Databricks launches Lakewatch, a security information and event management service, and announces acquisitions of security startups Antimatter and SiftD (Jordan Novet/CNBC)
https://www.cnbc.com/2026/03/24/databricks-cybersecurity-lakewatch-ipo.html
Notes on contributing to WebExtensions in WebKit: https://dotproto.com/2026/01/26/notes-on-contributing-to-webextensions.html
The way Dodford pulls off a narrative arc for a half-hour-long biopic almost entirely out of quotes and clips never ceases to amaze me.
The Vanishing of Ryan Gosling.
https://www.youtube.com/watch?v=12GADjataDQ
🇺🇦 #NowPlaying on KEXP's #MorningShow
Dehd:
🎵 Mood Ring
#Dehd
https://dehdforever.bandcamp.com/track/mood-ring
https://open.spotify.com/track/1GSTBJv8vb5zgiKtERUrf8
Please 🔁 BOOST to share what you like
- your followers don't see if you ⭐ favourite a post
Sehr gute #Doku mit @… wie #DatabrokerFiles gehandelt werden.
«Gefährliche Apps - Im Netz der Datenhändler:
Anyone (know someone who) knows someone that works on Anthropic's Claude in Chrome extension?
I'm a co-chair of the WebExtensions Community Group and I'd love to learn about the team's experience building this extension. Retoots welcome 😊
I was using the Python csv library for a script but decided I should dig into the pandas DataFrame stuff instead.
It was more complex, and it took me awhile to figure things out, and I had to read a bunch of web pages explaining things.
But in the end, I am 100% happy I did it that way.
I did not want to ask some AI/LLM for the answers, or to write the code for me.
Because for me, the struggle and the journey is part of creating something worthwhile.
from my link log —
What category theory teaches us about dataframes.
https://mchav.github.io/what-category-theory-teaches-us-about-dataframes/
saved 2026-03-29
Databricks raised $5B in funding and $2B in new debt at a $134B valuation and says its annualized revenue exceeded $5.4B for the January quarter, up 65% YoY (Jordan Novet/CNBC)
https://www.cnbc.com/2026/02/09/databricks-completes-5-bil…
from my link log —
Towards scalable dataframe systems.
https://arxiv.org/abs/2001.00888
saved 2026-03-29 https://dotat.at/:/6GM7U.html