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{ "category": "PyCon US 2014", "language": "English", "slug": "diving-into-open-data-with-ipython-notebook-pan-0", "speakers": [ "Julia Evans" ], "tags": [], "id": 2657, "state": 1, "title": "Diving into Open Data with IPython Notebook & Pandas", "summary": "I'll walk you through Python's best tools for getting a grip on data: IPython Notebook and pandas. I'll show you how to read in data, clean it up, graph it, and draw some conclusions, using some open data about the number of cyclists on Montr\u00e9al's bike paths as an example.", "description": "", "quality_notes": "", "copyright_text": "http://www.youtube.com/t/terms", "embed": "<object width=\"640\" height=\"390\"><param name=\"movie\" value=\"http://youtube.com/v/rEalbu8UGeo?version=3&amp;hl=en_US\"></param><param name=\"allowFullScreen\" value=\"true\"></param><param name=\"allowscriptaccess\" value=\"always\"></param><embed src=\"http://youtube.com/v/rEalbu8UGeo?version=3&amp;hl=en_US\" type=\"application/x-shockwave-flash\" width=\"640\" height=\"390\" allowscriptaccess=\"always\" allowfullscreen=\"true\"></embed></object>", "thumbnail_url": "http://i1.ytimg.com/vi/rEalbu8UGeo/hqdefault.jpg", "duration": null, "video_ogv_length": null, "video_ogv_url": "", "video_ogv_download_only": false, "video_mp4_length": null, "video_mp4_url": "", "video_mp4_download_only": false, "video_webm_length": null, "video_webm_url": "", "video_webm_download_only": false, "video_flv_length": null, "video_flv_url": "", "video_flv_download_only": false, "source_url": "http://www.youtube.com/watch?v=rEalbu8UGeo", "whiteboard": "", "recorded": "2014-04-13", "added": "2014-04-13T21:20:23.168", "updated": "2014-08-19T10:54:18.491" }