Creating an Enthought Python environment on an offline / disconnected / airgapped machine

To install Enthought Python onto an offline machine:

  • Install EDM on both the offline machine and an internet-connected machine.
  • On the connected machine, use EDM to create your desired Enthought Python environment.
  • Use EDM to export that Python environment to a "data bundle" file (a specialized zip file).
  • Transport the bundle file to your offline machine.
  • On the offline machine, use EDM to import the bundle file.

For information about bundle files, see https://docs.enthought.com/edm/user/cli.html#edm-bundles

Simple example with just a few packages:

Some of the commands shown (--help and list) are only informational, and can be skipped after you understand the process.

On your connected machine, enter the following commands:

edm --help
edm env create my-test-environment
edm env list
edm shell -e my-test-environment
edm install --help edm install -y numpy matplotlib jupyter edm list
edm env export -i -f my-test-bundle.zbundle

Transport the exported .zbundle file to the offline machine, then enter the following commands:

edm env import my-test-environment -f my-test-bundle.zbundle
edm env list
edm shell -e my-test-environment
edm list
ipython

 

Starting with an Enthought-curated bundle

As a convenience, if you use the Enthought Extension for Visual Studio Code on your connected machine, you can create an environment based on the "GettingStarted" bundle of over 140 Enthought-curated packages.

  1. To install the Extension and create such an environment, see Using Visual Studio Code (VS Code) as an IDE with the Enthought Deployment Manager (EDM)
  2. Then you can optionally use EDM to modify this environment (add or remove packages).
  3. Then export / transport / import your customized bundle as above.

 

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