Thank you for the thoughtful reply. The impedance mismatch when needing to write performant code from the R/Python universe is real. And that Julia has managed

Thank you for the thoughtful reply. The impedance mismatch when needing to write performant code from the R/Python universe is real. And that Julia has managed Pretty Good performance while simultaneously being a pretty decent language is huge. XLispStat was before my (stats) time, sadly. Being part of a more general purpose language ecosystem is one of the selling points of Python, though from a performance and expressiveness standpoint Python is strictly inferior to Lisp in just about every way. Except weird. To be honest, I’m more fussed about good support for functional style than I am about enforced functional purity. So in that sense, maybe you’re right that the next big data / stats language will be multi paradigm.