Keras/tensorflow has some <= version specifications for modules it depends on. If there is a > version installed, pip install fails. Being able to install mult

Keras/tensorflow has some <= version specifications for modules it depends on. If there is a > version installed, pip install fails. Being able to install multiple versions of the same module seems like a fairly basic feature for a packaging manager. And it would seem to me that having a shim executable to examine a profile of some kind for an app at startup, and load/install the correct version of python doesn't seem impossible.