TIL about lei: Using lei, b4, and mutt to do kernel development.

Non-Euclidean Geometry Online: a Guide to Resources: As the title suggests, a bunch of online resources to learn more about elliptical and hyperbolic geometries.

GNU Parallel, where have you been all my life?: Yet another nice example of why parallel is such a great program. I learned to use it a while ago, after having read Jearoen Janssens’ wonderful book, Data Science at the Command Line, in its first edition. BTW, the 2nd edition is available online for free.

Home sweet home.

Usually I send read-only documents to clients. They don’t know or care what program created the PDF I sent them. The fact that they cannot edit my reports is a feature, not a bug: if I’m going to sign off on something, I need to be sure that it doesn’t include any changes that someone else made that I’m unaware of. Convert LaTeX to Microsoft Word

I used to do the same for years when I was consulting. Main issue was tabular output, which can be beautifully rendered in $\LaTeX$, but not so in plain MS Word.

Data-oriented design takes its cues from the data which is seen or expected. Instead of planning for all eventualities, or planning to make things adaptable, there is a preference for using the most probable input to direct the choice of algorithm. Instead of planning to be extendable, it plans to be simple and replaceable, and get the job done. Extendable can be added later, with the safety net of unit tests to ensure it remains working as it did while it was simple. Luckily, there is a way to make your data layout extendable without requiring much thought, by utilising techniques developed many years ago for working with databases. — Data-Oriented Design

Desktop Linux Hardening. Lot of useful advices in this article. E.g.,

snapd (Snap) assigns a unique ID to your installation and uses it for telemetry. While this is generally not a problem, if your threat model calls for anonymity, you should avoid using Snap packages and uninstall snapd.

Moving Blazingly Fast With The Core Vim Motions, but see the whole tutorial. The author makes use of sound illustrations and takes us on a tour of Vim’s core concepts, with casual or VS Code users in mind. #vim

Just found out that we can get cover art with cmus thanks to this fork!

Functional Programming in Data Science Projects: Interesting thoughts about FP for statistical computing. Another take was once available on Brian Lee Yung Rowe’s weblog, soon to be published as Modeling Data With Functional Programming In R. Thomas Mailund also wrote some words about that approach (see Functional Data Structures in R). And of course, Mathematica with its native support for multiple programming paradigms would be a good candidate too. #statistics