2020#65 Readings4 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.
🍿 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
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.
Cataloniae principatus novissima et accurata descriptio
An impressive map of Catalonia in 1608.
🐦 Twitter thread about image tips
This is a thread with tips for how to set up images for twitter. Very useful now that I am writing more twitter threads.
🍿 Why are British place names so hard to pronounce?
This was a fun and very British watch.
Amazon Redshift announces support for native JSON and semi-structured data processing (preview)
It may be a tad too late. We are moving a lot of our batch/slow-ish processing to Databricks: scalability is much, much better.
Financial Times Data Platform: From zero to hero
A whirlwind tour of data technologies and how the Financial Times has changed their data architecture as requirements changed.
SQL style guide by Simon Holywell
The Best Medium-Hard Data Analyst SQL Interview Questions
Huh, I have seen harder stuff in the wild. These don’t seem that hard.
How one word in PostgreSQL unlocked a 9x performance improvement
Didn’t know about
RETURNING, might come handy.
Ray Marching and Signed Distance Functions
Fascinating! Another tool for the generative art belt.
The Army Rolls Out a New Weapon: Strategic Napping
Better than strategic napalm.
Analyzing Minard’s Visualization Of Napoleon’s 1812 March
This is one of the most famous visualizations ever.