# Using Python with renv

If you’re using renv with an R project that also depends on some Python packages (say, through the reticulate package), then you may find renv’s Python integration useful.

## Activating Python integration

Python integration can be activated on a project-by-project basis. Use `renv::use_python()` to tell renv to create and use a project-local Python environment with your project. If the reticulate package is installed and active, then renv will use the same version of Python that reticulate normally would when generating the virtual environment. Alternatively, you can set the `RETICULATE_PYTHON` environment variable to instruct renv to use a different version of Python.

If you’d rather tell renv to use an existing Python virtual environment, you can do so by passing the path of that virtual environment instead – use `renv::use_python(python = "/path/to/python")` and renv will record and use that Python interpreter with your project. This can also be used with pre-existing virtual environments and Conda environments.

## Deactivating Python integration

If you’d like to deactivate Python integration for a project, you can do so with:

    renv::use_python(python = FALSE)

This removes the `Python` section from `renv.lock`. Note that this does not remove any previously-created virtual environments or `requirements.txt` files; those can be deleted manually if no longer needed.

## Understanding Python integration

Once Python integration is active, renv will attempt to manage the state of your Python virtual environment when `snapshot()` / `restore()` is called. With this, projects that use renv and Python can ensure that Python dependencies are tracked in addition to R package dependencies. Note that future restores will require both `renv.lock` (for R package dependencies) and `requirements.txt` (for Python package dependencies).

### Virtual environments

When using virtual environments, the following extensions are provided:

- `renv::snapshot()` calls `pip freeze > requirements.txt` to save the set of installed Python packages;

- `renv::restore()` calls `pip install -r requirements.txt` to install the previously-recorded set of Python packages.

### Conda environments

When using Conda environments, the following extensions are provided:

- `renv::snapshot()` calls `conda env export > environment.yml` to save the set of installed Python packages;

- `renv::restore()` calls `conda env [create/update] --file environment.yml` to install the previously-recorded set of Python packages.