awesome-rust VS friedrich

It can be tricky to find learning resources that is perfectly tailored to the exact point we’re you’re standing right now. Especially if you already have prior experience.

But since you’re already familiar with programming, perhaps just dive right in…?

I.e. start a new project in Rust. You could do something like Advent of Code, Project Euler or Cryptopals[0]. Or write a simple webserver or whatever you feel like.

Don’t forget that ChatGPT can be quite useful for stuff like this. You can use it like a mentor. Just ask it anything you want to, make it show you examples (and then more examples) and so on. The answers might not be correct all of the time, but at least it can give you an idea of what docs to read next.

If you’re looking for blog posts, an acquaintance of mine has written some: https://priver.dev/tags/rust/

For more links to code/learning resources, see https://github.com/rust-unofficial/awesome-rust

And if you get stuck you also have the official Rust chats on Zulip/Discord.

HTH. Best of luck!

[0] https://cryptopals.com/

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I did find the official https://doc.rust-lang.org/book/ quite useful, it's more than enough to understand the language itself. Command-line programing is not a complicated thing, basically you have the CLI arguments, environment variables, stdin-stdout-sterr and nothing else. A few crates to start with: clap, dotenv, config, log4rs. Just go the crate documentation, there are many good examples there, no other book is neccessary. If you have a specific problem to solve, start to browse crates.io or https://github.com/rust-unofficial/awesome-rust for possible solutions.

37. Awesome Rust is a great repo with a huge curated list of plenty with Rust code and resources. You can find complete applications in different areas that were built based on Rust.

Post it there https://github.com/rust-unofficial/awesome-rust

I'd recommend taking a look at https://github.com/rust-unofficial/awesome-rust and seeing if anything interests you that way.

Not really sorted by complexity, but awesome-rust might be close to what you're looking for.

See also:

https://github.com/rust-unofficial/awesome-rust

This list is currently far more comprehensive, and it's filled with a lot of high-quality crates.

For other algorithms, there is not yet a single library to rule them all (linfa might become that at some point) but searching for the algorithm you need on crate.io is likely to give you some results (obligatory plug to Friedrich, my gaussian process implementation).

For me the good reason to use gaussian regression is the fact that you get an uncertainty on the output.

The big downside is that it takes expert knowledge (to design a proper kernel) and a solid implementation (to avoid the various numerical problems they can produce) to apply them to practical problem. Most implementation either break down very quickly or are not flexible enough for my taste.

I have a Rust implementation [0] which tries to help with the flexibility aspect but it is still very far from perfect.

[0]: https://github.com/nestordemeure/friedrich