So, I have seen What is the difference between pip and conda?. However, all of the answers there appear to be from Anaconda supporters. So, that made me wonder: why is pip s
Based on my limited experience, I would guess that the main advantage of pip over conda is the ability to still install packages that are not available from conda or Anaconda.org.
https://conda.io/docs/using/pkgs.html#install-non-conda-packages - says basically the same.
I have been using conda for a while now, mostly studying Machine Learning and related subjects. I am a happy user 99.99% of the time. But when one faces challenges like building and installing tensorflow with GPU support for Mac that would support his or her rather specific/outdated GPU, one can't really rely on conda.