evcxr
vscode-jupyter
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| evcxr | vscode-jupyter | |
|---|---|---|
| 75 | 32 | |
| 5,168 | 1,213 | |
| 1.9% | 2.1% | |
| 8.7 | 0.0 | |
| about 2 months ago | 4 days ago | |
| Rust | TypeScript | |
| GNU General Public License v3.0 or later | MIT License |
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
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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
- Nannou – An open-source creative-coding framework for Rust
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Rust vs. Haskell
There is also implementations of rust REPLs, like the beautifully named evcxr.
vscode-jupyter
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Multiple Notepad++ Flaws Let Attackers Execute Arbitrary Code
https://github.com/microsoft/vscode/issues/4490
It looks like there are a number of vscode extensions for recording macros:
- https://www.google.com/search?q=vscode+macro+recorder
- https://marketplace.visualstudio.com/search?term=Macro&targe...
- the macro-commander README explains its JSON-based macro language. YAML might be easier to maintain than JSON. https://github.com/jeff-hykin/macro-commander#what-are-some-...
For teams with multiple editors, you can specify workflow automation scripts with shell scripts or ci container/cmd YAML, and/or pre-commit.yml instead of with an IDE-specific tool.
Isn't there native real-time collaboration functionality in vscode/vscodium that would be useful for a native macro recording feature? (Edit) Live Share can't be installed in vscodium. https://github.com/VSCodium/vscodium/issues/128
Support for jupyter-collaboration Y.js CRDT could be added to vscode-jupyter and/or a more generic extension: "Support for real-time collaboration in the extension?" https://github.com/microsoft/vscode-jupyter/discussions/1293...
jupyterlab/jupyter-collaboration:
- Unable to view complex numpy arrays in Dataviewer in VSCode
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Formatting for long errors from a Jupyter notebook
Check out this GitHub issue. Similar to your needs, the reply said
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Scrollable Notebook Cell
It looks like this. I resubmitted a new feature request.
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Jupyter Notebooks + VSCode Dev Container with Puppeteer support
I don't like the fact that Visual Studio Code thinks a notebook has changed, while Git knows it isn't. According to issue #9514, this is something that should be fixed in the core of Visual Studio Code. So, I'm not really sure why issue #83232 (or #24883) is closed.
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Ask HN: Are there any good Diff tools for Jupyter Notebooks?
I wish for a simple option in VS Code: On close of a Jupyter Notebook clear its output. Or something that separate the display of the output from the saved file (Still `ipnyb` file). See [1].
[1]: https://github.com/microsoft/vscode-jupyter/issues/9514
- VS Code Extensions For Python Developers.
- Jupyter Extension not working
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HELP i've tried everyhting | Jupyter extension won't work
jupyter won't work on vs-code
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Syntax highlighting is completely broken outside the first cell of my Jupyter notebook. It just keeps duplicating positionaly whatever is in the first cell. I have spent hours trying to fix. I am at a complete loss. Any ideas?
If that doesn't fix it, can you log an issue here? https://github.com/microsoft/vscode-jupyter/issues
What are some alternatives?
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
vscode-gitlens - Supercharge Git inside VS Code and unlock untapped knowledge within each repository — Visualize code authorship at a glance via Git blame annotations and CodeLens, seamlessly navigate and explore Git repositories, gain valuable insights via rich visualizations and powerful comparison commands, and so much more
jupyter-rust - a docker container for jupyter notebooks for rust
vscode-nodebook - Node.js notebook
rust-script - Run Rust files and expressions as scripts without any setup or compilation step.
Plotly.jl - A Julia interface to the plot.ly plotting library and cloud services
bincode - A binary encoder / decoder implementation in Rust.
Bracket-Pair-Colorizer-2 - Bracket Colorizer Extension for VSCode
cargo-script - Cargo script subcommand
iron.nvim - Interactive Repl Over Neovim
nbstripout - strip output from Jupyter and IPython notebooks