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Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago
Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago
Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago
Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago
I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago
Arrow JS is just ArrayBuffers underneath. You do want to amortize some operations to avoid unnecessary conversions. I.e. Arrow JS stores strings as UTF-8, but native JS strings are UTF-16 I believe. Arrow is especially powerful across the WASM <--> JS boundary! In fact, I wrote a library to interpret Arrow from Wasm memory into JS without any copies [0]. (Motivating blog post [1]) [0]:... - Source: Hacker News / 2 days ago
Here’s the D3 implementation (which is just an interrupted azimuthal equidistant projection): https://observablehq.com/@d3/azimuthal-equidistant-hemispheres. - Source: Hacker News / 3 days ago
I made a quick tool to apply the trick he suggests at the end of the article: https://observablehq.com/@gampleman/font-centering-tool. - Source: Hacker News / 7 days ago
There is maybe some room for design too (Figma), but there are many times I wish it DIDN'T do that and encouraged better frame/file organization instead. ------- It can also be useful for some visualizations, like taxonomy: https://itol.embl.de/itol.cgi or https://www.onezoom.org/life.html "Drill down for details" like in disk space analysis: https://www.youtube.com/watch?v=BKClylmlv3w&t=1s (or similar one in D3:... - Source: Hacker News / 9 days ago
This library is so cool. It makes spinning up a quick demo incredibly easy - I've used it in Observable notebooks a few times: - https://observablehq.com/@simonw/openai-clip-in-a-browser - https://observablehq.com/@simonw/detect-objects-in-images The size of the models feels limiting at first, but for quite a few applications telling a user with a good laptop and connection that they have to wait 30s for it to... - Source: Hacker News / 13 days ago
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
RunKit - RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Binder - Turn a Git repo into a collection of interactive notebooks
GitHub & BitBucket HTML Preview - HTML Preview for GitHub and BitBucket Repositories
Vega-Lite - High-level grammar of interactive graphics