In our work with the Advanced Light Source, we enabled a common, shared software environment where users can run a set of project curated notebooks. The pre-installed common environment means that users don't have to deal with tricky software installation and dependency management issues. We developed a tool called clonenotebooks (based on nbviewer) for browsing Jupyter Notebooks in repositories such as GitHub.  It allows users to clone a Notebook and its execution kernel pointing to a common NERSC Python environment, allowing users to easily replicate an analysis. Custom Jupyter widgets were also developed to support interactive path selection (ipypathchooser) and viewing of sinograms or digital slices through 3D data (ipysliceviewer) from a Jupyter Notebook.
A exploring parameter spaces in tomographic analysis, where one may need to experiment with different combinations of parameters to determine the best fit for the data at hand.