`pip` by default will install the latest development version (based on the current version format) if a specific version isn't given. Be sure to include the version number if you would like a stable release as opposed to a development release. As well, be sure to `===` instead of `==` for simple version string matching.
#### Jupyter Packages
The `deps.yml` file only contains packages necessary to run the package from the CLI. If you want to run this package as a Jupyter kernel, activate your environment and use the following command to install the necessary packages.
```bash
conda install ipykernel jupyter notebook nbformat
```
## Applying Policies
Applying a policy to filesets is done through the `mmapplypolicy` command at a base level. This repo contains wrapper scripts to call that command with a specified policy file on a given fileset where each wrapper has different levels of functionality meant for different groups of users in RC. All scripts are stored in `src/run-policy`
