When I create a bootstrapped Conda environment for a Jupyter notebook, that Conda environment does not have the packages necessary to connect to other kernels. In particular, I think the Conda environment that is installed here installs only the most basic Conda environment, and later, jupyter, but nothing else.
When I try to use the Kernel > Change Kernel functionality, no additonal kernels are listed (even if they have jinja2, ipykernel, and requests installed as specified on Slide 3 here). To make those kernels appear in the drop down list, I had to install:
conda install -c conda-forge jupyter
conda install nb_conda_kernels
conda install -c anaconda jinja2
conda install requests
pip install remote_ikernel
(Slide 3 in link above.) @avidalto, would it make sense to include a toggle (e.g. Activate notebook kernels?) to install these packages as well (or always install them when bootstrapping)?
When I create a bootstrapped Conda environment for a Jupyter notebook, that Conda environment does not have the packages necessary to connect to other kernels. In particular, I think the Conda environment that is installed here installs only the most basic Conda environment, and later,
jupyter, but nothing else.When I try to use the
Kernel>Change Kernelfunctionality, no additonal kernels are listed (even if they havejinja2,ipykernel, andrequestsinstalled as specified on Slide 3 here). To make those kernels appear in the drop down list, I had to install:(Slide 3 in link above.) @avidalto, would it make sense to include a toggle (e.g.
Activate notebook kernels?) to install these packages as well (or always install them when bootstrapping)?