When do you ship notebooks to production? Jupiter was never meant for external clients.

While terrifying, it is not uncommon to see python notebooks make it to production.

Oh god why. I thought (and hoped) that GP didn't actually mean this.

I see how a team or an organization can eventually get to this point. It just saddens me that they got there.

why not, many data related tasks are rather ad-hoc, it's a waste of time to make a long lasting software out of every ad-hoc request

Seen the same with exposed matlab web apps. Not just the Python guys, kind of shocking how much group think exists on any platform.

Quite a number of AI edtech sites use notebooks in production for assignments, as an example of when it happens.

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.