R interface to Python modules, classes, and functions. When calling into Python R data types are automatically converted to their equivalent Python types. When values are returned from Python to R they are converted back to R types. Compatible with all versions of Python >= 2.7.
Version: | 1.0 |
Depends: | R (≥ 3.0) |
Imports: | utils, graphics, jsonlite, Rcpp (≥ 0.12.7) |
LinkingTo: | Rcpp |
Suggests: | testthat, knitr |
Published: | 2017-07-25 |
Author: | JJ Allaire [aut, cre], Kevin Ushey [ctb], RStudio [cph, fnd], Yuan Tang [aut, cph], Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [aut, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/) |
Maintainer: | JJ Allaire <jj at rstudio.com> |
BugReports: | https://github.com/rstudio/reticulate/issues |
License: | Apache License 2.0 |
URL: | https://github.com/rstudio/reticulate |
NeedsCompilation: | yes |
SystemRequirements: | Python (>= 2.7.0) |
Citation: | reticulate citation info |
Materials: | NEWS |
In views: | NumericalMathematics |
CRAN checks: | reticulate results |
Reference manual: | reticulate.pdf |
Vignettes: |
Arrays in R and Python R interface to Python Using reticulate in an R Package Python Version Configuration |
Package source: | reticulate_1.0.tar.gz |
Windows binaries: | r-devel: reticulate_1.0.zip, r-release: reticulate_1.0.zip, r-oldrel: reticulate_1.0.zip |
OS X El Capitan binaries: | r-release: reticulate_1.0.tgz |
OS X Mavericks binaries: | r-oldrel: reticulate_1.0.tgz |
Old sources: | reticulate archive |
Reverse imports: | docker, fuzzywuzzyR, greta, keras, kerasR, meltt, RQGIS, spacyr, tensorflow |
Reverse suggests: | cleanNLP |
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