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Haskell Data Analysis Cookbook (haskelldata.com)
5 points by lelf on June 27, 2014 | hide | past | favorite | 3 comments


Haskell or Julia?

I have a highly varied background that includes: SPSS and R for statistical analysis, NLP scripting/programming on a very niche platform, some web app development using PHP, MySql, Javascript, LeafletJS and HighCharts.

I have been reading about both Haskell and Julia and have wondered which would be most worth the time and energy to learn. Anyone with knowledge of both have a nuanced opinion to share?

The presence of this book might be an avenue for me to approach Haskell from a domain where I already understand the lay of the land.


I would say go through this book and see what you think. Don't get too hung up on specific parts but try to move through it quickly so you get a "feel" for Haskell.

Then I'd look for a similar book/tutorial with Julia and do the same. If you can't find a similar resource for Julia, you could probably make due with replicating the Haskell examples with the manual[0] and "learn X in Y minutes"[1] for Julia.

After compare your experiences. If you still aren't sure, try implementing something a little more difficult or involved in both.

They are both very capable tools as far as I know, so how much you enjoy each language might be the most important factor in lieu of limits each language may have for your intended uses.

0: http://docs.julialang.org/en/release-0.2/manual/ 1: http://learnxinyminutes.com/docs/julia/


Thanks for the advice.




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