Showing entries tagged [intern]

MetPy 1.1.0 Milestones: Code Fixes and Verification

Lydia Bunting
Lydia Bunting

This summer I worked with the Unidata tech team on addressing the MetPy 1.1.0 milestones we prepared for it to update from version 1.0.0. Throughout this process of learning how to navigate GitHub and MetPy and how to implement new code, code verification and testing played a large role.

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Highlights From My Summer Internship With Unidata

Lauren Prox
Lauren Prox

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

Caitlyn McAllister
Caitlyn McAllister

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

Russell Manser
Russell Manser

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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Enhancing the netCDF C++ Library and the Siphon Package

Aodhan Sweeney
Aodhan Sweeney

This summer at Unidata I worked on expanding functionality for both the netCDF C++ library and the Python data access tool Siphon. Previously, the netCDF C++ library was lacking important functionality that was included in other netCDF libraries. Fortunately, adding this functionality is a straightforward process. I created function wrappers in the C++ library that would call previously made functions in the C library. This allows those working in a C++ framework to continue to use the netCDF libraries without sacrificing additional functionality.

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Unidata Developer's Blog
A weblog about software development by Unidata developers*
Unidata Developer's Blog
A weblog about software development by Unidata developers*

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