Learning a new language (programming or human!) is hard work, but for data science, it pays off by giving you the ability to reproduce your analyses and to automate repetitive tasks In this talk, ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...