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  • Understand where pip installs packages within a user’s home folder with respect to different versions of Python.

  • Understand how to use pip to install a package within a conda environment.

  • Demonstrate how to create a conda environment, with pip installs, that can be shared across a project.

  • Demonstrate creating a module file to load a conda/python environment.

  • Demonstrate updating a conda environment to act as a kernel within the Jupyter service.

  • Suggested Best Practices.

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