I'm moving the opposite direction: Altair -> Plotly. I find altair to be too "grammar of graphics" for its own good. And the vega backend makes it hard to hack around. Saving to pdf or high-quality also takes extra steps with additional dependencies.
Highly recommend playing Pentiment. Good mystery adventure set in the backdrop of medieval Bavaria. Large part of the story happens in a monastery (and the surrounding town).
I also see a use-case for reading long fiction books. Recently, I've been reading Stormlight Archives (Book 3) on and off and there are times when I want to remember why character X did Y or what that epigraph means, etc.
I'm looking at the Fediverse explorer and I'm curious how to interpret the embeddings (or the distances between points). What does it mean when two instances are near each other (e.g., sigmoid.social and mastodon-belgium.be)? Is it related to the number of follows?
> The gap between tree-based models and deep learning becomes narrower as the dataset size increases (here: 10k -> 50k).
I am curious if there is a sample threshold where it's worth exploring deep learning approaches to tabular data. I wonder if there are other considerations (e.g., inference speed, explainability, etc.).
I do something similar, but I use the Jesuit's Daily Examen as a guide/prompt [1]. You can strip it with only the secular stuff and the pattern becomes the same: what you're grateful for, what worries you, what you want to improve upon.
Yeah I can imagine this a bit useful when writing literature reviews. I type a sentence then a sidebar on the right suggests papers from your Zotero pile, Google Scholar, etc.
Of course writing literature reviews is often a long process: collect-scan-read-synthesize-write. But sadly a copilot run system may override steps 2,3,4.
Where are you basing these claims? I do pixel art, and dithering + anti-aliasing are one of the fundamental techniques in this medium. It’s widely-employed that there are so many beginner tutorials that teach these methods (I highly recommend MortMort’s channel, for example).
Also, I invite you to look at the Pixel Dailies twitter handle (and the #PixelDailies hashtag), you’ll see the works of several pixel artists and you’ll notice that dithering and anti-aliasing are common patterns.