Just to set the record straight, RStudio does love R and the R community, and we have no plans to change that. To get all the scientific libraries running on your computer, however, it might be easier to try the official Jupyter Docker containers.This is a companion discussion topic for the original entry at Īs RStudio’s products have increasingly supported Python over the past year, some of our seasoned customers have given us quizzical looks and ask, “Why are you adding Python support? I thought you were an R company!” Jupyter is a normal Python package and can be installed using pip install jupyter. There's also a Qt console for IPython, a similar project with inline plots, which is a desktop application. JupyterLab is a newer take on the UI allowing for more flexibility in how you edit your notebooks, control interactive widgets and even run commands in terminal emulators. As Ryan also mentioned in his answer, Rodeo is an interface more similar to RStudio built on top of the Jupyter kernel. The default Jupyter Notebook version starts a web application locally (or you deploy it to a server) and you use it from your browser. For collaborative editing by multiple users, check out Google Colab built on top of Jupyter.

You can publish your Jupyter Notebooks as reproducible research articles on Authorea. You can even share your notebooks online with others using the nbviewer service, where people publish whole books. static html (and therefore pdf as well).It basically allows you to interactively code and document what you're doing in one interface and later on save it as a: Jupyter Notebook (previously known as IPython notebook) is a really cool project for interactive data manipulation in Python (and other languages, including R).

Rstudio python support