you please make video on how to connect to mysql database using FastApi?