R functions for managing Python [conda environments](https://conda.io/docs/user-guide/tasks/manage-environments.html).
conda_install(envname = NULL, packages, forge = FALSE, pip = FALSE,
pip_ignore_installed = TRUE, conda = "auto", python_version = NULL,
channel = NULL, ...)conda_python(envname = NULL, conda = "auto")
Name of conda environment
Character vector with package names to install or remove.
Include the [Conda Forge](https://conda-forge.org/) repository.
`TRUE` to use pip (defaults to `FALSE`)
Ignore installed versions when using pip. This is `TRUE` by default so that specific package versions can be installed even if they are downgrades. The `FALSE` option is useful for situations where you don't want a pip install to attempt an overwrite of a conda binary package (e.g. SciPy on Windows which is very difficult to install via pip due to compilation requirements).
Path to conda executable (or "auto" to find conda using the PATH and other conventional install locations).
conda channel for pytorch
Optional arguments, reserved for future expansion.
`conda_list()` returns a data frame with the names and paths to the respective python binaries of available environments. `conda_create()` returns the Path to the python binary of the created environment. `conda_binary()` returns the location of the main conda binary or `NULL` if none can be found.