IB Foundations of Data Science (PDF, 106 pp.). Yet another textbook for learning DS “quickly”. Beware, it relies on Python and is quite mathy.

Python for Epidemiologists: Tutorial in Python targeted at Epidemiologists. Over the last few years, I came across several attempts at bringing the Python statistical ecosystem to the Epi domain. Now trying this one. #python

TIL about Bulma, which is a free, open source CSS framework based on Flexbox. Looks like a solid and lightweight alternative to Bootstrap.

  Arno, Human Incognito.

Writing a sqlite clone from scratch in C. I already learned a lot of cool stuff by reading part of this tutorial. I’m eager to learn more. #database #clang

93% of Paint Splatters are Valid Perl Programs. So funny that you probably have to read the paper as well.

  Alain Bashung, Bleu pétrole.

Statistics for Hackers. Be sure to also check the GH repo of the author, e.g. code_py. #python

  Cigarettes After Sex, Cigarettes After Sex.

Convert images to LaTeX using Mathpix snipping tool. Maybe one day I will learn that I was wrong about the way I wrote some equations. A little test demonstrated that it works right out of the box with simple expressions:

Mine was, in this particular case:

$$ \hat f(x) = \frac{1}{nb}\sum_{j=1}^n K\left(\frac{x-x_j}{b}\right) $$