Python for Planet Earth: Climate Modeling and Sustainability.. with Drishti Jain
summary
Shows concrete pipelines and working code: loading netCDF temperature files to compute a 10‑year moving average of temperature anomalies, using netCDF4 and xarray and plotting results; reading satellite TIFFs, applying a polygon mask and cropping with rasterio mask and ROI crop to isolate farmland; generating a yearlong solar sunpath in ~20 lines with PVlib sunpath polar plot; measuring reduced emissions by optimizing loops and using carbon-aware computing via Eco2AI. Talks libraries, data formats, and real small apps that run.
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chapters (13)
- 0:00Python for climate research
- 2:08Climate change matters
- 3:35Python in climate science
- 4:39Climate modeling libraries
- 6:23Climate data with netCDF4/Xarray
- 8:11AI climate predictions
- 10:20Environmental monitoring tools
- 13:28Satellite image processing
- 17:41Sustainability Python libraries
- 19:53Quantifying climate risks
- 21:39Open source contributions
- 22:43Carbon-aware computing
- 23:49Q&A
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