I’m quite happy actually with how Spacemacs handles LSP for various modes I make regularly use of (Python, JS, C), thanks to the wonderful lsp-mode. Today, I discovered that there’s another “universal” package, eglot, for dealing with all available servers. (via @hillelogram) #emacs

Nice finding today! Just when I thought I would need to write a full macOS native app for viewing Fasta files or MAFFT-aligned sequences, I found it already exists, and it’s so much faster and prettier than Jalview. Thank you so much Mathieu Fourment! #bioinfo

The Computer Language Benchmarks Game. (via Daniel Lemire)

Typing is not the problem. Nice take! This came just after reading Tom’s last post, where I also learned about conventional commits. The latter reminds me that at some point I was using some ideas from Modern Emacs to highlight commit leaders.

  Belle and Sebastian, If You’re Feeling Sinister.

A successful Git branching model. See also What is wrong with this. Personally, I found that the Atom team has a pretty nice setup for working with stable and beta version.

relies on

I remember the time when I was using PLINK to perform genome-wide analysis, before I switched to David Clayton’s excellent snpMatrix R package. Now, it looks like some folks are interested in using Julia for this stuff. #julia

📖 Grégoire Delacourt, Mon père (JC Lattès, 2019)

  Bill Evans, You Must Believe in Spring.

Still no idea which TV series to watch, nor what to look for in this evening. So I’ll keep posting (not so) random links that have been hanging around on my iPhone for weeks:

• Time Series Analysis, by Kevin Kotzé
• Feather, CSV, or Rdata, by Vince Buffalo
• pandas 2.0 Design Documents, by the Pandas team
• Intervention Analysis, from the PennState Eberly College of Science
• If not SICP, then what? Maybe HTDP?, by Steven Rosenberg
• Matrix Algebra proGrams In Common Lisp, by Rigetti Computing
• Now You C Me, by Davis Vaughan
• Codex Seraphinianus, by John Borwick
• Reading large CSV files in R, on SO
• Advent of Code in Lisp, by Dimitri Fontaine
• Marijn Haverbeke’s homepage
• Modern Regression Analysis (PDF), by James C. Slaughter
• Variance reduction in randomised trials by inverse probability weighting using the propensity score, by Williamson et al.
• David Gohel’s Github account
• Should we ignore covariate imbalance and stop presenting a stratified ‘table one’ for randomized trials?, on Frank Harrell’s Discourse
• A Python package for exploring and analysing genetic variation data
• Replacing Disqus with Github Comments, by Don Williamson