R bloggers

reticulate – another step towards a multilingual and collaborative way of working

FavoriteLoadingAdd to favorites

R, Julia, Python – todays data scientists have the choice between numerous different programming languages, each with their own strengths and weaknesses. Would it not be convenient to bring those languages together and use the individual strength of each language? The package “reticulate” for R takes a step in this direction. The reticulate package creates a Python connection for R which enables the user to combine both languages for an optimal result. This tutorial referring to the Python engine for R Markdown implemented by reticulate, we will illustrate the basic idea, functionality and usefulness of the engine. As an in-depth tutorial with examples and a fictional use case, we include an HTML notebook which is created in R Markdown. You can find it here. The weapon of choice – data analysis in your day-to-day work It could all be so…
Original Post: reticulate – another step towards a multilingual and collaborative way of working