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How using different versions of Python pip installs into different locations.
How Conda environments and pip installs interplay together and using the
PYTHONUSERBASEenvironment 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.
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