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Berlin Weekend Bike Weather Notebook

Create a Jupyter notebook that uses Open-Meteo forecast data to analyze whether Berlin weather is suitable for a weekend bike ride.

Jupyter notebook · Open-Meteo · Berlin weather · bike ride · pandas · forecast

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User:

Could you make me a Jupyter notebook for checking whether the next week in Berlin looks good for a weekend bike ride? I want it to use the free Open-Meteo forecast, pull hourly temperature, rain, wind, and cloud cover, turn that into a small pandas analysis with daily summaries, and include a couple of plots plus a short recommendation.

OpenMates:

I've generated a complete Jupyter notebook for analyzing Berlin's weather forecast for weekend bike rides. The notebook uses the free Open-Meteo API (no API key required), extracts hourly temperature, rain, wind speed, and cloud cover, computes daily summaries filtered to daytime cycling hours (08:00–20:00), plots dual-axis trends, and automatically rates the ride suitability for Saturday and Sunday. ### Key features of this notebook: 1. **API Integration**: Fetches real-time, non-API-key forecast data directly for Berlin coordinates (`52.52`, `13.405`). 2. **Filtering**: Focuses daytime calculations specifically on 08:00–20:00, when you are actually most likely to ride. 3. **Scoring Logic**: Implements a customizable scoring heuristic penalizing rainfall, high wind speeds, and extreme temperatures. 4. **Visualizations**: Plots two dual-axis charts (Temp vs. Rain and Wind vs. Cloud Cover) with shaded weekend backgrounds. --- ### Potential Next Steps - Would you like to add wind direction (in degrees/cardinal points) to help choose a route heading into or away from headwinds? - We could add popular cycling routes in/around Berlin (e.g., Wannsee loop, Tempelhofer Feld, Brandenburg Lakes) matched to the weather conditions.