Matt Sundquist on finance data
From Matthew Sundquist: The Possibilities Of Plotting With pandas and IPython · · PyData
“He has hooked this up to a number of different APIs that they have for calling in finance data and one of the cool things about it that he does is he uses it to sort of productionize his workflow — from within his IPython notebook he'll make plots and then be able to share just the plot and use it as a dashboard.”
On , Matt Sundquist, Cofounder at Plotly, spoke about finance data during Matthew Sundquist: The Possibilities Of Plotting With pandas and IPython on PyData.
About Matt Sundquist
In a 2015 PyData Seattle talk, Matthew Sundquist, cofounder of Plotly, described the company's Python API for creating plots directly from Python and pandas, including maps, 3D plots, and other visualizations. He explained that Plotly is based in Montreal and aims to support collaborative, cloud-based plotting, with all APIs and figure converters being open source. Sundquist noted that users can do unlimited free public plotting on the cloud, with edu accounts available for educational projects, and that licensing is offered for offline or on-premises server use. Sundquist stated that Plotly uses D3 and WebGL for browser-based rendering, and that data is sent to Plotly's servers when using the cloud product, then rendered on the client. He emphasized that Plotly does not make intellectual property claims to user data. He also mentioned that users can comfortably plot 20,000 to 40,000 points per plot in the browser, with the offline product supporting millions of points, and that a new WebGL backend was in development to allow for even larger datasets.