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.

Before engaging with RStudio, the folks at Qubole undertook a study to gauge the popularity of R. They found that, contrary to the rumors of R’s demise, that R remains an integral part of the data ...

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 ...

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

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

Then the data is fed into R, which applies the well-tested, optimized statistical analysis routines built into the language. It’s as if R is a library for Python.

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 ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...