Here’s a summarization of the summary (also done by AI, because lazy):

The author recalls his initial reluctance to speak publicly after a past misstep and later revisits the subject by examining how movies, such as 2001: A Space Odyssey and WarGames, dramatize computers. He contrasts these cinematic portrayals with the subtle influence of everyday technologies like email and PowerPoint, and criticizes modern development tools like Visual Studio and IntelliSense for potentially diminishing deep coding skills. Ultimately, he champions a return to fundamental programming to rediscover the pure joy of coding.

FFS, you could just have run gzip on it probably.

Gzip doesn’t reduce your data’s size by 2000x. Of course this could be done by other languages as well, but running gzip on your data doesn’t keep it accessible.

Even turning the data into a Parquet file would’ve been a massive improvement, while keeping it accessible, but it likely would not have been 2000x smaller. 10x, maybe.

edit: zip: about 10x; 7zip about 166x (from ~10GB to 60MB) - still not 2000x

Until you use exit codes, which flips the logic.

Multiple ones.

• Wave Function Collapse for an existing tileset (Warcraft 2) - it’s really hard to figure out how to build the data on whether a tile fits on a certain side of another tile. From the top of my head: Some 180 tiles total * 4 sides to compare * 180 options per side = 129_600 total checks I would need to do, which is just wayyy too much. Need to figure out how to reduce these checks (or automate them using OpenCV or something - not sure yet)
• Comparing dual datasets of people who worked on certain games (the games being all Warcraft games), so I can see who worked on Game A, who on Game B, and who on both. Am currently (manually) cleaning up the data, because Blizzard has been very inconsistent in how they structure their credits. At least WoW had everything available in HTML - having to manually copy over 600+ people would be no fun (per expansion).
• A cryptocoin predictor for my friends and I. One part ingestion from an API into a Postgres DB, one part Streamlit + some stats / data science stuff that I’m very much a beginner in. The platform we’re on doesn’t provide much predictive power. Using the typical Simple Moving Averages and the like simply doesn’t predict clearly enough, IMO.

Oh, and I’m also setting up a private ProxMox server, over at a friends house, and need to connect that to the NAS over at my house, so we can copy over our data for redundancy/backup purposes.

I’m bouncing between these projects.

How is Nifi? I’ve seen it pass by at work, as a generic ingestion application, but for most ingestions we’re using custom-written Python for better flexibility.

I’ve never worked with it, but it looked pretty daunting (as an initial view).

I dont know… This Linux thing is pretty great, IMO.

I get their point, but it feels like it’s more about tech being abused by large corporations, trying to squeeze another cent out of you.

As Jake the Dog said: “Sucking at something is the first step towards being sorta good at something.”

• Might not want to share your personal information publically - That information is PII and in western countries need to be handled with care.
• When I hover my mous on the top menu my mouse shape is for text, not clicking
• The cards are of different sizes. Makes it look weird.
• Look into Polars. Read their User Guide. Better API (no weird use of brackets[[]]), faster, nicer to work with than Pandas (and can still convert to Pandas, just in case).
• Not a big fan of all the <div><div><div><div> - Use <nav>, <article> (semantic HTML). You can find details on the HTML spec page: https://html.spec.whatwg.org/dev/ (you should look at chapter 4). Maybe also looks into CSS Box Model instead of using flex all over the place :)

NPM

Nginx-Proxy-Manager. Got it.

I didn’t read the parent comment well enough and was wondering what the Node Package Manager had to do with anything 😂

vscode with the built-in Emmet support.

Emmet isn’t intimidating, unless you don’t know CSS, in which case it is extremely intimidating.

a+b:
<a href=""></a><b></b>

a>b:
<a href=""><b></b></a>

a*2:
<a href=""></a><a href=""></a>

div.yeet:
<div class="yeet"></div>

A combination:
a>b+i*2.dollah:
<a href=""><b></b><i class="dollah"></i><i class="dollah"></i></a>

That’s 99% of what you need to know to get started with Emmet.

Anyway, I used to write 100% hand-written HTML, but switched to using Hugo because: Go’s built-in Templating language I knew from working with K8S, build-times are sub-second, and I can write a page in either Markdown or HTML, whichever I need (or even mix in some HTML in the Markdown!)

Because of hugo I don’t need to mess around with repeating parts (like the nav menu).

Only downsides:

• it strips the comments, which I would’ve loved to leave in for people to read
• the formatting is my favorite, so I format with prettier before committing

I use git submodules to have the public/ folder be my Github Pages host repo, so I can just muck about locally, while I do a rebuild (which changes the files in the submodule). Only after a commit, I’ll effectively publish the website.

Check out the website (mostly for the HTML - the articles are… meh): https://thaumatorium.com/ (no trackers, so no Cookiewall nonsense either :D)

BlueSky actually is federated, AFAIK: https://docs.bsky.app/docs/advanced-guides/federation-architecture

It does use its own protocol (AT instead of ActivityPub)

Can I slap a decorator on a Bash function? I love my @retry(...) (via tenacity, even if it’s a bit wordy).

Basically a wrapper to run rust scripts right from the command line.

Isn’t that just Python? :v

Because rules are meant to be broken :3

Space Marine 2 is sharp AF BTW. Also not Unreal Engine, but the Swarm Engine, BTW.

The texture detail in that game is crazy, even though you normally don’t see most of it because it’s too small.

It also has a really fun gameplay loop, that I haven’t felt in a while. Good shit.

Luck should be taken into account. Once you are done with your degree, perhaps the market will have recovered a bit, because I’m hearing a lot of negative feedback lately.

edit: If you’re not sure, you can take a peek at this graph of free MIT YouTube courses. Choose something interesting on the right, then figure out where to start on the left to get to your chosen point. Each course can easily take about 100 hours, which sounds a lot, but if you do them you can take that knowledge and more easily extrapolate information in the future.

https://forgejo.org/static/forgejo.mp4

It’s 2024, there’s no reason we should be afraid of non-ASCII characters.

I use an American layout and don’t have a numpad :(

https://html.spec.whatwg.org/

This is where they (WHATWG) specify HTML. MDN may have been crucial some day in the past, but that had been way past.

especially when doing data science

500MB for Ray, another 500MB for Polars (though that was a bug IIRC), a few more megs for whatever binaries to read out those weird weather files (NetCDF and Grib2).