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{ "category": "PyCon AU 2013", "language": "English", "slug": "dynamic-visualisation-in-the-ipython-notebook", "speakers": [ "Brianna Laugher" ], "tags": [], "id": 2211, "state": 1, "title": "Dynamic visualisation in the IPython Notebook", "summary": "The IPython Notebook is a powerful web app for exploring ideas and data sets with Python. It has excellent integration with Matplotlib, giving the user highly customisable static plots with ease. But for larger data sets, a static plot may not be ideal - the ability to pan, zoom, choose dynamic layers and sample the data at particular points would be nice. This talk will demonstrate just how easy it is to integrate a Web Map Service/client such as Pydap/Leaflet.js into the IPython Notebook.", "description": "", "quality_notes": "", "copyright_text": "CC-BY-SA", "embed": "<object width=\"640\" height=\"390\"><param name=\"movie\" value=\";hl=en_US\"></param><param name=\"allowFullScreen\" value=\"true\"></param><param name=\"allowscriptaccess\" value=\"always\"></param><embed src=\";hl=en_US\" type=\"application/x-shockwave-flash\" width=\"640\" height=\"390\" allowscriptaccess=\"always\" allowfullscreen=\"true\"></embed></object>", "thumbnail_url": "", "duration": 30, "video_ogv_length": null, "video_ogv_url": null, "video_ogv_download_only": false, "video_mp4_length": null, "video_mp4_url": "", "video_mp4_download_only": true, "video_webm_length": null, "video_webm_url": null, "video_webm_download_only": false, "video_flv_length": null, "video_flv_url": null, "video_flv_download_only": false, "source_url": "", "whiteboard": "", "recorded": "2013-07-07", "added": "2013-07-10T12:02:33", "updated": "2014-04-08T20:28:26.251" }