Rendering Blender3D & AnimationNodes scenes with frof

Blender3D is great software, and Animation Nodes (AN) makes it even better, but unfortunately enabling Animation Nodes means that you can’t always render an animation from the Blender GUI. And — more relevantly — Animation Nodes are each individually single-threaded, which means that even if you can render on a GPU or a ton of CPUs, you’re still bottlenecked by the amount of time it takes to compute AN for each frame on a single core.

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Serving my serverless personal website

I recently migrated my personal website over from a “serverful” virtual machine to exclusively use AWS’s serverless offerings. I’ve previously worked pretty extensively with serverless systems — bossDB is a serverless volumetric database I use nearly every day at work, and FitMango is a completely serverless system as well. I’ve been paying $20/mo for my virtual machine that ran matelsky.com since 2014 (up until a week ago, I was still running Ubuntu 14LTS), and I thought it was time for a change.

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PyTablePrinter

I recently started working on some tables and supplementary materials for an academic paper and found the need to print tables in Markdown format. The syntax is relatively simple, but programmatically generating these tables is tedious, and requires a lot of string-formatting which can get irritating.

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Tender is the Insight

The Short Story: I made a web-app that, given some starting text, naively tries to predict what words come next. Because the ‘training’ text was taken from F. Scott Fitzgerald’s Tender is the Night (the first 10 chapters), we can (inaccurately) say that this robot talks like Fitzgerald.

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Mojitos

Molecular gastronomy is a neat crossover of chemistry and food science — the sort of thing that you generally scoff at in overpriced Manhattan restaurants. I won’t go into the specifics, since this Wikipedia article does a far better job. But after a brief mojito stint in Los Cabos a few months ago, I decided to embark on a quest to make The Most Interesting Mojito Ever.

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