You may be interested in Ferrocene[0], a version of the Rust toolchain that is vetted for critical systems like automobiles. It's offered by Ferrous Systems, the same people who help maintain Rust Analyzer (the de-facto LSP for Rust).
Check out the Rust's documentation page on platform support[0]. You'll be able to find the full list of supported platforms, as well as the target tier policy, and specific target requirements and maintainers.
For those curious, this is the link[0] to the filesystems talk with the relevant timestamp. A bit more was discussed in this[1] article as well about Wedson Almeida Filho leaving.
> On my personal computer, a 2013 MacBook, it uses more like 50 and starts darn near instantaneously.
Just for clarification, do you mean 50 GiB or 50 MiB? I'm assuming MiB in this scenario, since allocating 50 GiB doesn't mix with an instantaneous startup.
There is a Rust tool named `generate-release` within the website repository[0]. It handles interacting with the Github API to get a list of significant changes, breaking changes, and contributors. (The main Bevy repository has pull request labels for all of these, so this is pretty easy.)
Agreed. I built my personal website with Nuxt Content, but I'm not satisfied with it. It forces you to do a lot of things yourself and is definitely targeted towards dynamic websites. Since I am building for Github Pages, I found it quite unintuitive.
I would recommend using VitePress, Zola, Jekyll, or some other tool instead if you need an SSG.
Don't worry, you still can! I've been actively contributing to the past 4 months, working on improving CI and the website. I started out doing PRs for typos and little improvements, and so can you! (I recommend looking for issues marked as "Good-First-Issue," they are the best entry-level things to work on.)
Yup, I remember watching a video about how the RAM bus is the bottleneck when running Super Mario 64 on the N64. The original implementation used trig lookup tables, but the person optimized it by instead using Taylor series (I think) and some negation / shifting.
I would argue that Python does not inhibit this project as much as you imply. There are multiple benefits to Python, such as:
- A built-in dictionary type, used for indexing words
- Clean and easy to read code, which is one of Python's core strengths
- It's fast to draft code in, perfect for toy programs
- Easy async support, which the author comments on
- Plenty of libraries to do the heavy lifting of tasks not focused on by the post, such as hosting a web server, rendering template HTML, and parsing CLI arguments
Yes, Python is not fast relative to C or Rust, but it's perfect for this type of project.