The least expensive MacBook is still $1000, closer to $1500 if you spec it with reasonable storage/ram. It really isn’t that much of a stretch to add $100-300 for a 1080/1440p monitor or two at a desk.
The least expensive MacBook is still $1000, closer to $1500 if you spec it with reasonable storage/ram. It really isn’t that much of a stretch to add $100-300 for a 1080/1440p monitor or two at a desk.
I think blocking downvotes is an option built into Lemmy servers that can be communicated through the API. I know there are a decent amount of instances that don’t federate downvotes because of toxicity concerns.
In the grand scheme of things the difference between C, C++, and Python isn’t meaningful when operating over a network (edit: for a single-user system). It’s very likely that the difference for thread OP is just caused by weaker connections to specific repos.
We’re talking about a package manager, not a game, network server, etc. On a basic level the package manager only needs to download files from a network and install them (OS syscalls for reading/writing files, these are exposed C functions or assembly routines), or delegate to a specific package’s build setup (which will also likely be written in a compiled language)
It may not have been dark out but it was still pretty cool seeing shadows get messed up and seeing the sun get covered through eclipse glasses.
Definitely hoping to travel to one of the total eclipses in the later 20s/30s tho
I don’t actually think eclipse is completely terrible (just saw the opportunity for a meme). My main problem with it is that unlike intelliJ, the UI buttons don’t scale with the font size, making it pretty unusable on my HiDPI laptop.
For now I’ll just stick with IntelliJ/idea IDEs (I have access to an education license for ultimate) and then if/when Idea ruins it I’ll probably just try to integrate my Java workflow into either VS Code or an nvim setup
You’ve fallen into my trap card, I really just wanted everyone else’s eclipse photos here
For anyone else confused: in this case NLP stands for “Network location provider,” not “natural language processing”
Java is reasonably fast though, as the JRE is pretty well optimized at this point. Languages closer to being fully interpreted like JS and Python (technically both python and JS still get compiled to a lower target and then interpreted) are still noticeably slower.
Edit: there’s also the fact that JS/TS runs on a single thread, so it’s inherently limited for applications intended to be scaled up.
As a dev who works on both Java and C# code, modern Java (17+) and C# feel almost exactly the same (not sure if Java has extension methods though).
Bonus points for using Kotlin instead tho. I dislike both Java and C# just because they both allow any object to be null and that’s usually a headache whenever a null exception shows up.
The only thing I like better about C# is the Fixture library for testing. I haven’t found any mature libraries like it for Java yet.
Another big thing that doesn’t get covered by big O analysis is the potential for parallelization and multi threading, because the difference created by multi threading only amounts to one of those dropped coefficients.
And yet, especially for the workloads being run on a server with 32-128 cores, being able to run algorithms in parallel will make a huge difference to performance.