The National Weather Service (NWS) estimates that its open data support a [1.5 billion dollar industry](http://informationdiet.com/blog/read/how-did-weather-data-get-opened). However, if you are a Python enthusiast and love open data you don't need that industry to get your very own customized weather app ;-) We will walk through all the steps to create a fully-featured GIS interactive map (mobile friendly too!). Thanks to the Open Geospatial Consortium (OGC) standards, and NOAA's open data policies, it is quite easy to set up a data discovery system based on location, time, and variable of interested. In [this example](https://ocefpaf.github.io/python_hurricane_gis_map/irma.html) we'll explore the National Hurricane Center (NHC) predictions for hurricane Irma and fetch all open data we can find along its path.