project-error-handling VS PyO3

This actually is an example of where the compiler errors could (or should have) maybe provided more help or even the potential solution, it might be worth submitting this to the error handling group.

If anyone's interested in helping to shape the future of Rust's built-in error-handling story, there's an error handling project group that's been doing great work recently, e.g. the major effort to move the Error trait into libcore ( https://github.com/rust-lang/project-error-handling/issues/3 ) and stabilizing std::backtrace. You can follow along or get involved via the #project-error-handling channel on the Rust zulip: https://rust-lang.zulipchat.com/

Getting it into alloc would enable usage in a LOT more contexts, like WASM and kernel code. Does this need a distinct tracking issue outside the ticket for moving it to core or would that just add more administrata?

without trolling https://github.com/rust-lang/project-error-handling exist and is far from having strong conclusion and anyway I will always favor enum Error anyway however I like the idea to have a opaque box in the enum for "this is a opaque error you can't deal with as a user of my api"

IIRC, the Error Handling Project Group is aware of these ideas. If this kind of thing interests you and you want to contribute, you should look into getting involved with that group.

> you should have the underlying message of the std::io::Error

This is a point of debate[1] among the error-handling working group.

[1]: https://github.com/rust-lang/project-error-handling/issues/4...

Focusing on good error messages has permeated throughout the community. There's even the Error Handling Project Group if you weren't convinced how committed the language designers are to getting this right. There are a number of techniques we can use to make our errors more informative. Along the way, we will discuss the crates that can help.

The Error Handling Working Group is looking at potential breaking changes for embedded users. Maybe you could work within that group?

Integrating Rust into Python, Edward Wright, 2021-04-12 Examples for making rustpython run actual python code Calling Rust from Python using PyO3 Writing Python inside your Rust code — Part 1, 2020-04-17 RustPython, RustPython Rust for Python developers: Using Rust to optimize your Python code PyO3 (Rust bindings for Python) Musing About Pythonic Design Patterns In Rust, Teddy Rendahl, 2023-07-14

This story unfolds as a captivating journey where the agile Flounder, representing the Python programming language, navigates the vast seas of coding under the wise guidance of Sebastian, symbolizing Rust. Central to their adventure are three powerful tridents: cargo, PyO3, and maturin.

I would not recommend FFI + ctypes. Maintaining the bindings is tedious and error-prone. Also, Rust FFI/unsafe can be tricky even for experienced Rust devs.

Instead PyO3 [1] lets you "write a native Python module in Rust", and it works great. A much better choice IMO.

[1] https://github.com/PyO3/pyo3

Same w/ Rust and Python, this is really neat because now each thread could have a GIL without doing exactly what you said. The pyO3 commit to allow subinterpreters was merged 21 days ago, so this might "just work" today: https://github.com/PyO3/pyo3/pull/3446

I expected someone to write a rust-based scripting language which tightly integrated with rust itself.

In reality, it seems like the python developers and toolchain are embracing rust enough to reduce the benefits to a new alternative.

https://github.com/PyO3/pyo3

Hey HN! I am one of the people working on Bytewax. Bytewax came out of our experience working with ML infrastructure at GitHub. We wanted to use Python because we could move fast, the team was very fluent in it, and the rest of our tooling was Python-native already. We didn't want to introduce JVM-based solutions into our stack because of the lack of experience and the friction we had trying to get Python-centric tooling working with existing solutions like Flink.

In our research, we found Timely Dataflow (https://timelydataflow.github.io/timely-dataflow/, https://news.ycombinator.com/item?id=24837031) and the Naiad project (https://www.microsoft.com/en-us/research/project/naiad/) as well as PyO3 (https://github.com/PyO3/pyo3) and we thought we found a match made in heaven :). Bytewax leverages both of these projects and builds on them to provide a clean API (at least we think so) and table stakes features like connectors, state recovery, and cloud-native scaling. It has been really cool to learn about the dataflow computation model, Rust, and how to wrangle the GIL with Rust and Python :P.

Would love to get your feedback :).

`pip install bytewax` to get started. We have a page of guides (https://www.bytewax.io/guides) with ready-to-run examples.

You can practice your Rust skills by writing performant and/or gluey extensions for higher-level language such as NodeJS (checkout napi-rs) and Python or complementing JS in the browser if you target Webassembly.

For instance, checkout Llama-node https://github.com/Atome-FE/llama-node for an involved Rust-based NodeJS extension. Python has PyO3, a Rust-Python extension toolset: https://github.com/PyO3/pyo3.

They can help you leverage your Rust for writing cool new stuff.