How to create IPython/Jupyter kernel with custom python environment

Question

I have a virtual environment containing a package I need to test in a notebook.

I've got it working in the following manner:

> pip install ipykernel

> ipython kernel install --user --name=foo
Installed kernelspec foo in /Users/pi/Library/Jupyter/kernels/foo

> cat /Users/pi/Library/Jupyter/kernels/foo/kernel.json
{
 "argv": [
  "/usr/local/anaconda3/bin/python",
  "-m",
  "ipykernel_launcher",
  "-f",
  "{connection_file}"
 ],
 "display_name": "foo",
 "language": "python"
}

Now I edit the python path in that file to /path/to/my/virtualenv/bin/python.

Now I do jupyter notebook -> new -> foo, and create a test-cell with import MyPackage, and it works!

My question is: is there a proper way to do this?

(Useful link: https://jakevdp.github.io/blog/2017/12/05/installing-python-packages-from-jupyter/)

Nick Martin · Accepted Answer · 2019-10-17 18:59:10Z

1

Personally, I would use pipenv.

First create a new folder and cd to it:

mkdir [name-of-my-python-env]
cd [name-of-my-python-env]

Now install the environment along with any additional packages you need:

pipenv install jupyter foo bar

Start the notebook server:

pipenv run jupyter notebook

If you need to add any new dependencies just pipenv install them and restart your server.

edited Oct 17, 2019 at 18:59

answered Oct 17, 2019 at 18:53

Nick Martin

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