📖 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.
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.
Exterminate Magit buffers: Quite useful tip if like me you happen to kill your
Magit buffers by hand.
Viewing Matrices & Probability as Graphs. With great illustrations. For those
interested in catgeory theory, the other posts are worth a look too. See, e.g.
this booklet on arXiv (PDF, 50 pp.).
time? gnomon is a command line utility to prepend timestamp
information to the standard output of another command.
As I am using Postgresql a lot these days, I thought I would import a large CSV
file (1 Go) to see if I can play with in-database tools from dplyr & Co. I will
probably need this for work so it’s worth the effort. I started with a Stata
file that I read using haven, and I converted it to a CSV using
data.table::fwrite. This already eated up all my RAM. Now, I’m using csvkit to
import the CSV file into a Postgresql local database. Well, it says a lot about
Just added to my Papers list: Mean and median bias reduction in generalized
linear models. See also the brglm2 R package.
Okay, so it looks like we started with season 2 of The Expanse instead of season 1. Great! That may well explain why we didn’t understand anything during the first episodes.
Prompted by a recent Twitter question, I was about to benchmark some R packages
to process large files. However, there already seems to be a very nice post
about this: Working with pretty big data in R.
Today was my first attempt at building a Flask site, using a boilerplate Bootstrap theme, and a Postgresql backend. Done. On reflection, I wonder why I continue to maintain PHP websites.
Anatomy of a logistic growth curve, by Tristan Mahr. Nice looking visualization
and clearly a non mathy but well put explanation of the logistic curve. I wish I
read this earlier, when I started teaching psychometrics.
Trying out Travis CI for a Bookdown project. I’m already at the third failure
and it starts to be painful.