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