esturcke
Re:Donald Knuth's 2024 Christmas Lecture: Strong and Weak Components [...
on Friday February 07, 2025 @02:53PM (#42976754)
I love how he handles questions: https://youtu.be/Hi8r_63LGyg?t=827. He takes the time to understand what was being asked and answers very clearly.
Re:Squarespace to Go Private in $6.9B All-Cash Transaction with Permira
on Monday May 13, 2024 @04:07PM (#40347771)
Thanks, I will try that next time I have to migrate.
Re:Squarespace to Go Private in $6.9B All-Cash Transaction with Permira
on Monday May 13, 2024 @02:17PM (#40346456)
I transferred 6 domains to porkbun and it was about 2 days to get the code and 5 days to transfer. Mostly painless, but DNS records were not copied over. I tried to see if I could manually copy them over in advance, but I got an error with porkbun. I probably didn't know how to do it correctly, but I needed up with a couple minutes of downtime. I don't remember having to do anything when I went from namecheap to google, but that was a while ago.
Re:Deno 1.33: Deno 2 is coming
on Saturday April 29, 2023 @01:08PM (#35754802)
Not the goal of Deno, but right now it’s my favorite way to write single-file CLI scripts paired with zx. All the dependencies are defined at the top of the file and auto installed, TS for static type checking and familiarity, good ESM support, easy to shell out when things are easier with Bash, colors and arg parsing. Not sure I would pick it for anything in production but pretty close to my ideal for quick and dirty things.
Re:Ask HN: What is the best book on data visualization in 2021?
on Monday December 06, 2021 @11:35AM (#29461877)
Colorgorical is neat (http://vrl.cs.brown.edu/color). It combines previous work on judging categorical color palettes based on discriminability/aesthetics/etc and presets a generator to find new palettes with various constraints.
Re:Ask HN: What is the best book on data visualization in 2021?
on Monday December 06, 2021 @09:39AM (#29460219)
This is my pick as well. Very nice survey with an academic/formal approach. I enjoy the emphasis on understanding the what (data)/why (tasks) before getting to the how (vis). She also emphasizes analysis and validation.
She also had a workshop last IEEEVis that’s a nice summary of her book: https://m.youtube.com/watch?v=_sFzBmQeCLY