First of all, thanks for clearing things up about Lisp! I have a question which I think is the concern of many people in Data Science sector as well: I love the

First of all, thanks for clearing things up about Lisp! I have a question which I think is the concern of many people in Data Science sector as well: I love the idea of Lisp and have tried it before. I also found the idea of macros super intelligent. But when it comes to data science, I face a lot of problems with Lisp. Currently I do my job with Python (mostly) which benefits from a plethora of libraries. But Lisp falls short in this area. The number of available libraries and active communities is not comparable to that of R/Python/Java... And the language itself is fragmented: There are just too many "Lisp"s out there: CL, Scheme, Racket, ... I even tried Hy once, but that's not quite the experience I want. Could any one suggest how one might do data science and analytics on Lisp? P.S.: Hy Lang: https://github.com/hylang/hy https://github.com/hylang/hy