A Comparison of Python vs. R for Data Science
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.
R vs. Python: Key Differences
Discover the similarities and differences between R and Python. Programming styles, data visualization and libraries for each programming language are covered.
New in Datalore: R and Scala Notebooks, Google Cloud Bucket Mounting and More
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