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Not sure why OP didn't use TFA's actual title, but oh well. Lisp-Stat is maybe not as full-featured as its analogues in the python ecosystem, but it's still qu
by na85 5y ago
Not sure why OP didn't use TFA's actual title, but oh well.
Lisp-Stat is maybe not as full-featured as its analogues in the python ecosystem, but it's still quite good. I recently developed an algorithmic trading bot in Common Lisp using statistical arbitrage methods and I used lisp-stat quite a bit in the development process, and while I enjoyed vega-lite (the plotting library that lisp-stat uses) I will say that I despite JSON as a format and found exporting to gnuplot scripts more flexible and useful.
- ngcc_hk 5y agoDeliberate. I think the original title is good for the writer. But for those are statisticians, I am not sure you should go there. R, pathos, SAS and SPSS (plus one I am not sure but is around) would be more common. Hence, the change to the emphasis. You know Common Lisp or Lisp, a good tool back to life.