Worse take: * #RStats is unstable in longer project (ie order of packages matter, backward updates) * No standard #Python setup * #Stata can't do random forest and is basically worthless outside academia * #Julia is early stage I really have no clue what is best at beginner level
Seriously, how can this language be the industry standard if it's such a pain in the butt to set it up?
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Replying to @GaborBekes
That's trolling, Gabor. I have R jobs on cron running for a decade+, I have designed / written / owned R-based pipelines in production. There is a "doctor doctor it hurts when I do this" element coming from a subset of the #Rstats universe. "So don't do use that."

Jul 5, 2023 · 2:56 PM UTC

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Replying to @eddelbuettel
It's pain, not trolling. I'd say im on the more coding friendly part of social science ppl. But most of us are *not* interested in engineering. Every hour i spend on library management, switching from (i forgot) to renv, dealing w lack of cohesion is wasted.
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But i am off work now maybe after summer it will be good again
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