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We've established that we want learners to be able to access and experiment with Jupyter Notebooks that use a kernel hosted in the cloud so that they don't need to install anything locally. There's a few basic questions that I need to answer to choose and set up the infrastructure for that--
Should each learner have her own private, persistent environment (e.g., she would be given a starter notebook, and then be able to modify and experiment with it, and all her work would be saved in a place that she can access for the duration of the program). Or, is it enough for learners to access an environment where they can experiment with and run code that they are given, but nothing they do is saved?
Will there be any private or proprietary data that we should take special care with?
Are there reservations about putting the code the program uses in a publicly-facing environment (e.g., open on GitHub), or do we need it to be private?
The text was updated successfully, but these errors were encountered:
We've established that we want learners to be able to access and experiment with Jupyter Notebooks that use a kernel hosted in the cloud so that they don't need to install anything locally. There's a few basic questions that I need to answer to choose and set up the infrastructure for that--
The text was updated successfully, but these errors were encountered: