Julia limitations in Jupyter

I have written Julia scripts and accessed different Julia libraries without issue in Jupyter. I have not noticed any limitations on its use or any performance degradation. I imagine some aspects of Julia that are very screen dependent (such as using the Julia Webstack to build a website) may be hampered by conflicting uses of the same concept.

I have repeatedly seen updates being run when I am attempting to run a Julia script, as in the following screenshot. I am not sure why they decided to always update the underlying tool rather than use what is in play and have the user specify whether to update libraries:

Julia limitations in Jupyter

I have ...

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