This is a bit late because I have automated something.
Sorry for being a bit late, but I was busy rewriting the automation I use to help me generate this posts from my reading. Now instead of having some AppleScript, I have
I think there would be interest in a book like
Automate the Boring Stuff with Haskell. Ping me if you’d like to see something like that, I’m starting to have plenty of personal examples.
Christopher Dresser’s Studies in Design
Short and to the point is the kind of posts I want to share with you. This is written in Go, but should be understandable regardless of your usual programming language.
Decision tables are a very lightweight and effective formal verification system.
It’s always worth remembering that everything in Python is an object
including numbers and thus carry object overhead. Using numpy is a way to avoid this overhead with numbers, for objects using
__slots__ can also have a significant impact.
This sounds like a fun weekend project. We have loads of the required ingredients from when we prepared soap at home
Some inspiring ones. And some pretty obvious ones, of course.
A form of asemic writing in p5.js (my framework of choice for generative art), that can be compressed in a tweet. Very neat, and a very good explanation.
Sigh, if I had time.
The “science” of forecasting is still pretty muddy, but this is an interesting read regardless. Also, emacs user!
Some people’s attention to detail is through the roof. Typeset in the Future is one such blog.
This is what “Photon” (mentioned before) is, or at least its announcement.
This is for a Haskell “void” function, one like
M a => M (). It indeed looks disturbing, forgetful.
This is bananas.
Photon is a vectorized query engine that seems to be experimental. Not sure if available anywhere else. Deep inside of me, I wonder if this is related to Flare. Which kind of I always assume, when “Spark” and “native code” appear together.
This is a pretty insightful post. Docker/Kubernetes style of deploys are a bit like an old comic about “
how do you upgrade your Mac” (I’m not sure if this is the original image, it’s the oldest I could find: if you know the original source let me know and I’ll change the link).
I kind of got a good laugh at this.
I’m a bit wary of this essay, since at least one fact mentioned (that Iceland had no trees) is as far as I remember false (it was eventually barren of trees due to overharvesting).
In other words, getting small wins adds momentum to the teams’ flywheel (famous metaphor from Jim Collins).
I want to have a look at the code after this post! I am also curious to see how it compares to the Java readers in Spark, for example.
The reasons are sound, and Postgres is always a good choice. For more and more things.
I only skimmed it, but the results and sources look legit.
well worth the watch.
I have only seen circle packings used for discrete complex analysis (the details are too long to write here, but it is a fascinating subject). Lamps… it’s another story.
Buy me a coffee