reticulate: Interface to 'Python'

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: 1.4
Depends: R (≥ 3.0)
Imports: utils, graphics, jsonlite, Rcpp (≥ 0.12.7)
LinkingTo: Rcpp
Suggests: testthat, knitr, callr
Published: 2018-01-09
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)
Materials: NEWS
In views: HighPerformanceComputing, NumericalMathematics
CRAN checks: reticulate results

Downloads:

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_1.4.tar.gz
Windows binaries: r-devel: reticulate_1.4.zip, r-release: reticulate_1.4.zip, r-oldrel: reticulate_1.4.zip
OS X El Capitan binaries: r-release: reticulate_1.4.tgz
OS X Mavericks binaries: r-oldrel: reticulate_1.4.tgz
Old sources: reticulate archive

Reverse dependencies:

Reverse depends: RQGIS
Reverse imports: docker, fuzzywuzzyR, GeoMongo, greta, keras, kerasR, meltt, spacyr, tensorflow, tfdatasets, tfestimators, tfruns, XRPython
Reverse suggests: cleanNLP, findpython, knitr, nimble, RcppArmadillo, reinforcelearn

Linking:

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