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.

15 points

I’m not a data scientist but I support a handful. They all use Python for the most part, but a few of them (still?) use R. Then there’s the small group that just throws everything into Excel 🤷🏻‍♂️

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4 points

The dplyr pipeline and ggolot tooling is unmatched. Often I mix Python and r to use each for their most optimal

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4 points

Then there’s the small group that just throws everything into Excel

Interesting. Excel is certainly capable enough but I would think data set size limitations would be a frequent issue. Maybe not as frequent as I would have thought though.

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2 points

Excel kinda chugs when you go over 20MB of data, but once the file is open it works. Sometimes you just need to be patient.

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3 points

R and tidyverse is really amazing, the syntax is so natural I rarely need to check the docs on anything to quickly do basic data transformation/plotting. Definitely more intuitive than pandas (and I learnt that first).

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9 points

R is my go-to, since that’s what my uni taught me (Utrecht university). But I’ve been learning pandas on python on the side for the versatility (and my CV).

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5 points

Ive had surprising luck with Godot for basic things, complimenting it with rust or opengl for higher performance

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9 points

How do you use Godot for data science?

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6 points
*

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

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7 points

Could you please elaborate further on how you’re using Godot in data science?

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2 points

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

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4 points

Java with Spark.

Although I feel like I’m doing less of data science and more of data processing.

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4 points

Not a data scientist, but an actuarie. I use python, pandas in jupyter notebooks (vs code). I think it would be cool to use polars, but my datasets are not that big to justify the move.

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0 points

If it works, don’t fix it!

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