dndn1

It's >3 machine instructions (and I admire the mathematical tricks included in the post), but it does do thousands of calculations fairly quickly :)

I was blown away by the little functions at first and I too made a clone to experiment with calculang [1].

I added an evaluation feature (F9) so you can select sub-expressions and see what they do, which was helpful to figure out some patterns (video in [2])

This algorithm is one I use to demo some features in a language I'm making called calculang [0][1] I like the way you step through the logic.

My only suggestion would be to include a raycasted scene because you can really grab a wide(r) audience (and I'd love to see how you get to voxel scenes!).

Either way - thanks for adding a neat new resource for this algorithm and I'm definitely taking notes Re your clean presentation of the details!

Here the 6% compound returns is an assumption. If that's good or bad to use depends on the purpose of the projection. For long projections in medium-risk funds this might be a reasonable value - but it can also be far off, especially in the short-term.

This blog post is a 'narrative visualization' to show some nice savings incentives visualized in a chart.

I think these are important to have a good understanding about when they are relevant, but the bigger reason I made this is to explore the communication style applied to models and to get closer to the technical patterns to create them.

Since I make calculang [1], all the savings projection calculations are described using it [2] (including income tax calculations: here an example of composition in calculang models).

calculang transpiles into a pure functional JS module, and here I interact with it using reactive OJS and the closeread extension for Quarto [3], plus a reactive Vega visualization.

The programming logic mostly is: Vega signals and calculang parameters condition on a `progress` value that updates as the user scrolls.

It was nice to make: minus no fast reload I would say. I'm considering streamlining some tools with fast reload to facilitate building this type of output for calculang models - like I said I'm interested in the narrative style applied to models, and pure FP calculang and reactive FRP tools around it help a lot.