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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
rpymat::configure_conda(python_ver = 'auto')Add Python or conda packages
# Add conda packages
rpymat::add_packages(c('pandas', 'numpy'))
# Add conda packages from channels
rpymat::add_packages(c('h5py'), channel = "conda-forge")
# Add pip packages
rpymat::add_packages(c('sklearn'), pip = TRUE)Jupyterlab# Install Jupyterlab, will install
# numpy, h5py, matplotlib, pandas,
# jupyter, jupyterlab, jupyterlab-git, ipywidgets, jupyter-server-proxy
# jupyterlab_latex, jupyterlab_github, matlab_kernel
rpymat::add_jupyter()
# Launch Jupyterlab
rpymat::jupyter_launch(async = FALSE)rpymat::jupyter_launch(
async = TRUE, workdir = "~",
port = 18888, open_browser = TRUE,
token = "IwontTellYouMyToken"
)To query existing servers
rpymat::jupyter_server_list()
#> host port token
#> 1 127.0.0.1 8888 3hzWfGPa0EOmonaNS48jrTvpw07KiX7VKerA9ZTFJMkCOJMgfB
#> 2 127.0.0.1 18888 IwontTellYouMyTokenTo stop a server
rpymat::jupyter_server_stop(port = 18888)rpymat with
reticulate# Initialize the isolated environment
rpymat::ensure_rpymat()
rpymat::repl_python()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.
rpymat::remove_conda()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.