Emily CLI Documentation

Release-v2.0.0

Emily combines the powers of Python and Docker to build stable and consistent machine learning and datascience python environments. Emily is useful for large cross-team project development as well as for simply running a single jupyter notebook or python script.

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$ emily mount <project> [options]

Mount data to Emily on your system.

$ mount my-project
Please specify path to the local drive you wish to mount: >>

Mount path was added to the project


Running Emily Mount

To mount a data folder to your emily project run emily mount my-project where the my-project can be a project ID, name or path. You will be then prompted to specify source path to the data folder your would like to mount.

You can use the --target flag to modify the target directory in the container. Default is /workspace/<source>.
$ mount my-project
$ mount my-project --source ../my-local-directory
$ mount my-project --source ../my-source-directory --target /workspace/my-target-directory

    Options

  • -h,--help

    Display help for command

  • -so,--source<path>

    Source directory to mount

  • -t,--target<name>

    Target directory in container. Source is mounted to /workspace/<target or source> unless an absolute path is provided.

  • -s,--silent

    Execute Emily silently. (default: false)

  • -u,--update(--no-update)

    Prompt for update if newer version found. (default: true)

  • -vb,--verbose

    Print detailed information while running commands.