Looked at:

• How using different versions of Python pip installs into different locations.

• How Conda environments and pip installs interplay together and using the PYTHONUSERBASE environment variable to force installs into the Conda environment.

• A general process for creating a shared Conda environment with pip installs within a project.

• The basics on creating a module file to expose a Conda environment for general use across a project.  

• How we can extend a Conda environment to act as a kernel within the Jupyter service.