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I forgot about OSF. Here is a nice read: A chill intro to causal inference via propensity scores. Not only do we have a 16 page-long PDF, but also the accompagnying source files! (via @george_berry)
Generating Uniformly Random points on a d-sphere and d-ball. (via @Atabey_Kaygun)
Today’s lunch:

📖 Rezvani, Le magicien (Actes Sud, 2006)
Clearly, I’m not that active in the early afternoon. Either because of the lunch break or the half-life of my medication… Anyway, Timing is the best time tracking app I’ve seen in a while.

I’m in my third year with the 12-inch Macbook (generously offered by SB). It is certainly the best laptop I got in 13 years. Sometimes I feel like I miss the tiny pulsing light (aka sleep indicator) that we used to have on older metallic aluminum body ones. Well, we have backlit keyboard now, even if it is like a butterfly keyboard ;-)
7 Unix Commands Every Data Scientist Should Know. I lost track of the number of blog posts I read where the title includes “un*x commands that (data) scientists should know.” I expect that soon or later mastering deep learning techniques will be a mandatory skill as well. Anyway, this gentle tutorial is well tied up, so go read it if you want to refresh your memory.
So it seems that we will be done with The Expanse, Season 1, tonight.
Nice. I spent some time checking Dimitri Fontaine’s Github repo, in particular his advent of code in Common Lisp. I am currently reading his book on PostgreSQL, but I couldn’t resist reading some Lisp code after lunch.