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holgerbrandl

03/21/2018, 9:59 PM
My humble contribution to today’s Kotlin night in Frankfurt: Kotlin’s emerging data-science ecosystem https://holgerbrandl.github.io/kotlin4ds_kotlin_night_frankfurt/emerging_kotlin_ds_ecosystem.html
👍 12
a

agomez

03/22/2018, 1:30 AM
looks great! will the organizers upload the presentation video?
h

holgerbrandl

03/22/2018, 5:53 AM
Unfortunately, there is no recording. But I’d happy to answer your questions!
d

dh44t

03/22/2018, 11:40 AM
Good work
g

gaetan

03/22/2018, 9:54 PM
Thanks a lot for mentioning us. We have nearly 80% of d3js features. Still work to do on APIs and global coherence but it shouldn’t be too long now.
👍 1
r

raulraja

03/24/2018, 12:35 AM
@holgerbrandl great stuff, some friends and I have discussed a proper Spark lib for Kotlin similar in scope to https://github.com/typelevel/frameless with the goal of bringing better Typed Datasets to Kotlin and a module that provides FP type class instances for the Arrow type classes.
h

holgerbrandl

03/27/2018, 1:24 PM
Thanks for the great pointer @raulraja. I loved the intro about
TypedDataFrame
and especially the revealing closing remarks about arity.
krangl
is considerably less typed, and also don’t know if we could express complex types such as
TypedDataFrame[(Address, String, Double, String)])
in a generic way with kotlin at all. But seeing the need for intermediate case classes (like
Family
), I think I’m on the right track with the less typed DataFrame impl in
krangl
.
r

raulraja

03/28/2018, 9:07 PM
We will consider depending on
krangl
as an underlying impl and provide a strict typed API a top, thanks for the great library!
h

holgerbrandl

03/28/2018, 9:42 PM
looking forward to it. 🙂
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