On 10/24/13 1:42 PM, Peter Wang wrote:
> On Thu, Oct 24, 2013 at 10:11 AM, Jason Grout
> mailto:jason-s...@creativetrax.com>> wrote:
>
> It would be really cool if you could hook into the new IPython comm
> infrastructure to push events back to the server in IPython (this is not
> quite
On Thu, Oct 24, 2013 at 10:11 AM, Jason Grout
wrote:
> It would be really cool if you could hook into the new IPython comm
> infrastructure to push events back to the server in IPython (this is not
> quite merged yet, but probably ready for experimentation like this).
> The comm infrastructure ba
On 10/24/13 9:47 AM, Peter Wang wrote:
> You will still have interactivity *within* plots inside a single
> Notebook, but they will not drive events back to the server side. Also,
> if your data is large, then the notebook will also get pretty big. (We
> will be working on more efficient encoding
On Thu, Oct 24, 2013 at 6:36 AM, Jason Grout wrote:
> On 10/24/13 6:35 AM, Jason Grout wrote:
> > This looks really cool. I was checking out how easy it would be to
> > embed in the Sage Cell Server [1]. I briefly looked at the code, and it
> > appears that the IPython notebook mode does not use
On Thu, Oct 24, 2013 at 7:39 AM, Jason Grout wrote:
> On 10/23/13 6:00 PM, Peter Wang wrote:
> >
> > The project website (with interactive gallery) is at:
> > http://bokeh.pydata.org
>
> Just a suggestion: could you put the source below each gallery image,
> like matplotlib does in their gallery?
On 10/23/13 6:00 PM, Peter Wang wrote:
>
> The project website (with interactive gallery) is at:
> http://bokeh.pydata.org
Just a suggestion: could you put the source below each gallery image,
like matplotlib does in their gallery? I see lots of pretty plots, but
I have to go digging in github
On 10/24/13 6:35 AM, Jason Grout wrote:
> This looks really cool. I was checking out how easy it would be to
> embed in the Sage Cell Server [1]. I briefly looked at the code, and it
> appears that the IPython notebook mode does not use nodejs, redis,
> gevent, etc.? Is that right?
Or maybe the
On 10/23/13 6:00 PM, Peter Wang wrote:
> Hi everyone,
>
> I'm excited to announce the v0.2 release of Bokeh, an interactive web
> plotting library for Python. The long-term vision for Bokeh is to
> provide rich interactivity, using the full power of Javascript and
> Canvas, to Python users who don
