As I frequently travel in data science circles, I’m hearing more and more about a new kind of tech war: Python vs. R. I’ve lived through many tech wars in the past, e.g. Windows vs. Linux, iPhone vs.

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 ...

Python and R each excel in different aspects of data science—Python leads in machine learning, automation, and handling large datasets, while R is strong in statistical modeling and high-quality ...

Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models and more. A career in data science involves using statistical, computational and ...

Reticulate is a handy way to combine Python and R code. From the reticulate help page suggests that reticulate allows for: "Calling Python from R in a variety of ways including R Markdown, sourcing ...