This. I am amazed it isn't more widely shouted about. On Sunday, 29 March 2015 12:34:23 UTC+1, Jony Hudson wrote: > > First, let me shamelessly plug Gorilla REPL http://gorilla-repl.org . > It's a notebook type REPL, which I think works well as an environment for > the sort exploratory programming of that's common when analysing data. We > use it for science-involving-data every day in our research group, and I > think a few others do too. > > Regarding the question, my guess at the answer would be "fashion". My > experience has been that Clojure is a fine environment for technical > computing. It's not as complete, library wise, as the alternatives, so it's > sometimes a struggle. But it has some strengths over the others too > (deployment, in particular - and I find Java is a really nice low-level > escape hatch, compared to the alternatives). My guess is that it would take > some high profile organisation to adopt it as a data science platform, and > talk about it a lot, for it to really catch on, because that seems to be > how fashion works! > > > Jony > > > On Sunday, 29 March 2015 10:55:34 UTC+1, Sayth Renshaw wrote: >> >> Hi >> >> I last learned clojure in 1.2. Just curious why Clojure hasn't developed >> as a go to for data science? >> >> It never seems to get a mention R,Python and now Julia get the attention. >> By design it would appear that Clojure would be a good fit. Is it a lack of >> libraries, ease of install, no good default environment (R Rstudio, >> IPython ) where as you would need to use emacs with clojure, or is there >> just a better default use of Clojure? >> >> Sayth > >
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