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{ "category": "PyCon AU 2013", "language": "English", "slug": "modern-scientific-computing-and-big-data-analytic", "speakers": [ "Edward Schofield" ], "tags": [], "id": 2199, "state": 1, "title": "Modern scientific computing and big data analytics in Python", "summary": "This is a tutorial on using the latest and most exciting tools in Python for scientific and engineering applications in 2013, with a focus on 'big data' applications. Using real-world data sets and a fully Python 3 environment, it will walk you through what's possible with modern tools like the machine-learning package scikit-learn, the image-processing package scikit-image, the Pandas toolkit for data analysis, and IPython-parallel. It will also review the upcoming generation of tools like Numba and Blaze.", "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": 100, "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": "2013-07-10T12:02:02", "updated": "2014-04-08T20:28:26.259" }