lundi 30 octobre 2017

Does Jupyter support 'read-only' notebooks?

My team is currently developing a fairly quick clustering job using Pandas for business analysts. We're planning on hosting a local server where the end user can input a few parameters to be used during the routine execution, which will access an internal database and then return a CSV file.

A Jupyter server would be ideal for us, but the problem is that we can't have the user being able to edit the underlying code - all he needs to do is supply the parameters and start job execution. Converting it to HMTL, I think, turns everything static and means we can't delived updated data on demand.

Plan B is just making a small django app but I'm wondering if there's a way to accomplish what I need with Jupyter itself, or else if there's any better alternative for similar use cases? We don't even plan to display any widgets, just provide the user with the raw data output.

thanks in advance




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