Men from Mars, Women from Venus: both can code .NET in Jupyter
summary
Installs .NET Core, JupyterLab and .NET Interactive on a Raspberry Pi and runs C#, F# and PowerShell kernels on ARM Linux, reads Sense HAT sensors via the .NET IoT bindings, logs ~15 timestamped temperature samples, plots them with XPlot and Microsoft.Data.Analysis, streams updates to an embedded D3.js SVG, controls the Sense HAT LED matrix as alerts, and calls Azure Cognitive Services anomaly detector (injecting a 200°F outlier) to trigger the red LED.
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chapters (9)
- 0:00Introduction and background
- 2:34What is Jupyter and .NET Interactive
- 10:04Setting up Raspberry Pi demo
- 12:36Jupyter Lab interface overview
- 18:46Reading sensor data in C#
- 23:50Visualizing temperature data
- 33:27JavaScript integration with .NET
- 40:38Anomaly detection with Azure
- 48:06Summary and resources
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