I have dropped the
Weekly from the title. It was about time.
I have skipped a week, due to writing a couple of long posts (links below) and decided to finally drop the
weekly part of these Readings.
Christopher Dresser’s Studies in Design
I have had this post a long time in the making (I finished the book a few months ago) but I had a lot of notes and I didn’t know how to organise them. I hope the end result reads well.
If you have ever wanted to run SQL from Airflow in a Databricks cluster, this will tell you how. And yes, I still don’t like Airflow.
I wanted to condense several sources into a single post, while answering the question in the title. On the technical side, this works as a summary of the
Snowflake SIGMOD paper.
This is an extremely detailed explanation of how deriving works and is used in Haskell. Probably more than you need to know, but it is a very interesting subject.
I’m still trying to wrap my head around what you can do with a
Generic instance in Haskell. Getting there.
The research showed that the combination of wearing certain clothes and their symbolic meaning led to more focused attention
I never played the original X-COM, but played a fan-made version on iOS some years ago. And it really was hard. I’m tempted now to fire up the iOS version of the rebooted franchise just for the kicks.
I only know of Factorio from tweeps that talk about it from time to time (so I know the general idea). This is some high level low level engineering.
A list of what’s coming for Scala 3. Soon!
An analysis of the game Asteroids. Size of the elements, speed, design decisions.
I read the SparkSQL paper some time ago so I may be misremembering, but I think there is a mistake here. SparkSQL still uses a Volcano execution model, it just happens to squash into whole-stage code generation phases as much as possible. The model is the same, but the code is flattened or pushed down as much as possible. I need to re-read the paper for a project I want to write, so I may update this comment at some point in time.
Someday I will have enough time to add Great Expectations to some projects
I expected the results to be better, but I suspect it’s due to the subject not being in foveal focus during the animation.
If you eat grapefruit, this will scare you shitless.
Topological sort, annotated types, nicer generics… and teapot status codes. And a few more.
Rob Pike (yes) talking about what color blindness implies and how it happens (and what effects it has on him). Pretty interesting (similarly to the pomelo/citron stuff)
I had somehow forgotten AQE was a thing. I wonder if probe-side optimisation in distributed hash joins could be added to AQE…
Looking forward for when this is available on ghcide.
I found this week’s free edition of The Diff newsletter particularly interesting.
Hobby level machine learning tools is what will eventually open AI for everybody
This short article about the economic space between Redshift and Snowflake is a good complement to my post above.
A very detailed post by
Albert about how they use K8s and ArgoCD at Typeform.
These are some distressing pictures.
Pretty complete, although a bit long winded.
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