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Small static binaries could be an killer-feature for Julia.

While I always had an eye on Julia and it is a lovely language, especially the multiply dispatch and general lispy-ness in spirit, I never really had a good use case for it.

Python always was the better choice due to the stronger ecosystem and faster launch time. Rarely did I need the extra performance Julia offered. But Python is annoying to deploy so Julia starts to seem tempting, at least for smaller projects where you don't want to do a complex docker setup.

Julia is for sure prioritizing the right things.



You can use uv with uv run --script main.py and give it some requirements like numpy as well with --with numpy

You can also upload it to pypi for example with name let's say for example heytest and then just do uvx heytest and it would just work.

Uv is great , uv is love.


I started using UV. My first thought was "Great, Python works more like Julia now"


I have also been able to install uv easily / even create a static binary of uv




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