And just when I thought Kotlin could not surprise me anymore, Kotlin-Statistics came into the picture. Interoperability with Java, elimination of the NullPointerException, Kotlin Multiplatform Mobile, you name it. Since then I have been in awe of the language. According to this article, Kotlin even failed to break in the top 10!
Python tops my list, or at least used to, followed by Java & Scala. What comes to our minds whenever we talk about which programming language to pick for data science? Let us be honest, Kotlin has never been the one. The interest over time for data science has taken a boost in the recent past, for reasons as obvious as the theory of evolution and the survival of the fittest! One blog even read that the job of a data scientist is the sexiest job of the 21st century! Just type in "Data Science" inside the Google Trends search box, and you would believe it too. 5 min read Statistics for Data Analysis with Kotlin.
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