Python dashboard tutorials/frameworks for interactive, D3.js graphs in IPython Notebooks
srinath.nathan at gmail.com
srinath.nathan at gmail.com
Fri Nov 6 01:13:09 EST 2015
On Thursday, July 9, 2015 at 8:10:16 PM UTC-4, Matt Sundquist wrote:
> Hi all,
>
> I'm part of Plotly, and we've just finished a few releases I thought I'd pass along.
>
> These tools make it easy to craft interactive graphs and dashboards with D3.js using Python. We're especially drawn towards matplotlib, pandas, and IPython. We're still early in building, so any and all feedback and help is much appreciated.
>
> First, here is an overview of some of our dashboard capabilities:
>
> http://blog.plot.ly/post/123617968702/online-dashboards-eight-helpful-tips-you-should
>
> For more background, refer to our Python docs: https://plot.ly/python/, our Python framework for making dashboards: https://github.com/plotly/dash, our data science blog: http://moderndata.plot.ly/, or these 21 IPython Notebooks: https://plot.ly/python/ipython-notebooks/.
>
> Feedback and suggestions are welcome!
>
> M
You guys are so expensive - not even worth looking into your product. Absolutely retarded.
Srinath
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