Description
Provides higher-level Python objects for working with R data, functions, and environments through rpy2. It helps data-analysis code feel more natural on the Python side while still calling into R when needed.
Researchers and developers use it in notebooks, scripts, and scientific applications. Keep data conversions explicit when accuracy, missing values, factors, or large datasets matter.