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Usually what happens is:

1. "We got it all working in the notebook"

2. "Great, ship it"

3. (data scientist takes the notebook code almost verbatim, wraps it in a basic CLI or HTTP API and it gets shipped off in a docker container for other services to consume)



In practice that’s not too crazy. It’s fast easy to debug and works with most CI/CD tools.

If you ever want to work in teams that kind of setup works extremely well.




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