evcxr
nsi
| evcxr | nsi | |
|---|---|---|
| 77 | 1 | |
| 5,454 | 15 | |
| 1.2% | - | |
| 8.1 | 2.9 | |
| 7 days ago | 19 days ago | |
| Rust | Rust | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
evcxr
- evcxr Rust REPL
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Generics in Rust: visualizing Bezier curves in a Jupyter notebook -- Part 3
A project for Rust REPL environment is a combination of letter evxvr (Evaluation Context for Rust). It contains Evcxr Jupyter kernel. I chose to follow the documentation and compile Jupyter kernel from Rust sources (which takes about 6 min on my laptop), and simply run in Microsoft Windows PowerShell
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Scriptisto: "Shebang interpreter" that enables writing scripts in compiled langs
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.
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Go: What We Got Right, What We Got Wrong
https://github.com/evcxr/evcxr can run Rust in a Jupyter notebook. It's not Golang but close enough.
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The Hallucinated Rows Incident
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:
- TermiC: Terminal C, Interactive C/C++ REPL shell created with BASH
- Exploring Options for Dynamic Code Changes in Rust without Recompilation (hot reloading)
- Go 1.21 will (likely) have a static toolchain on Linux
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What’s an actual use case for Rust
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).
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would you use rust for scripting?
You should check out evcxr
nsi
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Evcxr: A Rust REPL and Jupyter Kernel
I added jupyter notebook support to my nsi[1] crate via evxcr.
It allows you to do a 3D (offline) render with 3Delight (on AWS, if you want) directly into a notebook.
Here is an example notebook[2].
I haven't managed to update the image dynamically while it's rendering (there's no support for that in evxcr). If anyone knows how to do this, I'd be keen to add that too.
[1] https://crates.io/crates/nsi
[2] https://github.com/virtualritz/nsi/blob/master/examples/jupy...
What are some alternatives?
vscode-jupyter - VS Code Jupyter extension
polyhedron-ops - Conway-Hart Polyhedron Notation in Rust
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
jupyter-rust - a docker container for jupyter notebooks for rust
OffsetArrays.jl - Fortran-like arrays with arbitrary, zero or negative starting indices.
rust-script - Run Rust files and expressions as scripts without any setup or compilation step.
vim-slime - A vim plugin to give you some slime. (Emacs)
bincode - A binary encoder / decoder implementation in Rust.
iron.nvim - Interactive Repl Over Neovim
cargo-script - Cargo script subcommand