<@UEER9GMMZ> Hello ! I’ve been thinking lately to ...
# datasciencet
Thomas Legrand
12/06/2018, 1:21 PM@Nicolas Pittion-Rossillon Hello ! I’ve been thinking lately to write a blog post on the DataScience ecosystem available in Kotlin and equivalent to Python. I mainly take advantage of the Java ecosystem.
For DataFrames, I personally use Tablesaw (https://github.com/jtablesaw/tablesaw) that integrates well with Plotly, some use Krangl, or if you’re brave enough you could even use Spark.
Smile (https://github.com/haifengl/smile) seems to be similar to Scikit-Learn.
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Nicolas Pittion-Rossillon
12/06/2018, 1:25 PMI’ll have a look into those, thanks for the tips! And be assured that i’d look forward to reading such kind of blog post.
Isn’t using Java libraries a bit of a drawback from Kotlin’s own efficiency though? And wouldn’t it offer better results to look towards Scala libs instead of Java ones, if there isn’t any pure-Kotlin choice?
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dalexander
12/06/2018, 1:37 PMWell Scala libs do not work well with other JVM languages last time I looked, but Kotlin interoperates with Java pretty transparently.
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Nicolas Pittion-Rossillon
12/06/2018, 1:47 PMPoint taken. So far, i find Krangl to be the most appealing one, but i'm not done digging your suggestions yet.
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