Photoguy & OverhangWolf
Hey, I’m mapping out my next photo trip and thinking about how to hit the perfect golden hour—any chance there’s an algorithmic way to spot the best light?
You could build a small script that pulls the sunrise/sunset times for your destination, then calculates the sun’s elevation angle for each hour. When the angle drops to roughly 6 to 15 degrees above the horizon, that’s the classic golden‑hour window. Feed that into a weather API to flag cloud cover and humidity—those are the real variables that mess up your perfect math. In practice, a few lines of Python with the Astral library and the OpenWeatherMap API will give you a daily window and a warning if the sky is too grey. But remember, the algorithm can only do so much; sometimes you just have to step out and see if the light feels right.
That sounds like a solid plan—Python, Astral, OpenWeatherMap, got it. I’ll fire it up and see if the script can predict that warm light I’m after, but I’m ready to abandon the data if the sky feels right. Thanks for the tip!
Sounds good, just remember the data’s only a guide—if the sky looks wrong, the math will still be wrong, too. Happy hunting!