This page is not created by, affiliated with, or supported by Slack Technologies, Inc.
2018-05-28
Channels
- # announcements (1)
- # beginners (183)
- # boot (2)
- # clara (4)
- # cljs-dev (20)
- # clojure (59)
- # clojure-dev (7)
- # clojure-nl (1)
- # clojure-serbia (1)
- # clojure-sg (1)
- # clojure-spec (4)
- # clojure-uk (15)
- # clojurescript (77)
- # clr (1)
- # data-science (9)
- # datomic (23)
- # docs (3)
- # duct (15)
- # emacs (8)
- # events (1)
- # fulcro (6)
- # instaparse (3)
- # juxt (1)
- # lumo (9)
- # off-topic (18)
- # perun (2)
- # portkey (13)
- # reagent (2)
- # reitit (11)
- # ring (10)
- # shadow-cljs (158)
- # tools-deps (34)
I often think the idea behind incanter (something like an R environment for clojure) is a good one, but the maintenance overhead (and I've added some bits) is just too much
lots of different stats things out there depending on whether you are in matrix land https://github.com/uncomplicate/neanderthal or https://github.com/mikera/core.matrix or transducers https://github.com/mastodonc/kixi.stats
pytorch like stuff https://github.com/aria42/flare
it is similar to the problem in the web space, but we already have a big hulking framework that is hard to maintain
thanks for the suggestions @justalanm @otfrom I went with incanter as the docs were beginner friendliest. Need to find time to finish Clojure for Data Science !