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Miniconda
, Python
, and Matlab
(experimental) EnvironmentThe goal of rpymat
is to create a single isolated
Miniconda
and Python
environment for
reproducible pipeline scripts. The package is a shell of
reticulate
package, but provides more stable behaviors,
especially on ‘ARM’ machines.
You can install the released version of rpymat from CRAN with:
install.packages("rpymat")
Configure python after installation
# change `python_ver` accordingly
::configure_conda(python_ver = 'auto') rpymat
Add Python
or conda
packages
# Add conda packages
::add_packages(c('pandas', 'numpy'))
rpymat
# Add conda packages from channels
::add_packages(c('h5py'), channel = "conda-forge")
rpymat
# Add pip packages
::add_packages(c('sklearn'), pip = TRUE) rpymat
Jupyterlab
# Install Jupyterlab, will install
# numpy, h5py, matplotlib, pandas,
# jupyter, jupyterlab, jupyterlab-git, ipywidgets, jupyter-server-proxy
# jupyterlab_latex, jupyterlab_github, matlab_kernel
::add_jupyter()
rpymat
# Launch Jupyterlab
::jupyter_launch(async = FALSE) rpymat
::jupyter_launch(
rpymatasync = TRUE, workdir = "~",
port = 18888, open_browser = TRUE,
token = "IwontTellYouMyToken"
)
To query existing servers
::jupyter_server_list()
rpymat#> host port token
#> 1 127.0.0.1 8888 3hzWfGPa0EOmonaNS48jrTvpw07KiX7VKerA9ZTFJMkCOJMgfB
#> 2 127.0.0.1 18888 IwontTellYouMyToken
To stop a server
::jupyter_server_stop(port = 18888) rpymat
rpymat
with
reticulate
# Initialize the isolated environment
::ensure_rpymat()
rpymat
::repl_python() rpymat
Then run python code interactively.
Alternatively, you can use rpymat::run_script(path)
to
execute Python
scripts, and use reticulate::py
to obtain the results.
The following command will erase the environment completely.
::remove_conda() rpymat
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.
Health stats visible at Monitor.