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{ "category": "PyCon US 2012", "language": "English", "slug": "pandas-powerful-data-analysis-tools-for-python", "speakers": [ "Wes McKinney" ], "tags": [], "id": 696, "state": 1, "title": "pandas: Powerful data analysis tools for Python", "summary": "pandas is a Python library providing fast, expressive data structures for\r\nworking with structured or relational data sets. In addition to being used for\r\ngeneral purpose data manipulation and data analysis, it has also been designed\r\nto enable Python to become a competitive statistical computing platform. In\r\nthis talk, I will discuss the library's features and show a variety of topical\r\nexamples.\r\n\r\n", "description": "", "quality_notes": "Audio cuts out at 19:45 and doesn't come back until 23:35.", "copyright_text": "", "embed": "<object width=\"425\" height=\"344\"><param name=\"movie\" value=\";hl=en&amp;fs=1\"><param name=\"allowFullScreen\" value=\"true\"><param name=\"allowscriptaccess\" value=\"always\"><embed src=\";hl=en&amp;fs=1\" allowscriptaccess=\"always\" height=\"344\" width=\"425\" allowfullscreen=\"true\" type=\"application/x-shockwave-flash\"></embed></object>", "thumbnail_url": "", "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": "", "whiteboard": "", "recorded": "2012-03-09", "added": "2012-03-13T03:30:09", "updated": "2014-04-08T20:28:27.600" }