Yes, the Python community is much bigger and is more likely to pull R packages into the Python ecosystem than the reverse, but which you’ll use may ultimately be a question of and, not or.

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 ...

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 ...

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 ...

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 ...

Positron is Posit's new, free IDE for data science. Users can work with Python and R. It explicitly does not replace RStudio.

Here's how R users can get comfortable working with Python and LangChain, one of the hottest platforms for working with large language models.

Programming languages: Julia touts its speed edge over Python and R Benchmarks suggest programming language Julia may be the best choice for big-data analysis using CSV format files.