rgbkrk

Third-Party Projects Using Runtimed Crates

Project	Description	Crates Used	Notes
quarto-dev/q2	Experimental Rust rewrite of Quarto (scientific document publishing)	runtimelib, jupyter-protocol	From Posit/RStudio
stencila/stencila	Platform for dynamic, data-driven scientific documents	jupyter-protocol, nbformat	v2 Rust rewrite
dropbox/dKNOW	Document processing toolkit for extracting structured info	jupyter-protocol (0.9), nbformat (0.13)	Older pre-1.0 versions
ad-si/Woxi	Rust-based Wolfram Language interpreter with Jupyter kernel	jupyter-protocol, runtimelib	Uses git deps pointing to runtimed
bitbloxhub/jupyter-api.nvim	Neovim plugin for Jupyter kernel interaction	jupyter-protocol, runtimelib	Newer pr

rgbkrk

"""
Lattice Boltzmann Method (D2Q9) fluid simulation with matplotlib inline rendering.
Styled for Gruvbox Dark.
"""

import time

import matplotlib.colors as mcolors
import matplotlib.pyplot as plt
import numpy as np

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DROP TABLE IF EXISTS baby_names;
CREATE TEMPORARY TABLE baby_names( name TEXT, rank INTEGER );

-- From most popular baby names of 2020 according to the Social Security Administration
-- https://www.ssa.gov/oact/babynames/
INSERT INTO baby_names ('name', 'rank') VALUES ('Liam', 1);
INSERT INTO baby_names ('name', 'rank') VALUES ('Olivia', 1);
INSERT INTO baby_names ('name', 'rank') VALUES ('Noah', 2);
INSERT INTO baby_names ('name', 'rank') VALUES ('Emma', 2);
INSERT INTO baby_names ('name', 'rank') VALUES ('Oliver', 3);

rgbkrk

rgbkrk

Background

System:

• Debian, running on Amazong
• /root is backed by NFS (Amazon's EFS)

Launch jupyter console --kernel python3 in one terminal, then pstree in another.

rgbkrk

Jupyter Kernels and Node

This is a (lightly) annotated run through of launching a jupyter kernel, sending some messages, and cleaning it up.

git clone https://gist.github.com/3239c1547b53c97cc648d5abb3cbe3e0.git kernely
cd kernely
npm install
node index.js

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(function(console){

    console.save = function(data, filename){

        if(!data) {
            data = Jupyter.notebook.toJSON();
        }

        filename = Jupyter.notebook.notebook_name;
        if(!filename) {