Sigmatics

joined 1 year ago
[–] Sigmatics@lemmy.ca 2 points 1 year ago (2 children)

Sounds like a great DRY culture to me

[–] Sigmatics@lemmy.ca 7 points 1 year ago* (last edited 1 year ago) (4 children)

Industrial workers in the 20th century probably never imagined being replaced by robots, but it’s happened on a large scale.

There's still plenty of industrial workers. The same will be true for programmers as AI proliferates.

These jobs don't go away, they just become more specialized

But I will agree with the general notion that we as programmers are incredible fortunate to be able to work from anywhere, creatively, without physical labor

[–] Sigmatics@lemmy.ca 4 points 1 year ago* (last edited 1 year ago)

It does. OSS needs visibility, it needs contributions

GitHub's community and discoverability features really help with that, as much as it sucks that they got acquired by Microsoft

[–] Sigmatics@lemmy.ca 24 points 1 year ago (5 children)

Let's be honest here, at least like 98% of the popular OSS is on GitHub at this point. You don't have to like it, but it's how things are

[–] Sigmatics@lemmy.ca 1 points 1 year ago

I'm assuming the downward trend is mostly due to ruff adoption

[–] Sigmatics@lemmy.ca 2 points 1 year ago

Can you not add an ingest throttle / queue before the writes hit the DB? But sounds like a management problem to me honestly

[–] Sigmatics@lemmy.ca 2 points 1 year ago

I don't want to know how many rushed games so stuff like this

[–] Sigmatics@lemmy.ca 42 points 1 year ago

Good, don't bother

[–] Sigmatics@lemmy.ca 2 points 1 year ago

Honestly it's the smart way. By then the hardware to play that game is also much more affordable and most of the performance issues are gone

[–] Sigmatics@lemmy.ca 5 points 1 year ago (1 children)

I mean nice, but anyone with half a brain will take a look at the code and decide for their own if they're a decent coder

Also there's star graphs over time that show the growth of a project

[–] Sigmatics@lemmy.ca 5 points 1 year ago

Yeah, this one really had me scratching my head:

✓Note: there are lots of ways we could make the Python code faster, but the point of this post isn’t to compare highly-optimized Python to highly-optimized Rust. The point is to compare “standard-Jupyter-notebook” Python to highly-optimized Rust.

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