Thanks to the R reticulate package, you can run Python code right within an R script—and pass data back and forth between Python and R.

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

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

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 ...

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 ...

Python remains the leading AI programming language in 2025 due to its simplicity, extensive libraries, and strong community ...

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.

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 ...

Java has a lot going for it, but it's not the top language for data science. Java professionals may want to familiarize themselves with Python or R for data science workflows.