R Programming

Learn about the difference between the typical use cases of R and Python for data science. Discover the tasks most suited to the languages, as well as how to use them in Datalore.

Discover the similarities and differences between R and Python. Programming styles, data visualization and libraries for each programming language are covered.

Greetings from the Datalore team! Exciting news for those of you who love more than just Python: Datalore now also supports R and Scala notebooks! Read on to learn more about the updates. R and Scala support Although Python is the most popular language in data science, R and Scala also do a great job for data science tasks and have a rich user community. That’s why we added support for Scala and R kernels in Datalore, so now you can: Create R 0.4.11 and Scala 2.12 notebooksGet smart code completion for R and Scala codeInvite your team members to collaborate on code in real-timePub