Re:Creating Python Virtual Environments with Conda: Why and How
by RobinL on Tuesday December 10, 2019 @01:55PM
(#21755623)
One reason it can be very useful is that a conda environment gives data scientists a super easy way to Dockerise their code.
Binder (https://mybinder.org/) is a good example of how well this can work - anyone can reproduce your work using e.g. Jupyter hosted on a binder, build from a conda env.
I'm not entirely convinced that's a good thing, but it's an easy path to managing those sorts of libraries alongside your Python libs.