Pip Install Vs Conda Install

Since I am using Spider, I should use 'conda install'. But some packages can not be installed in 'conda install' while they easily can be installed in 'pip install'. For example, I

Solution 1:

pip install installs python packages in any environment

conda install installs any package in conda environments

An example would be the tensorflow library, pip requires CUDA and other software requirements to be preinstalled, but conda installs all necessary and compatible dependencies automatically.

Also as rightly pointed out pip installs from PyPi and conda gets packages from its own anaconda repo.

pip on the other hand has advantages, that it can install packages that conda doesn't have and also it supports system wide installs for packages.

Check out: What is the difference between pip and conda?

Also: Understanding Conda and Pip