Contributing to Geoscientific Python through Metpy and Project Pythia

Ana Castaneda Montoya
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.

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Extensible NcML for AI/ML Ready Data on the THREDDS Data Server

Leo Matak
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.

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MetPy Mondays #314 - Tips for Contributing to Open Source Projects

This week we give you some helpful tips on ways you can help contribute to and shape open source software!

MetPy Mondays #313 - Understanding Atmospheric Scale Height with Python and MetPy

This week we see how to use Python and MetPy to help our students understand the concept of atmospheric scale height and experiment with the parameters of the equation.

MetPy Mondays #312 - Logical and Bitwise Operators: What to use?

This week we talk about the difference between logical and bitwise operators and when you should use each. This is a common mistake we see!

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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