evcxr
jupyter-rust
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| evcxr | jupyter-rust | |
|---|---|---|
| 71 | 2 | |
| 4,466 | 4 | |
| 1.8% | - | |
| 6.0 | 0.0 | |
| 15 days ago | over 2 years ago | |
| Rust | Dockerfile | |
| GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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
- 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
- Nannou – An open-source creative-coding framework for Rust
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A Case for Rust in Deep Learning
I think you might like this project: https://github.com/google/evcxr . It brings the REPL workflow to Rust, so having fast iteration should not be an issue.
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Building a Cloud Database from Scratch: Why We Moved from C++ to Rust
While not Elixir good, the evcxr python notebook plugin gets you 50% of the way there.
https://depth-first.com/articles/2020/09/21/interactive-rust...
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Improving Rust compile times to enable adoption of memory safety
I've started liking evcxr (https://github.com/google/evcxr) for REPL. It's a little slow compared to other REPLs, but still good enough to be usable after initial load.
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Blog Post: Next Rust Compiler
Would such a project make it possible to have a faster rust repl? We can use evcxr, but it definitely doesn't feel first-class.
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Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
I'm a long-time python developer and develop on the side in Rust for about as long as you, I also found myself familiar with the available datastructures and algorithms, as well as some FP-inspired syntax ( i.e. iterators instead of for loops ) . evcxr is reminiscent of ipython, it can even be integrated with jupyter notebook. And indeed I was surprised to find myself in such a familiar world. It's definitely something that more python developers should be aware of.
jupyter-rust
What are some alternatives?
vscode-jupyter - VS Code Jupyter extension
moonfire-nvr - Moonfire NVR, a security camera network video recorder
polars - Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
rust-script - Run Rust files and expressions as scripts without any setup or compilation step.
bincode - A binary encoder / decoder implementation in Rust.
cargo-script - Cargo script subcommand
vim-slime - A vim plugin to give you some slime. (Emacs)
iron.nvim - Interactive Repl Over Neovim
ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
nsi - High level Rust bindings for Illumination Research’s Nodal Scene Interface – ɴsɪ.
rust-csv - A CSV parser for Rust, with Serde support.
rutie - “The Tie Between Ruby and Rust.”