During the beginning of my internship, I devoted a great deal of time learning how to use Git and Github to collaborate on
software development projects. After gaining this experience, I began improving documentation for a
variety of Unidata remote repositories. I started with the netCDF-C repository and then moved on to the
MetPy, Siphon, and Python Training remote repositories. This work was significant as it ensured that
software users were able to locate resources, properly download software, and learn how to operate the
software via informational materials.
During the duration of this summer’s internship program I hit the ground running
by learning how to code in Python. Before this internship, I had only opened
Python a few times while attending classes and did a little coding in this
language for a collaborative project at my university. I familiarized myself over
the first month by using the workshops available in JupyterLab provided by
Unidata. I learned everything from loops to using the THREDDS data sever to plot
variables. Outside of the language, I got to learn how an online community works
with GitHub to share and process software and data. I also learned about
development environments, which I had no clue about before. I will definitely be
using all of these tools moving forward.
Coming into this summer, my goal was to integrate Dask Array support into MetPy. I
knew that this was an ambitious task, but I am happy to say that I made progress
toward accomplishing it!
