Emily CLI Documentation
Release-v2.0.1Emily 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@v2.0.1
See earlier versions
$ emily deploy server <project> [options]
Deploy Emily project to a server.
$ deploy server my-project
Select an environment or add new
| my-local-environment-1
| + Add environment
>>
Transferring files to server
user@server.com:/home/user...
Running Emily Deploy Server
To deploy a project to a server, run emily deploy server my-project
in your terminal. Emily will then generate necessary files and deploy the project to a chosen server. If you do not want to deploy to a server right away, use the --no-server
flag, which will only generate the files necessary for deployment which you can then modify and use whenever you wish by moving the project with the generated files to your server and running the deploy.sh
script.
$ eploy server my-project-id
$ eploy server my-project-name
$ eploy server my-project-path