Description
Lets Python code communicate with the R programming language, so projects can reuse R packages, statistical routines, and data-analysis workflows from Python. It is useful for research and data science teams that work across both ecosystems.
Developers and researchers use it as a bridge library, not as a separate app. Results depend on the installed R environment and packages, so keep versions, data privacy, and reproducibility requirements documented.