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{ "category": "SciPy 2012", "language": "English", "slug": "python-life", "speakers": [ "Daniel Williams" ], "tags": [ "Bioinformatics Mini-Symposia" ], "id": 1238, "state": 1, "title": "Python @ Life", "summary": "", "description": "Life Technologies relies heavily on Python for product development. Here we\npresent examples of using Python with the Numpy/SciPy/Matplotlib stack at Life\nTechnologies for sequencing analysis, Bayesian estimation, mRNA complexity\nstudy, and customer survey analysis. We also display our use of Django for\ndeveloping scientific web tools in Python. These applications, taken together,\ndemonstrate scientific Python\u2019s vital position in Life Technologies\u2019 tool\nchain.\n\n", "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": null, "video_ogv_length": null, "video_ogv_url": null, "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": "2012-07-19", "added": "2012-08-31T16:36:04", "updated": "2014-04-08T20:28:27.118" }