My summer internship at NSF Unidata has been a fulfilling and unforgettable experience. For the majority of the summer, I dedicated my time to two primary projects: accelerating the thermodynamics module of MetPy by swapping its Python core with C++, and creating a 3D visualization of Jupiter’s mid-latitude jet streams using NSF Unidata’s Integrated Data Viewer (IDV).

When presented with a list of possible project ideas for my NSF Unidata summer internship, one that caught my eye was the benchmarking of MetPy using the open-source software airspeed velocity (asv). I had never worked in a Continuous Integration/Continuous Deployment (CI/CD) context before, and expanding my knowledge of this DevOps concept seemed intriguing.

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.