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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