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It would be good to start development work right away during the sprint, if at all possible. Even if we aren't completely certain of the end goals. This will start to get people familiar with the code bases and documentation, and make shake out some subtleties that are difficult to find without looking at the code. So what are some low-hanging fruit coding tasks?

1. Training – Run the aXe WFC3 Jupyter-notebook Cookbook
2. Refactor grizli | pyLINEAR | Nor's code to use JWST version of grismconf?
3. Assess performance issues of grismconf vs. JWST pipeline version?
4. Jupyter notebook illustrating how to do the equivalent aXedrizzle without using aXe?
   • E.g. reproduce cell 7 of the WFC3 aXe cookbook without using Astrodrizzle
     • Possibly first converting WCSs to gWCS to include distortion info?
   • Using reproject package (doesn't yet have drizzle algorithm though)
   • Using JWST pipeline version of drizzle
5. Reproduce steps of aXeprep in a Jupyter notebook using Astropy ecosystem.

Use-Cases / Workflows

1D spectral extraction for perfectly registered & perfectly calibrated data

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