Programming

17672 readers

60 users here now

Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!

Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.

Hope you enjoy the instance!

Rules

Follow the programming.dev instance rules
Keep content related to programming in some way
If you're posting long videos try to add in some form of tldr for those who don't want to watch videos

Wormhole

Follow the wormhole through a path of communities !webdev@programming.dev

founded 2 years ago

MODERATORS

snowe@programming.dev

Ategon@programming.dev

MaungaHikoi@lemmy.nz

Any data scientists out there? What's your go to programming language and tools for your work? (lm.paradisus.day)

submitted 3 weeks ago by rutrum@lm.paradisus.day to c/programming@programming.dev

29 comments fedilink hide all child comments

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.

you are viewing a single comment's thread
view the rest of the comments

[–] ptz@dubvee.org 15 points 3 weeks ago (3 children)

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 🤷🏻‍♂️

[–] Sigma_@lemmy.world 4 points 3 weeks ago

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

[–] jubilationtcornpone@sh.itjust.works 4 points 3 weeks ago (1 children)

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.

[–] fuckwit_mcbumcrumble@lemmy.dbzer0.com 2 points 3 weeks ago

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.

[–] blackbirdbiryani@lemmy.world 3 points 3 weeks ago

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).