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#data-science
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2018-05-11
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agigao14:05:45

How relevant is it know in 2018?

tvirolai15:05:06

It's an excellent book, but the Incanter library which it's based on is unfortunately pretty much dead by now. However, it's got a lot of stuff on basic statistical concepts so it's a good read if you're looking to brush up on that.

fel-mazo15:05:17

which library do you think has a long life ahead of it ?

tvirolai15:05:35

Afaik kixi.stats looks most promising at the moment.

👍 4
aaelony18:05:04

data science is such a broad topic now, it really depends on what you are doing.

2
metasoarous19:05:35

Incanter isn't entirely dead; It's seems to sort of be in a coma. The master branch and website haven't had updates in years (last time I checked) but there's some dev/ or v2 branch that actually moved forward a bunch of work. That having been said, it's sort of a massive beast, and without a more active community and up to date documentation, it's a little hard to recommend investing time/code in over some of the new, lighter upstarts in this space. Maybe this will change, but I've personally gotten tired of holding my breath.

metasoarous19:05:10

Would love to have someone in the project convince me things are looking on the up, but I'll believe it when I see it.