In Berlin, you could get it for free through the SolarPLUS[1] subsidy program. My setup (2 panels, inverter and mounts) cost less than 500€ and was fully subsidized.
I've had a great experience using the IntelliJ plugin called CodeGPT (https://plugins.jetbrains.com/plugin/21056-codegpt). What I really like about it is that it allows you to bring your own API key for various providers like Anthropic and OpenAI.
Additionally, CodeGPT supports local LLMs, which can be useful if you're concerned about data privacy or want to work offline.
Seems to be interesting. Unfortunately, I can't run anything local with reasonable time response. By the way, I need to search again about this, maybe de Llama local runs better now with recent improvements on the model.
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Geom_smooth actually interpolates 80 points along the range of your data and then fits a Loess regression on that. It is incredibly slow to train on significant numbers of data points, hence the workaround.
Edit: I misremembered, it evaluates 80 predictions to draw the line, which is why you can't retrieve the formula from the plot object anymore, but it does in fact fit on the whole dataset.
Loess regression does have n^2 memory complexity, but the cutoff it uses to decide to go for a different model family is n >= 1000.