https://nbdev.fast.ai/tutorials/best_practices.html
https://pandoc.org/MANUAL.html#pandocs-markdown
https://quarto.org/docs/authoring/markdown-basics.html#tables
https://quarto.org/docs/authoring/callouts.html
Motiviation
I want to create interactive ipynb visualizations that persists when converted to html (without the use of using iframes). Jupyter Notebooks being a web app makes this possible as Ipynb's cell outputs are actually just IFRAMES. Jupyter notebooks run a web server responsible for routing communication from your browser to your local machine which means interactive visualizations are just a javascript script away.
Background
VSCODE: Help -> Toggle Developer Tools
Entire notebook stored in: Container: class="notebookOverlay notebook-editor notebook-editor-editable cell-title-toolbar-right cell-toolbar-click"
Iframe: class="Notebook webview content"
https://bniajfi.org/wp-content/themes/Grido/Theme_v1_3/js/bnia.js https://bniajfi.org/guidepost/communityAdjacents.json
https://bniajfi.org/guidepost/vega_renderer.js https://bniajfi.org/guidepost/custom_plotly_renderers.js
https://bniajfi.org/guidepost/map_handler.js https://bniajfi.org/guidepost/script_vars_events.js https://bniajfi.org/guidepost/script.js
https://github.com/nicolaskruchten/pivottable/wiki/Parameters#options-object-for-pivotui