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In my case it was Q vs R. For what I was trying to achieve and with my level of statistics background R was an obvious choice. The language/runtime AND RStudio are entirely free. Give it a try!


kdb+ is the only tool I've come across that solidly managed to outperform data.table for data processing. I have huge respect for good Q programmers


Likewise. A good kdb dev is a very rare and intelligent beast, hats off. I'm just too stupid to be able to comprehend much of Kx's ideas and so R was just much more appealing to me.


In my experience even bad Q programmers can outperform. The language and underlying engine is pretty efficient...




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