I do in fact use unrefined, brown cane sugar, although I have not tried panela specifically.
The one I use pretty much looks like this:
It’s an organic fair trade brand, but I’d have to look up where it is imported from.
As I said, I can’t imagine making it with any other kind of sugar any more. Sorghum seems like an interesting idea, might have to experiment with that.
The key to amazing banana bread is to make it with soft, brown sugar. The stuff that is clumpy, glistening with moisture, reminiscent of molasses. It adds so much to the flavor. And actual nuts, of course.
I did that on purpose, i. e. I wanted to confirm your thoughts about uv, drifted off into a general rant, remembered OP’s original question and later realized it would have been better framed as a top level comment. In my defense, I was in an altered state of mind at the time.
pyenv and uv let you install and switch between multiple Python versions.
As for uv, those come from the Python build standalone project, if I remember correctly, pyenv also installs from there, but don’t quote me on that.
I moved all our projects (and devs) from poetry to uv. Reasons were poetry’s non standard pyproject.toml syntax and speed, plus some weird quirks, e. g. if poetry asks for input and is not run with the verbose flag, devs often don’t notice and believe it is stuck (even though it’s in the default project README).
Personally, I update uv on my local machine as soon as a new release is available so I can track any breaking changes. Couple of months in, I can say there were some hiccups in the beginning, but currently, it’s smooth sailing, and the speed gain really affects productivity as well, mostly due to being able to not break away from a mental “flow” state while staring at updates, becoming suspicious something might be wrong. Don’t get me wrong, apart from the custom syntax (poetry partially predates the pyproject PEP), poetry worked great for us for years, but uv feels nicer.
Recently, “uv build” was introduced, which simplified things. I wish there was an command to update the lock file while also updating the dependency specs in the project file. I ran some command today and by accident discovered that custom dependency groups (apart from e. g. “dev”) have made it to uv, too.
“uv pip” does some things differently, in particular when resolving packages (it’s possible to switch to pip’s behavior now), but I do agree with the decisions, in particular the changes to prevent “dependency confusion” attacks.
As for the original question: Python really has a bit of a history of project management and build tools, I do feel however that the community and maintainers are finally getting somewhere.
cargo is a bit of an “unfair” comparison since its development happened much more aligned with Rust and its whole ecosystem and not as an afterthought by third party developers, but I agree: cargo is definitely a great benchmark how project and dependency management plus building should look like, along with rustup, it really makes the developer experience quite pleasant.
The need for virtual environments exists so that different projects can use different versions of dependencies and those dependencies can be installed in a project specific location vs a global, system location. Since Python is interpreted, these dependencies need to stick around for the lifetime of the program so they can be imported at runtime. poetry managed those in a separate folder in e. g. the user’s cache directory, whereas uv for example stores the virtual environment in the project folder, which I strongly prefer.
cargo will download the matching dependencies (along with doing some caching) and link the correct version to the project, so a conceptual virtual environment doesn’t need to exist for Rust. By default, rust links everything apart from the C runtime statically, so the dependencies are no longer neesed after the build - except you probably want to rebuild the project later, so there is some caching.
Finally, I’d also recommend to go and try setting up a project using astral’s uv. It handles sane pyproject.toml files, will create/initialize new projects from a template, manages virtual environments and has CLI to build e. g. wheels or source distribution (you will need to specify which build backend to use. I use hatchling), but thats just a decision you make and express as one line in the project file. Note: hatchling is the build backend, hatch is pypa’s project management, pretty much an alternative to poetry or uv.
uv will also install complete Python distributions (e. g. Python 3.12) if you need a different interpreter version for compatibility reasons
If you use workspaces in cargo, uv also does those.
uv init, uv add, uv lock --upgrade, uv sync, uv build and how uv handles tools you might want to install and run should really go a long way and probably provide an experience somewhat similar to cargo.
I’ll post some links, but it’s a pretty busy week for me already, so give me some time.
An interrupt is an input that can be triggered to interrupt normal execution. It is used for e. g. hardware devices to signal the processor something has happened that requires timely processing, so that real-time behavior can be achieved (for variable definitions of real-time). Interrupts can also be triggered by software, and this explanation is a gross oversimplification, but that information is what is most likely relevant and interesting for your case at this point.
