But data science is a specific field, so while Python is emerging as the most popular language in the world, R still has its place and has advantages for those doing data analysis. Hoping to settle ...

More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, not competitive. As data science becomes critical to every ...

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 ...

Python stays far ahead after another dip; C holds second, Java retakes third from C++, and R rises to eighth as SQL slips, ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...