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afrnz

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I like working with data. sometimes I write about that.

http://www.alexfranz.com

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Having worked in the same problem space, I can heavily recommend to get expert input when evaluating which features to use. Ideally, this is a person who knows the internals of the machinery and/or operations that can help you remove spurious features. As a Data Scientist, one sometimes tends to think that the data explains everything and no expert domain knowledge is needed ("Modern machine translation does work without any knowledge of grammar or language!"). Good luck!

I fondly remember a former colleague calling it the "propeller" key which made me laugh and stuck with me. I now continue myself calling it like that!

Well done Sébastian - I have been waiting for this. Having seperate SQLAlchemy and pydantic models always seemed like a spot where the whole FastAPI developer experience wasn't ideal imo. Looking forward to try this out :)