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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 ...

The 30th anniversary of Java, which the Java community is celebrating this year, offers a perfect opportunity to reflect on the remarkable changes the ecosystem has undergone. In this article, I aim ...