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A comment on Julia: Dynamism and Performance Reconciled by Design (2018). Parent comment

Re:Julia: Dynamism and Performance Reconciled by Design (2018) by daedalus_f on Monday October 26, 2020 @06:33PM (#24902303)
This is also roughly my experience (though I haven’t tried 1.6 yet) and it really a shame - I much prefer Julia’s syntax to R’s (my primary language) and would love to switch for statistics work.

The problem is perhaps that I largely do fairly simple statistics and plotting, with scripts that in R usually take seconds rather than minutes to run, and the disadvantages of the requirement to compile the code overcomes the compiled speed advantage.

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Re:Julia: Dynamism and Performance Reconciled by Design (2018) by FranzFerdiNaN on Tuesday October 27, 2020 @03:50AM (#24905236)
I have the same use case as you describe and it's not unreasonable to conclude that right now Julia simply does not offer anything that R does not. It seems most Julia users are more in fields like numerical computing or scientific simulations and such, where it does offer clear advantages. But if you just want to run some of the statistical tests you learn in undergrad or want to explore some data R is just a better choice right now.
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