2020#65 Readings

December 20, 2020 4 minutes read | 851 words by Ruben Berenguel

My reading list is at less than 10 items, so now my readings posts will hopefully look closer to watchings. My watch-later list is at more than 90.

Also this week, I got a paper we submitted 3 years ago accepted after a very short revision (less than 2 weeks) cycle. It will appear on the Journal of Difference and Differential Equations with the title Normal forms and Sternberg conjugation theorems for infinite dimensional coupled map lattices. I will be adding a preprint version to ArXiV at some point.

Christopher Dresser’s Studies in Design — Christopher Dresser’s *Studies in Design*

🍿 The Electronic Coach

This is so 50s, and so awesome. Don Knuth used a computer to analyse the university basketball team to improve results.

Partial Evaluation, Futamura Projection And Their Applications

This is a clear exposition on Futamura projections, and even how it (almost?) relates to Pypy and RPython.

🍿Ray: Enterprise-Grade, Distributed Python

This works as a good introduction to Ray, although the use of Spark seems to be forced (it’s a talk in Spark Summit after all).

🍿 Exploring kinetic typography with Three.js

This year’s Github Universe had a very cool track with generative stuff.

🍿 Exploring generative spaces: a quickstart to generative art

I have found no SVG to be an issue for several of my designs… I need to have a look at paper.js (I checked a tutorial already, see it below) and possibly port some of my p5.js sketches

Why use a radial data visualization?

This is top informational material in an Observable notebook, very interactive.

The Easy Paper.js Tutorial, building flat animated shapes with @PaperJS

I’m not terribly interested in Paperscript, I’m (un?)happy enough with plain old Javascript. But an SVG powered, canvas-ready library sounds better for many of my creations, which are not dynamic anyway and would benefit from higher resolution and vector graphics.

Why Senior Engineers Hate Coding Interviews

Pretty much yeah. I didn’t even study computer science (I had some courses though, I started after maths but since I was teaching in the same department I could not stay), so I haven’t traversed trees or solved some of these problems in 20 years (since my first year “CS” in the Maths degree). What I do is get shit done. Interview me for that.

Foo to Bar: Naming Conventions in Haskell

This is awesome. It makes sense, matches with what I have read, and matches with how other languages work (like readers and writers in Go). And particularly, with mathematics, where you would use r as a natural number only if referring to a differentiability (or when you have many, many natural numbers).

These stunning images of snowflakes will make you see winter in a whol

Damn, where can I find these high-res?

Physicists Prove Anyons Exist, a Third Type of Particle in the Universe

Related: Computing with quantum knots Back when I was studying algebraic topology, a friend and I collected a few articles talking about this area, using anyons (which still were more or less theorised to exist, and were being looked for in super-chilled fluids IIRC) for topological quantum computing.