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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