Everything might keep working if you use pip
to install vs conda
. However, Conda cannot manage dependencies that pip
has installed – it cannot upgrade them, or remove them. More importantly, conda will install a package even if its already been installed with pip
! Try this test:
conda create -n testenv python=3
conda activate testenv
pip install numpy
conda install scipy
You will see from the third command that conda will want to re-install NumPy, even though it has already been installed with pip
. This can cause problems if there are C libraries whose linking is different, or something like that. In general, whenever possible, use conda to install packages into conda environments.