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{ "category": "PyCon AU 2013", "language": "English", "slug": "exploring-science-on-twitter-with-ipython-noteboo", "speakers": [ "Brenda Moon" ], "tags": [], "id": 2208, "state": 1, "title": "Exploring Science on Twitter with IPython Notebook and Python Pandas", "summary": "Starting with 13.5 million tweets from 2011 containing the word science: How I\u2019ve explored the way people use \u2018science\u2019 on Twitter. The IPython notebook ( is a great tool for research, allowing me to keep notes about my research interleaved with the python code. In addition, the Pandas python data analysis library ( supports working with large data tables with excellent support for time series data.", "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": "2013-07-06", "added": "2013-07-10T12:02:25", "updated": "2014-04-08T20:28:26.277" }