quil VS evcxr

We’re pleased to announce Quil version 4.3.1323, the first general release of Quil in four years! You can find the jar at Clojars and the release notes at Github. Thanks to Clojurists Together for sponsoring this work! :)

The quick run speed is great for shortening the feedback loop. I've had great experiences with Lisp-style environments for that reason, and the language is much higher level than Rust while still offering good performance. I've mainly used Quil, the Clojure wrapper around processing: https://github.com/quil/quil

I can't seem to find any clear information on this, only bit and pieces on the repo https://github.com/quil/quil. It doesn't seem to get any updates and Processing 4 and Java 9, seems to brake. SO the project is dead right?

https://github.com/quil/quil (drawing)

Quil[0] repo has either a homage to _why, or _why has contributed the intro.

[0]: https://github.com/quil/quil

Maybe. I thought of using quil for my web enablement needs, but decided that with how few people know Clojurescript, I wouldn't be able to truly share the code in practice.

but if all your trying to do is get something running real quick using quil https://github.com/quil/quil/wiki/Installing

Emacs didn't invent REPL, and it's common everywhere. For Rust: https://github.com/evcxr/evcxr/blob/main/evcxr_repl/README.m.... But heck, the compiler is reasonably fast enough that any IDE can REPL by compiling the code.

The value here is more in being able to read a script before you run it, then have it run fast, maybe tweaking something here and there. And a compiled script will run 10,000 times faster than LISP, which can be important.

https://github.com/evcxr/evcxr can run Rust in a Jupyter notebook. It's not Golang but close enough.

The engine uses rust_decimal::Decimal to represent high precision decimal numbers, like the weight property. Serialization of RocksDB keys is done by the storekey crate. To know how Yumi's machine stores diffs, we can now ask- How does storekey serialize rust_decimal? Well, using evcxr to run Rust in Jupyter, the answer is as a null-terminated string:

In theory you should be able to create Rust notebooks (Jupyter notebook) using evcxr so maybe some AI, data analysis, prototyping make sense if you aim for good performance in final application (protype in evcxr and use notebook as reference to implement final application in Rust for speed and safety).

You should check out evcxr

There is also implementations of rust REPLs, like the beautifully named evcxr.