[rjeli]

I have a strategy that works pretty consistently - close your eyes and ignore the best practices like using Anaconda, Python 3, virtualenv (or venv in py3... oh wait it's a module?) and just install Python 2.7 with pip into default locations (I even run pip with sudo, the horror). It works really well! I run all sorts of CV, ML, deep learning notebooks with no problems.

[radarsat1]

I agree, I never use virtualenv. I might if I was building a production system, but for my own laptop I feel perfectly capable of remember/tracking/checking what is in my ~/.local. (I always install with `--user`)

If I really need to containerize something, I use Docker.