Emily CLI Documentation
Release-v3.0.6Emily 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.
Downloademily@latestSee earlier versions
$ emily configuration add [options]Add a configuration to your project.
$ emily configuration add? Emily: Choose a project(Use arrow keys, confirm with ENTER) … > M9VHKD - my-projectAB82JD - movie-recommender · M9VHKD - my-project√ Emily: Please enter the configuration name:
· staging? Emily: Please choose a configuration type(Use arrow keys, confirm with ENTER) … > Docker Compose configurationKubernetes configuration · Docker Compose configurationAdding configurations
You can add configurations to projects using the emily configuration add command.
Configurations consist of individual files - not directories - and as such you can add multiple configurations
to the same configuration directory:
$ emily configuration add compose--project my-project--name staging$ emily configuration add compose external--project my-project--name staging--network local-shared-networkEmily can create Docker Compose and Kubernetes configurations. While there is no requirement for keeping the two types of configurations in separate directories, note that currently only Docker Compose configurations can be used for local development.