We will cover how we used Python to adapt to a large institutional processing setup. We used Python to create the definitions, configuration files, and supplementary metadata for each of the weather radars we worked with. We used a variety of custom tools to interface with existing systems and processes that would have been infeasible to work with otherwise. We took advantage of one of Python’s greatest strengths: its flexibility. We used it to perform the bulk of our data processing with NumPy, …