On Dvorak keyboard it is in a very convenient place. Anyway, one can assign any letter. Not everyone uses virtualenv -- this is very frequent in Django, but I didn't see it elsewhere since I stopped working with it in 2016. Data science that I saw, revolves around Jupyter and Docker.
Anyway, my point is that your package offers conveniences like those in existing packages, and not free but at a similar cost. (Actually, I also contemplated making my own plugins system for `argh`, but just wrote a single package with my own decorator to handle just the few types I needed: pd.DataFrame and gpd.GeoDataFrame. https://github.com/culebron/erde/ )
I feel the majority still uses qwerty keyboards; I assumed that when choosing the name and the shortcut for the tool.
Experiences differ, and de gustibus on est disputandum; in my bubble, virtualenv is a must-have for Python development.
I have multiple Python projects, they run different versions of Python itself and its libraries, and for many of them Docker would be an overkill; so it is hard for me to imagine my routine without virtual environments.
Why not use native Python methods, namely endpoints, instead, and automate this away?