This week we read the HURDAT2 hurricane database with a few lines of Python! Don't miss it! It's #MetpyMonday!
MetPy Mondays #142 - HURDAT2 Hurricane Database
03 August 2020
This week we read the HURDAT2 hurricane database with a few lines of Python! Don't miss it! It's #MetpyMonday!
Highlights From My Summer Internship With Unidata
30 July 2020
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.
[Read More]Investigating a Wet Bulb Globe Temperature Calculation for MetPy
30 July 2020
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.
[Read More]Building Support for Efficient MetPy Calculations Across Large Datasets with Dask
30 July 2020
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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