The commands you posted will sort the interrupts and output the one with the highest count (via head -1), thereby determining the interrupt that gets triggered the most. It will then disable that interrupt via the user-space interface to the ACPI interrupts.
One of the goals of ACPI is to provide a kind of general hardware abstraction without knowing the particular details about each and every hardware device. This is facilitated by offering (among other things), general purpose events - GPEs. One of these GPEs is being triggered a lot, and the processing of that interrupt is what causes your CPU spikes.
The changes you made will not persist after a reboot.
Since this is handled by kworker, you could try and investigate further via the workqueue tools: https://github.com/torvalds/linux/tree/master/tools/workqueue
In general, Linux will detect if excessive GPEs are generated (look for the term “GPE storm” in your kernel log) and stop handling the interrupts by switching to polling. If that happens, or if the interrupts are manually disabled, the system might not react to certain events in a timely manner. What that means for each particular case depends on what the interrupts are being responsible for - hard to tell without additional details.
I shudder to think OP’s post was written by an actual person…
Side note: please don’t abuse the word “toxic” until it becomes absolutely meaningless. Let’s keep that to a more fitting context, having a
I was expressing an obviously personal opinion about the language itself, which is objectively a dull, barren wasteland that sucks out your soul while you walk it. That is precisely the reason why it’s so widespread and loved by business entities and managers - there is no excitement, no surprises, just an everlasting monotony of keys clicking produced by a horde of clones wearing button-down shirts while sitting in absolute identical cubicles, creating yet another instance of FactoryProducer. It’s very easy to plan and schedule for, while at the same time being unnecessarily verbose and mildly unproductive (compared to other languages).
Look, the JVM is fine, just pick another language. There is plenty of work doing Kotlin. But yes, if you’re doing this only for the money, go ahead. I’ve always been unable to separate my job fromy personal life and my other interests, I couldn’t imagine being cursed by Java again.
If you can sit somewhere for 8 to 10 hours each day, doing something that isn’t fun and separate yourself from it, not going insane, all the power to you. I also get that not everyone has the luxury of picking their favorite toy and making it their job, but I firmly believe there are options that are not Java.
Now, if you’re one of the rare types that actually enjoys Java, meet me in the closest Denny’s parking lot, I need your cranial measurements.
Please note: this post contains hyperbole and humor. I don’t hate any of you, I just hate Java
I wrote some allocators for IBM’s JVM eons ago, I get that. As much as I hate Java, I wish it would be related this time.
Unfortunately, I was talking about the Joe Rogan Experience.
Deezer also doesn’t host JRE and they didn’t provide a platform for literal nazis, so advantages all around.
My personal recommendation:
Pick up Python, it’s easy to learn and highly productive. If you also learn fastAPI, you can benefit from highly validated, declarative models to build REST APIs in the backend, well fast. It will yield quick results, you won’t become demotivated and you can pick up a paid project soon.
Pick up Rust. It’s “in” right now and I get requests from marketing people that know nothing about programming, asking if their project could be implemented in Rust
Go with memorizing the shell commands first, try to understand git later. Get productive, try to get where you were with e. g. svn or cvs. If you are comfortable, look at something in depth if you have a problem that you can’t solve with the knowledge you have.
Fuck Java, seriously.
You have commercial interests, so it is probably wise to look into becoming a fullstack dev to maximize the kind of projects you can do. Look into React, vue.js, svelte. React is probably still the most widely used framework, you’ll quickly do a project with vue.js and svelte is a super interesting look into things to come.
It is, probably. But I did a check before I posted and it did display content from Lemmy. Just pointing out alternatives here.
I think Fedilab should do both:
Have you tried taking a break from your medication to reset? Mine even recommends doing that every now and then in the leaflet.
Just make sure not to simply stop taking it, and talk to your doctor first.
Yeah, in general, that’s true. Unfortunately, that’s not the whole truth, as usual. I found these sites helpful:
https://www.velotricbike.com/blogs/story-landing/electric-bike-laws-by-state
https://www.peopleforbikes.org/electric-bikes/state-laws
IMHO, there is too much legal fragmentation and a discrepancy between the federal classification and the treatment of e-bikes as regular bikes. I also prefer the slower speed limits and simplified classification most EU member states adopted (15mph, 250W continuous motor power)
I lift and I sew. Fuck that noise, you do you.
Yes, that is absolutely correct.