Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on. The core of R was developed during the 1970s and since then, many libraries ...

That becomes very obvious in the features of Jupyter Notebooks ... They may or may not be able to use libraries that a lot of Python notebooks will employ. Don’t get me wrong.

Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: The most common use cases for Jupyter ...