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rpymat: Easy to Configure an Isolated 'Python' Environment

Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scripts. The package provides utilities to run system command within the 'conda' environment, making it easy to install, launch, manage, and stop 'Jupyter-lab'.

Version: 0.1.7
Imports: utils, reticulate (≥ 1.21), fastmap (≥ 1.1.0), rappdirs (≥ 0.3.3), glue (≥ 1.4.2), IRkernel (≥ 1.3), jsonlite (≥ 1.7.3), rstudioapi (≥ 0.13)
Suggests: spelling
Published: 2023-08-22
DOI: 10.32614/CRAN.package.rpymat
Author: Zhengjia Wang [cph, aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang at gmail.com>
BugReports: https://github.com/dipterix/rpymat/issues
License: Apache License (≥ 2)
URL: https://github.com/dipterix/rpymat, http://dipterix.org/rpymat/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: rpymat results

Documentation:

Reference manual: rpymat.pdf

Downloads:

Package source: rpymat_0.1.7.tar.gz
Windows binaries: r-devel: rpymat_0.1.7.zip, r-release: rpymat_0.1.7.zip, r-oldrel: rpymat_0.1.7.zip
macOS binaries: r-release (arm64): rpymat_0.1.7.tgz, r-oldrel (arm64): rpymat_0.1.7.tgz, r-release (x86_64): rpymat_0.1.7.tgz, r-oldrel (x86_64): rpymat_0.1.7.tgz
Old sources: rpymat archive

Reverse dependencies:

Reverse imports: rpyANTs
Reverse suggests: ieegio

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rpymat to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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