Emily CLI Documentation
Release-v3.0.3Emily 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 environment add [options]Add an environment to your project.
$ environment addChoose a project| AB82JD - movie-recommender>> Please enter the environment name: >> Please enter a port: >> Use a GPU in this environment?(y/N) >> Please enter the number of workers: >> Environment "staging" added to project my-project (M9VHKD). Created: /my/projects/my-project/environments/staging/.emily.envCreating environments
You can add environments to a project simply with the emily environment add command:
$ environment add --name my-environment --project <my project>The command above creates a directory <project root>/environments/my-environment and writes a .emily.env file to it.
You can always add more files to your environment directories as long as their naming follow the *.env naming scheme.
Emily will automatically merge the .env files in an environment when running or deploying a project.