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Create a python virtual environment using either
pipenv
orvirtualenv
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Open up
cmd.exe
, activate the virtual environment and issue the following to commandspipenv install jupyter
pipenv install ipykernel
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To create the custom
ipython
kernel, issue the following commandspython -m ipykernel install --user --name other-env --display-name "whatever name you want to give the kernel"
python -m ipykernel install --user --display-name "whatever name you want to give the kernel"
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The
--name other-env
argument, value pair is optional. See here for explanation -
Now when you reload your
ipython/jupyter
notebooks you should see the newly created kernel listed under kernels. You can see some kernels I've created in the screenshot below.
Last active
September 24, 2019 10:33
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How to create a custom ipython, aka jupyter notebook kernel with a python virtual environment
Hey man.
You simply activate the said environment on your command line and use pip install <package-name>
(if you created the environment with virtualenv
or pipenv
you do pipenv install <package-name>
(if you created it with pipenv
).
The package should now be available for import inside your notebook.
al right it's fine for me.
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So, If I have created this second kernel, how could i link the package that i installed with my pipenv with this kernel? I mean install package for notebook like pandas and some with pipenv?