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Comment by shpongled | Hacker News Reader

I would as well. I've also placed in the top 100 of advent of code before... using Rust :)

I think once you get familiar with it, it is just slightly slower to write than python.

I agree with this statement if my data structures map cleanly to Rust's preferred single-ownership, which most problems in my domain do.

Sometimes I do run across problems that are difficult to express in Rust without resorting to interior mutability, and it can slow me down to figure out the best way to model my data.

Definitely agree - when I say slightly slower I'm mostly referring to the happy-path/basic uses (reading files, using hashmaps, web servers, etc).

There are definitely aspects of Rust that are much more complex (typically with a tradeoff of more expressiveness, but not always), but at least in my experience, these are usually areas where you can't easily express the same thing in Python. I think many times people forget that you can frequently `clone` your way out of many issues if you are trying to move fast.

And of course areas where I still only use python: manipulating tabular data, making graphs, quick scripts for interacting with APIs etc.

There are idioms you can use where instead of references you use indexes into a Vec or other container. This is normal for folks coming from a gamedev background, but non-obvious to everyone else. Once you get the hang of these idioms, the productivity difference between "object soup" Python and Rust gets smaller, and the resulting code is also closer to what a "production" app would need to look like. This is an extra learning curve for Rust, though, on top of the already famously steep learning curve for the basics.

I really don’t like this approach - that’s just pointers without memory safety issues, but you get all the other problems, e.g. use-after-free, without any of the tooling to catch it for you like valgrind.

I use it professionally and can't disagree more with this statement.

I also use it professionally, for both web apps and HPC algorithms.

Are there some things faster to write in python? Sure. But I find the mental overhead is significantly less (for me) in Rust, and overall dev time is about equal, since I typically hit far fewer bugs and spend less time reading docs in Rust. I can't remember the last time I hit a footgun in Rust. Seems I hit one every week in python.

We recently migrated a ~10k SLOC Django JSON API server to axum/sqlx (Rust). I couldn't be happier - faster to ship new features, faster to refactor, fewer bugs, and response times got about 10x quicker.

I work a lot on async code with data structures that need interior mutability and it's kind of a pathological case for borrow checking. Everything is effectively wrapped in Arc<RwLock<_>> which adds a bunch of noise to method implementations.

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