Now your user need to learn a lot about Docker to edit anything. And you need to find a place to host those huge images. What's free today may not be in a year, see Docker Hub.
Edit: Not saying offering it as an option is bad. But your pip install should work regardless, scipy=0.10.1 is bad whether you offer a Docker image or not.
If you don't want to host Docker images, you can just provide a Dockerfile. That way the onus of resolving all the complications is on you - your user only needs to have Docker running on their system.
Arguably, it's a pretty reasonable requirement. Widely used, mature, easy to set up.
I don't remember when I switched to running all my dev envs in Docker, but I wouldn't go back.
How far are we going to need to go to fully abstract these systems? Am I going to need a separate computer running a VM with a server image for hosting a docker image of python venv to manage a package that prints some text?
Edit: Not saying offering it as an option is bad. But your pip install should work regardless, scipy=0.10.1 is bad whether you offer a Docker image or not.