shahamfaisaldesign-collab/HeatPulse ? reverse-engineered prompt

Build me a Python and Jupyter notebook project for the FortyGuard heat stress API.

I want a simple sandbox where I can paste in an API key, run a setup notebook, and then try the main features like creating a heatmap, pulling environmental parameters, getting satellite and street view segmentation, and generating a heat intelligence report. The notebook should handle the async requests for me, so I can just run one cell and get the finished result back without worrying about polling.

Please also include a few example workflows that show how to combine my own CSV or GeoJSON data with the API results to produce useful outputs like ranked risk lists and client ready reports. It would be great if a couple of parcel based examples work offline with cached data so I can test everything without an API key.

Keep it easy to run locally, with a requirements file, an example env file, and clear notebooks that walk through each step. If you need to check the latest API details online, go ahead and do that.