Evcxr: A Rust REPL and Jupyter Kernel

• evcxr

  75 5,182 8.7 Rust
  

There's an explanation of how it works: https://github.com/google/evcxr/blob/master/evcxr/HOW_IT_WOR...

That's an impressive amount of hacks under the hood! I thought maybe there would be an interpreter involved, but it really does invoke rustc and then loads the code with dynamic linking.

• ipython

  34 16,134 9.6 Python

  Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

  

https://jupyter-client.readthedocs.io/en/latest/messaging.ht...

This looks like it does something with MIME bundles: https://github.com/jupyter-xeus/xeus-cling/blob/00b1fa69d17b...

ipython.core.display: https://github.com/ipython/ipython/blob/master/IPython/core/...

ipython.display: https://github.com/ipython/ipython/blob/master/IPython/displ...

You can also run Jupyter kernels in a shell with jupyter/jupyter_console:

    pip install jupyter-console jupyter-client

• InfluxDB

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• nsi

  1 15 7.0 Rust

  High level Rust bindings for Illumination Research’s Nodal Scene Interface – ɴsɪ.

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...

• OffsetArrays.jl

  7 192 6.0 Julia

  Fortran-like arrays with arbitrary, zero or negative starting indices.

  

No need for another version, Julia supports custom indices by default. Check out https://docs.julialang.org/en/v1/devdocs/offset-arrays/ and https://github.com/JuliaArrays/OffsetArrays.jl

• vim-slime

  56 1,790 9.4 Vim Script

  A vim plugin to give you some slime. (Emacs)

Not OP, but I like to avoid Jupyter where I can too. I like using a REPL though.

For very interactive, experimental work I like having code in one pane and a REPL in another separate one - so that you can highlight and send snippets of a file to the REPL with a keystroke or two, and the code and results aren't mixed together.

RStudio or Vim Slime[1] would be my favourite examples of this kind of approach.

For more "static" literate programming, I prefer the way RMarkdown and Sweave work to Jupyter Notebooks (though I don't even use R anymore). Both have their strengths and weaknesses of course.

[1] https://github.com/jpalardy/vim-slime

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