At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of ...

Compare the Python programming language and R to see how they differ and which is better for data science.

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 ...

In Data Science, Python’s flexibility and combination of specialised Machine Learning libraries (like Skikit-learn (that holds some 150000-160000 unique visitors per month), Pybrain,etc) plug directly ...

The difference between Python and R is largely philosophical. One is a full-service language developed by Unix scripters that happened to be adopted by stat heads, big data junkies, and social ...

The language R is in the midst of a sizzling resurgence this summer. One might hypothesize that this growth is coming at the expense of Python, by far the dominant language for data science. But some ...

As programming languages go, there’s no denying that Python is hot. Originally created as a general-purpose scripting language, Python somehow became the most popular language for data science. But is ...

Statistical programming language R has fallen off Tiobe index's list of the 20 most popular languages, having spent three years in the top tier.

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 ...