Ana Castaneda Montoya

As part of my summer of 2024 internship I had the privilege of getting involved with some of NSF Unidata's Python projects. My work ranged from creating educational tutorials to adding new functionalities to existing libraries, enhancing the resources available to the community.

Leo Matak

I would like to begin by saying that this internship has definitely been one of the top highlights of my Ph.D. journey. I spent most of my working hours implementing the idea of server-side virtual data processing. This means that data on the THREDDS Data Servers (TDS) could be virtually processed without actually modifying the data. As such, the data integrity would remain intact, but it could be optimized for ML/AI.

Jhamieka Greenwood

This summer, I had a fantastic time as a Unidata intern, strengthening my Python and data visualization skills. Even though my internship was fully remote, I was still able to have a great experience and attend many events at UCAR. My mentor, Thomas Martin, and the rest of the Unidata staff were very helpful and always available for guidance during my time with Unidata.

Erin Rhoades

by Erin Rhoades
2023 Unidata summer intern

This summer, I had the incredible opportunity to spend it as a Unidata intern. My main goal for the summer was to solidify my own fundamental Python skills, but I wanted to do it in a way that would also benefit others. My mentor, Drew Camron, and the rest of the Unidata staff dedicated their time to help me achieve this goal during my internship.

Jessica Souza

During my internship, I worked with the Unidata THREDDS team. My intentions this summer were to learn Java, improve my coding skills, and have experience using it in real world applications. I began my journey by converting existing unit tests for the netCDF-Java library, which is tightly linked to the THREDDS Data Server (TDS) code, to the JUnit Java testing framework. Once I got this practice with Java and had a working development environment, I was able to start working on my summer project.

Nathaniel Martinez

by Nathaniel Martinez
2022 Unidata summer intern

The focus of my summer internship was working on MetPy, both adding new functionality and updating existing documentation to reflect recent updates to MetPy. In particular, I focused on expanding current declarative syntax functionality to Matplotlib's pcolormesh via the RasterPlot class. Declarative syntax enables quick and easy plotting of data, particularly for users new to Python or MetPy.

Izzy (Isabelle) Pfander

by Isabelle Pfander
2021 Unidata summer intern

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.

Connor Cozad

by Connor Cozad
2021 Unidata summer intern

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.