If a user does a
in the Notebook a listing of all the available libraries appears and not all of these libraries are available by default if I use a Jupyter Notebook locally (i.e. numpy and pandas), which, is great.
Are all the Python libraries available to me by default in Notebook also available in Spark Processor? If not, are there designs to sync the two?
Am now always thinking from an adoption perspective, it won't make much sense to the user why there is a disconnect, if there is a disconnect.
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