But, Python and R also bring their own unique strengths to data science, making it harder to decide which to use. R vs. Python: The main differences.

This led some pundits to declare the demise of R. Dice Insights, an online publication connected to the popular tech salary site, declared that R was one of five languages that are “probably doomed” ...

The Python Package Index (PyPI) currently has over 183,000 projects, greatly outnumbering R packages available on the Comprehensive R Archive Network (CRAN). According to CRAN, there are 14,385 ...

“Python is closer to people with computing technology backgrounds. If you’re a programmer, or come from that background, Python might be more natural.” It’s tough to forecast which language—R or ...

R is a specialized language, however, and it has limitations. As a general-purpose language, Python has an advantage over R, Khalusova said. Python is more production-friendly, and it's easier to ...

Top institutions like Harvard, Google, MIT, and IIT Bombay are offering free beginner coding courses in 2025. Covering 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 ...

R Markdown isn’t going away. But the Quarto publishing platform is as friendly to Python, Julia, and Observable JavaScript as it is to R.

Harnham said that Python was now the top programming language used in data science, "with R falling firmly into second place." The remaining top-five data science technologies were SQL, AWS and Spark.