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lf-non | 1 year ago

It is quite beneficial for people who aren't writing python. And for them managing jupyterlab installations is a bit of pain.

I would like to use this with xeus kernel for sql (which is also native) and if this reduces the resource consumption of that setup significantly, its a big plus for me.

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oivey|1 year ago

The README says the savings is ~75 MB. In most notebook workflows you’re at most running a couple at once. Saving <1% of my system memory doesn’t let me do anything I couldn’t do before. This also isn’t going to add concurrency/parallelism to your SQL unless xeus has some special magic that this is somehow able to exploit.

lf-non|1 year ago

I was primarily talking in the context of shared server deployments for teams

BiteCode_dev|1 year ago

uvx --from jupyter helps with that significantly.