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The field of data science has two primary languages: Python and R. Both are valid and in an ideal world, we should strive to be bi-lingual.

Personally, as a Python developer, I don’t spend a lot of time in R, which inspired me to write this article to expand my perspective.

Programming languages Python and R are often pitted against each other over which is best for data science and analysis. Both are popular, although Python appears to be much more widely used, at least by people learning how to program.

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.

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