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This is great news for Jupyter (IPython) Notebooks: https://plot.ly/python/offline/ https://plot.ly/python/offline/ It basically provides interactive inline vi

This is great news for Jupyter (IPython) Notebooks: https://plot.ly/python/offline/ https://plot.ly/python/offline/ It basically provides interactive inline visualizations, making it great for data exploration (without having to send any data to plot.ly) I'm wondering if the success of Continuum (Anaconda) could've influence Plot.ly?

ricleal 11y ago
Thanks for the link! Have you found a way to use the plots offline in your own server (e.g. in Django)? I have just found integration with Jupyter....
ricleal 11y ago
Indeed! I think the success of Bokeh (http://bokeh.pydata.org/ http://bokeh.pydata.org/) from Continuum has influenced their decision...
noobermin 11y ago
One thing I've been waiting for (and if I had the time, I'd love to work on something like this) is scientific javascript. I love es6 and classless oop[0] that javascript provides (and general dynamic-ness) but the lack of operator overloading makes mathy infix operators work with an array-like type not possible in native js. Something that had the "functional", dynamic semantics of javascript with the natural notation that numpy has (with its broadcasting rules) would be fantastic. Stuff like plotly is great, but as far as I can tell, I'm not going to be able to use it any time soon because I'm not going to write a >10 term expression in javascript when every '+' becomes a 'add(a,b)' or 'a.add(b)'. [0] https://youtu.be/bo36MrBfTk4?t=33m45s https://youtu.be/bo36MrBfTk4?t=33m45s
- netheril96 11y ago
  To do that you first need to have a way of extending JavaScript with C and/or Fortran. No way numpy can be implemented in pure js or python without being excruciatingly slow.
  - gh02t 11y ago
    You can do it with the nodejs FFI. It makes me cringe a bit to say that, but you could do it in roughly the same way as how NumPy does it.
jpdus 11y ago
I have tried both, Bokeh (without the server) and plot.js (their python lib offers a JSON encode option so that you can use their Python lib with plotly.js without sending data to plotly). However, I found both to be very similar and still don't have a clear favorite. Any opinions on which solution is better suited for (internal) interactive dashboards?

ricleal 11y ago

Thanks for the link! Have you found a way to use the plots offline in your own server (e.g. in Django)? I have just found integration with Jupyter....

ricleal 11y ago

Indeed! I think the success of Bokeh (http://bokeh.pydata.org/ http://bokeh.pydata.org/) from Continuum has influenced their decision...

noobermin 11y ago

One thing I've been waiting for (and if I had the time, I'd love to work on something like this) is scientific javascript. I love es6 and classless oop[0] that javascript provides (and general dynamic-ness) but the lack of operator overloading makes mathy infix operators work with an array-like type not possible in native js. Something that had the "functional", dynamic semantics of javascript with the natural notation that numpy has (with its broadcasting rules) would be fantastic. Stuff like plotly is great, but as far as I can tell, I'm not going to be able to use it any time soon because I'm not going to write a >10 term expression in javascript when every '+' becomes a 'add(a,b)' or 'a.add(b)'. [0] https://youtu.be/bo36MrBfTk4?t=33m45s https://youtu.be/bo36MrBfTk4?t=33m45s

netheril96 11y ago
To do that you first need to have a way of extending JavaScript with C and/or Fortran. No way numpy can be implemented in pure js or python without being excruciatingly slow.
- gh02t 11y ago
  You can do it with the nodejs FFI. It makes me cringe a bit to say that, but you could do it in roughly the same way as how NumPy does it.

jpdus 11y ago

I have tried both, Bokeh (without the server) and plot.js (their python lib offers a JSON encode option so that you can use their Python lib with plotly.js without sending data to plotly). However, I found both to be very similar and still don't have a clear favorite. Any opinions on which solution is better suited for (internal) interactive dashboards?