How do I… (but not why)

How do I build this site
I like speed so I use Hugo and a modified version of the even theme. A lot of cool guys are using the Academic theme, but I don’t like to do like everyone (the same applies when using default Beamer templates), and it doesn’t look that pretty, IMHO. Previously, I was editing the site using custom handcrafted HTML files. That was painful but I kept everything under control. Now this is all about HTML5, CSS3, SASS, FontAwesome, etc. I am getting older and I have less time to play with new technologies. This is it. The old site is dead. Long live the new site!
What editor do I use
I use mostly vanilla Emacs or a frameworked version (e.g., Spacemacs, Doom). I’ve tried other text editors in the past but I was always missing some of Emacs or Vi functionalities. I choose Emacs over Vi long ago, and I am happy with that. Don’t reagrd this as my minor contribution to the continuing war between evil and God proponents. I don’t have a religion (even if you bring me some data).
What software do I use
Over the years, I have installed and used (or forget to use) many Mac apps until I realized that some were just not matching the way I work. No need to try again and again. Everyone has his own GTD—whether it works or not is another matter—and there is simply no point trying to do like the others. These days, I tend to stick with few apps on my 12″ Macbook, and I provide some review from time to time.
Why open source and closed software
I spent almost 15 years using the R statistical package, although I may also happen to use Stata or Mathematica. Is it worth a debate? I like open source software and I use a lot of them on a daily basis, but I may also buy good software if they do the job and I feel comfortable using them. If you swear by R, please take a(nother) look at Stata documentation. If you say there is nothing better than running SymPy in a Jupyter notebook, try Mathematica.
What is my preferred programming language
I like C, Common Lisp and Python. These days, I am mostly diving into Clojure, Racket and Swift, with a bit of Javascript and Rust. Usually, being able (1) to fire an REPL for quick scripting, (2) to use efficient data structures and/or FFI and (3) to rely on good visualization backends are a plus. After all, this is usually what we expect for statistical computing and data science.
Where do I find all those informations on the www
I consult my Twitter account two or three times a day; I read some articles on arXiv; I follow some cool and bright people on the internet (here is an OPML file for your RSS reader if you like), especially their blog or GitHub accounts. Want some names? Here we go (in no particular order): Evan Miller, Tom MacWright, John D Cook, Atabey Kaygun, John Myles White, Darren Wilkinson, Dirk Eddelbuetel, Peter Ellis, Jan de Leeuw, Frank Harrell, Seth Brown, Ben Klemens, Mike Bostock, Radford Neal, Jeffrey M Heer, Peter Norvig, Allen Downey, Jack Baty, Brett Terpstra, Eli Bendersky, BSAG.
Is there a photo of me somewhere
Sure. Here you are!