Highlights From My Summer Internship With Unidata
30 July 2020
Lauren Prox
by
Lauren Prox
2020 Unidata summer intern
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.
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Investigating a Wet Bulb Globe Temperature Calculation for MetPy
30 July 2020
Caitlyn McAllister
by
Caitlyn McAllister
2020 Unidata summer intern
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.
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Building Support for Efficient MetPy Calculations Across Large Datasets with Dask
30 July 2020
Russell Manser
by
Russell Manser
2020 Unidata summer intern
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!
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