Numerical Tours of Data Sciences, feat. Python, Julia and R.

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.