Pyenv generates env in user's home folder, which is a problem for sharing environment
- I do not want to install NLP and ML packages for each user
- I do not want to have more than single point of truth when running a project
I am familiar of separate virtualenv
package (and that would be my last resort) but wondering if there is a well-known pyenv
strategy on that?