R and Rstudio are great for workflows in statistics and data science, but what if you need to use a library that's only available in Python? What if your collaborators work in Python and you work primarily in R (or vice versa)? How might you share code and make it so your workflows come together? The reticulate package helps with these issues and can make bringing together R and Python a joy.
Surely the folks at RStudio are the best source of information about this recent thrust in interoperability, however, after getting a feel for reticulate and how it might fit into my own workflow I'm happy to share a point of view about how to add this powerful tool to your own data science toolbox.