This is a companion discussion topic for the original entry at https://www.rstudio.com/blog/one-home-for-r-and-python
Why R AND Python? From the very beginning, two key ideas have driven the work we do at RStudio:
It’s better for everyone if the tools used for data science are free and open. This enhances the production and consumption of knowledge and facilitates collaboration and reproducible research in science, education and industry. Coding is the most powerful and efficient path to tackle complex, real-world data science challenges. It gives data scientists superpowers to tackle the hardest problems because code is flexible, reusable, inspectable, and reproducible.