The idea here is to install multiple ipython kernels. Here are instructions for anaconda. If you are not using anaconda, I recently added instructions using pure virtualenvs.
conda create -n py27 python=2.7 ipykernel
conda create -n py36 python=3.6 ipykernel
After a restart of jupyter notebook, the new kernels are available over the graphical interface. Please note that new packages have to be explicitly installed into the new enviroments. The Managing environments section in conda’s docs provides further information.
Manually registering kernels
Users who do not want to use nb_conda_kernels or still use older versions of anaconda can use the following steps to manually register ipython kernels.
configure the python2.7 environment:
conda create -n py27 python=2.7
source activate py27
conda install notebook ipykernel
ipython kernel install --user
configure the python3.6 environment:
conda create -n py36 python=3.6
source activate py36
conda install notebook ipykernel
ipython kernel install --user
After that you should be able to choose between python2
and python3 when creating a new notebook in the interface.
Additionally you can pass the –name and –display-name options to ipython kernel install if you want to change the names of your kernels. See ipython kernel install –help for more informations.