Showing entries tagged [intern]

Maintaining netCDF: Updating Java Tutorial Code and Performance Testing in Python

Isabelle Pfander
Izzy (Isabelle) Pfander

I came into this summer internship with a goal of working on the Network Common Data Form (netCDF) libraries. NetCDF is a combination of software libraries and APIs describing a data model for scientific multidimensional arrays. I planned to improve the online user guide, write tutorial code, and learn about storage and efficiency.

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Enhancements to Plotting Capabilities in MetPy

Connor Cozad
Connor Cozad

I spent this summer with Unidata contributing new features and improvements for version 1.1.0 of MetPy. This release is the first to introduce new features since 1.0 debuted in December 2020. I focused on enhancements to MetPy’s declarative interface, which allows users to plot datasets on maps. These new capabilities provide greater control over map design and introduce support for plotting additional data formats.

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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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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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