I thought that’s the way the julia interfaces
to both gnuplot and gnu scientific work like.
They should send raw data to a process rather
than writing to files – don’t they?
And both R and python would disappoint me as
well if they didn’t do so.
But maybe I misunderstood what exact kind of
difference you were talking about?

Am 22.02.21 um 18:47 schrieb Emir U:
> Thanks Mike, I'm a J neophyte so take this with a pinch of salt. I think that 
> the best way to make J relevant for statistics is well thought through deep 
> bindings to the following libraries: GNU Plot, GNU Scientific. Not clunky 
> write to a file then run it in the background type stuff, but well thought 
> through data types and the ability to seamlessly pipe one thing into the 
> next. That's well over 1000 functions all together including practically 
> everything. It'd be sheer bliss for the esoteric mathematical statistician in 
> my opinion and something truly different to the usual throw-up between 
> R/Python/Julia. Emir
> ----------------------------------------------------------------------
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> 

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