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.

It’s going to get annoying running Python code line by line like this, though, if you have more than a couple of lines of code. So there are a few other ways to run Python in R and reticulate.

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 is a very user-friendly and effective language for data science research, and it is free and open-source. Easy platform integration is made possible by its interoperability with languages like ...

R has a superior and more diverse set of visualization tools than Python, as it has many packages and frameworks that support interactive and dynamic graphics. Python has a more limited and less ...

Tiobe now places R in 21st position and suggests the language isn't benefiting as much as Python from the boom in data science and machine learning. Both languages have become popular among data ...