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To me the killer app for this is to empower data scientists to create useful, ad-hoc visualization apps for their results. Right now the html / presentation sto

by krebby 9y ago

To me the killer app for this is to empower data scientists to create useful, ad-hoc visualization apps for their results. Right now the html / presentation story for Jupyter notebooks is awful. Mike, Jeremy, and Tom, this looks awesome. I'm looking forward to put it through the paces.

joshuamorton 9y ago
>Right now the html / presentation story for Jupyter notebooks is awful. How so? Ive found it pretty straightforward to convert matplotlib plots to gif/mp4 for presentation (note: this can be done automatically within the notebook), and plotly is pretty good for truly interactive stuff.
- krebby 9y ago
  I'm specifically referring to the use case of creating explorable apps. Most data scientists I know would love a way of, say, building a map with a few input controls that alter the data or presentation (colors, layers, filtering, aggregation). I'm currently working on a JS-powered geospatial exploration app that is meant to be run either standalone or embedded into a Jupyter notebook. We often run into questions around how much the embeddable app should be scriptable or how much user control to allow. This would seemingly solve many of our needs.
  - claytonjy 9y ago
    Have you looked at shiny (R) or dash (python)? I found it pretty easy to building a map with a few input controls that alter the data or presentation (colors, layers, filtering, aggregation) with R + shiny + leaflet
    - krebby 9y ago
      Yes, but neither shiny nor python (folium, etc) give us the level of customization or control via an actual JS bridge that this appears to. That said, I tried to create a demo application and it seems like the require / exports / global situation isn't 100% yet. Any tips from the team on what to do here? https://beta.observablehq.com/@akre54/deck-gl-test https://beta.observablehq.com/@akre54/deck-gl-test
  - zeptomu 9y ago
    Some years ago I tried (and admittedly failed) to do something similar (a Jupyter notebook as an app) when trying to build a domain specific application for water resource management - we ended up building a "classic" web application via Leaflet and Python at the backend. The idea is intriguing, however it is non trivial to pass information from JS to Python and vice versa. You can do that, but it messes with Jupyter's event system and breaks the usual notebook workflow. Maybe this has changed for the better, but at that time this stuff (IPython widgets I think) was heavily in flux.

by krebby 9y ago

joshuamorton 9y ago

>Right now the html / presentation story for Jupyter notebooks is awful. How so? Ive found it pretty straightforward to convert matplotlib plots to gif/mp4 for presentation (note: this can be done automatically within the notebook), and plotly is pretty good for truly interactive stuff.

krebby 9y ago
I'm specifically referring to the use case of creating explorable apps. Most data scientists I know would love a way of, say, building a map with a few input controls that alter the data or presentation (colors, layers, filtering, aggregation). I'm currently working on a JS-powered geospatial exploration app that is meant to be run either standalone or embedded into a Jupyter notebook. We often run into questions around how much the embeddable app should be scriptable or how much user control to allow. This would seemingly solve many of our needs.
- claytonjy 9y ago
  Have you looked at shiny (R) or dash (python)? I found it pretty easy to building a map with a few input controls that alter the data or presentation (colors, layers, filtering, aggregation) with R + shiny + leaflet
  - krebby 9y ago
    Yes, but neither shiny nor python (folium, etc) give us the level of customization or control via an actual JS bridge that this appears to. That said, I tried to create a demo application and it seems like the require / exports / global situation isn't 100% yet. Any tips from the team on what to do here? https://beta.observablehq.com/@akre54/deck-gl-test https://beta.observablehq.com/@akre54/deck-gl-test
- zeptomu 9y ago
  Some years ago I tried (and admittedly failed) to do something similar (a Jupyter notebook as an app) when trying to build a domain specific application for water resource management - we ended up building a "classic" web application via Leaflet and Python at the backend. The idea is intriguing, however it is non trivial to pass information from JS to Python and vice versa. You can do that, but it messes with Jupyter's event system and breaks the usual notebook workflow. Maybe this has changed for the better, but at that time this stuff (IPython widgets I think) was heavily in flux.