rfcs VS actix-web

RFC: Add large language models to Rust

https://github.com/rust-lang/rfcs/pull/3603

Man, SO and family has really gone downhill. That top answer is absolutely terrible. In fact, if you care, you can literally look at the RFC discussion here to see the actual debate: https://github.com/rust-lang/rfcs/pull/582

Basically, `for x in y` is kind of redundant, already sorta-kinda supported by itertools, and there's also a ton of macros that sorta-kinda do it already. It would just be language bloat at this point.

Literally has nothing to do with memory management.

Congrats!

> Similarly, uv does not yet generate a platform-agnostic lockfile. This matches pip-tools, but differs from Poetry and PDM, making uv a better fit for projects built around the pip and pip-tools workflows.

Do you expect to make the higher level workflow independent of requirements.txt / support a platform-agnostic lockfile? Being attached to Rye makes me think "no".

Without being platform agnostic, to me this is dead-on-arrival and unable to meet the "Cargo for Python" aim.

> uv supports alternate resolution strategies. By default, uv follows the standard Python dependency resolution strategy of preferring the latest compatible version of each package. But by passing --resolution=lowest, library authors can test their packages against the lowest-compatible version of their dependencies. (This is similar to Go's Minimal version selection.)

> uv allows for resolutions against arbitrary target Python versions. While pip and pip-tools always resolve against the currently-installed Python version (generating, e.g., a Python 3.12-compatible resolution when running under Python 3.12), uv accepts a --python-version parameter, enabling you to generate, e.g., Python 3.7-compatible resolutions even when running under newer versions.

This is great to see though!

I can understand it being a flag on these lower level, directly invoked dependency resolution operations.

While you aren't onto the higher level operations yet, I think it'd be useful to see if there is any cross-ecosystem learning we can do for my MSRV RFC: https://github.com/rust-lang/rfcs/pull/3537

How are you handling pre-releases in you resolution? Unsure how much of that is specified in PEPs. Its something that Cargo is weak in today but we're slowly improving.

In the early days of Rust there was a debate about whether to support "green threads" and in doing that require runtime support. It was actually implemented and included for a time but it creates problems when trying to do library or embedded code. At the time Go for example chose to go that route, and it was both nice (goroutines are nice to write and well supported) and expensive (effectively requires GC etc). I don't remember the details but there is a Rust RFC from when they removed green threads:

https://github.com/rust-lang/rfcs/blob/0806be4f282144cfcd55b...

I did some more digging. By RFC 899, I believe Alex Crichton meant PR 899 in this repo:

https://github.com/rust-lang/rfcs/pull/899

Still, no real discussion of why unbuffered stderr.

Rust has had a stable SIMD vector API[1] for a long time. But, it's architecture specific. The portable API[2] isn't stable yet, but you probably can't use the portable API for some of the more exotic uses of SIMD anyway. Indeed, that's true in .NET's case too[3].

Rust does all this SIMD too. It just isn't in the standard library. But the regex crate does it. Indeed, this is where .NET got its SIMD approach for multiple substring search from in the first place[4]. ;-)

You're right that Rust's standard library is conservatively vectorized though[5]. The main thing blocking this isn't the lack of SIMD availability. It's more about how the standard library is internally structured, and the fact that things like substring search are not actually defined in `std` directly, but rather, in `core`. There are plans to fix this[6].

[1]: https://doc.rust-lang.org/std/arch/index.html

[2]: https://doc.rust-lang.org/std/simd/index.html

[3]: https://github.com/dotnet/runtime/blob/72fae0073b35a404f03c3...

[4]: https://github.com/dotnet/runtime/pull/88394#issuecomment-16...

[5]: https://github.com/BurntSushi/memchr#why-is-the-standard-lib...

[6]: https://github.com/rust-lang/rfcs/pull/3469

Actix Web Documentation: Detailed documentation on using Actix-web, including examples and best practices for building web applications with Rust.

I can't speak to the "is it any good" part, but (after a bit of research) I can share what I've found. I'll try to represent things as best as I understand, but I may have some finer details mixed up.

ntex is written by the same person that started actix-web, Nikolay Kim (fafhrd91 on GitHub). There was a bunch of drama a while back due to actix-web using (what many reasoned to be) avoidable unsafe code, which was later found to be buggy. Nikolay was pilloried online, resulting in him transferring leadership of actix-web to someone else. ntex is, as I understand it, essentially Nikolay picking back up on his ideals for what could have been actix-web, if people hadn't pushed him out of his own project.

How ntex compares to the pre-/post-leadership change of actix-web, I don't know.

Here are some jumping points if you want more of the backstory.

https://www.theregister.com/2020/01/21/rust_actix_web_framew...

https://steveklabnik.com/writing/a-sad-day-for-rust

https://github.com/actix/actix-web/issues/1289

Are you ready to embark on another journey in Rust? Today, we'll explore how to create a REST API that performs basic mathematical operations: addition, multiplication, and division. We'll use Actix, a powerful web framework for Rust, together with Rhai, a lightweight scripting language, to achieve our goal.

Within actix-web, middleware is used as a medium for being able to add general functionality to a (set of) route(s) by taking the request before the handler function runs, carrying out some operations, running the actual handler function itself and then the middleware does additional processing (if required). By default, actix-web has several default middlewares that we can use, including logging, path normalisation, access external services and modifying application state (through the ServiceRequest type).

Rust is a popular system programming language, known for its robust memory safety features and exceptional performance. While Rust was originally a system programming language, its application has evolved. Now you can see Rust in different app platforms, mobile apps, and of course, in web apps — both in the frontend and backend, with frameworks like Rocket, Axum, and Actix making it even easier to build web applications with Rust.

actix to handle HTTP requests