No surprise I use python, but I’ve recently started experimenting with polars instead of pandas. I’ve enjoyed it so far, but Im not sure if the benefits for my team’s work will be enough to outweigh the cost of moving from our existing pandas/numpy code over to polars.
I’ve also started playing with grafana, as a quick dashboarding utility to make some basic visualizations on some live production databases.
Ive had surprising luck with Godot for basic things, complimenting it with rust or opengl for higher performance
Could you please elaborate further on how you’re using Godot in data science?
Probably should have elaborated more in the original comment, but essentially I’m not a professional so the freedom of creating custom UI + having some standard variable structures like 2d and 3d transformations are worth it.
It also has a python-eqsue language, good build in ide, documentation, generic GPU access, and most importantly personally is extremely cross platform.
Mostly visualisations though, with rust doing the actual legwork
Mostly for visualisations, but having a standardised reference for 2d and 3d transforms has come in handy too.
Admittedly, visuals aside, rust does most of the mathematical heavy lifting
Edit to note I’m not employed in data science, so I have a lot more wiggle room for things to go wrong
