How to create a custom ipython, aka jupyter notebook kernel with a python virtual environment

custom_ipython_kernel.md

Creating a custom ipython or jupyte notebook kernel

1. Create a python virtual environment using either pipenv or virtualenv

2. Open up cmd.exe, activate the virtual environment and issue the following to commands

   pipenv install jupyter

   pipenv install ipykernel

3. To create the custom ipython kernel, issue the following commands

   python -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"

4. The --name other-env argument, value pair is optional. See here for explanation

5. 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.

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?

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.