Creating a Custom Environment for Running Jupyter Notebooks
You can create custom environments that give you more control over the environment.
Procedure
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Add the following code snippet to a cell, and then run the cell.
!conda create --clone python3 -n MyTest !conda install -n MyTest -y docker-py !conda run -n MyTest python -m ipykernel install --user --name MyTest
What to do next
For more information about managing custom environments, see https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html.
For an example that provides verbose output and a list of packages installed, see Uploading and Running the Conda Environment Example.
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