You can install things with pip but you have to be really careful, because Conda tries to do clever things to avoid downloading multiple copies, which is what y

You can install things with pip but you have to be really careful, because Conda tries to do clever things to avoid downloading multiple copies, which is what you end up with in Virtualenvs. So, if you have two environments both using the same version Jupyter version, installed with 'conda install jupyter' it will only have one copy which is symlinked into the environments. Problem is, if you do 'pip install' in one of the environments, it will upgrade the existing version, but overwrite the conda installed one, which will break your other environment. Often though the official conda packages are lagging behind those on pip, so you have to do this anyway, or use Conda Forge which gets more regular updates or use pip (but carefully uninstalling all the conda installed stuff in the environment first) if you want the bleeding edge.