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Allow to read xlsx from pandas (if user choose to install)
Fixed a command issue on linux where dot-dot cannot be used on file path to get the parent directory; using R's built-in dirname instead
Fixed a jupyter dry-run issue
Allowed to set base URL for jupyter
Allow to manually override jupyter token with JUPYTER_TOKEN environment variable instead of randomly-generated tokens. This setting is mainly designed for docker.
rpymat 0.1.6
Fixed an installation problem introduced in version 0.1.5
Added utility functions for basic Python types
Added global variables in run_pyscript
rpymat 0.1.5
Added choose_directory, choose_fileopen, choose_filesave to select files using either base R or Python (via tcl-tk but with better interface on osx)
Ported reticulate functions to convert between R and Python objects
Allowed to set conda to installed version via system environment R_RPYMAT_CONDA_EXE and R_RPYMAT_CONDA_PREFIX; this change will allow conda-forge library r-rpymat to use already-installed conda
Speed-up ensure_rpymat by caching the configuration
rpymat 0.1.4
Muffled conda information when running Python code or scripts
Ported reticulate::repl_python function
Allowed users to list installed packages
Allowed jupyter to run in background in RStudio jobs
Removed optional jupyter add-on packages from the installation script
rpymat 0.1.3
Fixed command-line script failing to load conda
Allowed to use the miniconda installed at user's home directory
Use slash instead of backslash on Windows system to avoid escaping issues
rpymat 0.1.2
Fixed BLAS issues on some Unix systems
Added Windows support
Added support to install, configure, launch, and stop Jupyterlab
Added run_command to invoke enhanced system command under conda environment
rpymat 0.1.1
Added a NEWS.md file to track changes to the package.