MetPy Mondays #324 - Build a Custom Local Data Cache with Python

In this MetPy Monday episode, learn how to build a local cache of sounding data files using Python’s Path library and Siphon. We’ll show you how to design a custom getter function that checks if a sounding file exists in your user-defined directory, downloads it if it doesn’t, and then loads it from the cache for further analysis. This streamlined workflow not only speeds up your data processing but also reduces unnecessary downloads. Whether you're working with upper air soundings or other meteorological datasets, this tutorial will help you manage your data more efficiently. ------------------------------------------------------------------------------- Contact / Info: MetPy Docs: https://unidata.github.io/MetPy/ GitHub: https://github.com/unidata/metpy/ Python Mailing List: https://www.unidata.ucar.edu/support/ Gitter: https://gitter.im/Unidata/MetPy Twitter (@MetPy):   / metpy   Twitter( @unidata):   / unidata   Facebook:   / unidata   Music: https://www.bensound.com