usbarmory VS PyO3

Niklaus Wirth, rest his soul, would disagree.

Like would the the selling USB Armory, with Go written firmware.

https://www.withsecure.com/en/solutions/innovative-security-...

Back in my day, writing compilers and OS services were also systems programming.

Not only you can fit Go into a kernel, there is at least two products that do so.

TamaGo, used to write the firmware used in USB armory.

https://www.withsecure.com/en/solutions/innovative-security-...

TinyGo, which even has official Arduino and ARM support, and is sponsored by Google

https://tinygo.org/

Ah but that isn't proper Go! Well neither is the C code that is allowed to be used in typical kernel code, almost nothing from ISO C standard library is available, and usually plenty of compiler specific language extensions are used instead.

> Since 80s everybody designs systems on top of C.

More like since the 1990's, and mostly thanks to the GNU Manifesto and FOSS uptake that took the steam out of C++ adoption being pushed by Apple, IBM and Microsoft.

There is firmware in production written in Go,

https://www.withsecure.com/en/solutions/innovative-security-...

Not exactly but close. No gocoin, but custom (minimal) client based on btcsuite libs. And it is run on USB Armory SoC.

Relocking with your own key is only for experts, it's similar to the USB Armory device for embedded electronics. If you get it wrong you can brick the device, the purpose of doing it is to protect against certain types of boot attacks (like if somebody can get temporary physical access to your phone or even just plant a malicious USB cable which could potentially push malware. If you don't know what you're doing, stay on stock OS.

Plenty of software that is written in C and C++, can be easily done in Go as well, in fact in any AOT compiled managed language.

C++ was born to write distributed systems, nowadays it hardly matters on cloud native infrastructure beyond the OS and hypervisors layer.

This is how Go can be a competitor to C and C++, just like Inferno was basically Plan 9 with Limbo for userspace and very little C beyond the kernel.

And then there are those crazy folks that believe they should ship bare metal AOT compiled languages regardless of others think.

https://www.withsecure.com/en/solutions/innovative-security-...

Of course it can, there are companies shipping products written in bare metal Go.

https://www.withsecure.com/en/solutions/innovative-security-...

https://github.com/usbarmory/tamago

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.