IMHO, they key for making Kotlin a success in data...
# datascience
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IMHO, they key for making Kotlin a success in data science (and you can see how Python went there) basically revolved about data vizualization library. You must have something like
pyplot
with MathLab-inspired API. Containers are must have, too, of course, but they are nothing without ability to visualize the data. It has to be tight and seamless integration between data containers and visualization/plotting. I feel that nothing needs to be invented. One can just write a wrapper on top of some existing library like
gnuplot
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