When Is Haskell More Useful Than R or Python in Data Science?
The author seems to argue that Haskell&#x27;s mental fit of the language is a better fit for the domain of data science, and so, really it&#x27;s the lack of libraries that are holding Haskell back. So, obvious question, why did the libraries get created in R and Python..?<p>Many blog post about Haskell seem to include something like...<p>&quot;This is not a language for beginners...&quot;<p>&quot;This language will make you smarter but there is a steep learning curve...&quot;<p>&quot;I don&#x27;t feel smart enough to want to learn Haskell...&quot;<p>And I haven&#x27;t seen many other posts attempting to dispel that notion. Libraries are written by people. How big is Haskell&#x27;s userbase? What is the Haskell community doing to increase it? It&#x27;s at a natural disadvantage when you&#x27;ve got schools (like MIT and Harvard school) using Python as the learning language of choice now and Python has a reputation for being easy to pickup and just being really pleasant to write it.