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by lf-non 534 days 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.
2 comments
oivey 534 days 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.
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lf-non 534 days ago
I was primarily talking in the context of shared server deployments for teams
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BiteCode_dev 534 days ago
uvx --from jupyter helps with that significantly.
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