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modern-scientific-computing-and-big-data-analytic.json
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{
"alias": "video/2199/modern-scientific-computing-and-big-data-analytic",
"category": "PyCon AU 2013",
"copyright_text": "CC-BY-SA",
"description": "",
"duration": 100,
"id": 2199,
"language": "eng",
"quality_notes": "",
"recorded": "2013-07-07",
"slug": "modern-scientific-computing-and-big-data-analytic",
"speakers": [
"Edward Schofield"
],
"summary": "This is a tutorial on using the latest and most exciting tools in Python\nfor scientific and engineering applications in 2013, with a focus on\n'big data' applications. Using real-world data sets and a fully Python 3\nenvironment, it will walk you through what's possible with modern tools\nlike the machine-learning package scikit-learn, the image-processing\npackage scikit-image, the Pandas toolkit for data analysis, and\nIPython-parallel. It will also review the upcoming generation of tools\nlike Numba and Blaze.\n",
"tags": [],
"thumbnail_url": "http://i1.ytimg.com/vi/hqOsfS3dP9w/hqdefault.jpg",
"title": "Modern scientific computing and big data analytics in Python",
"videos": [
{
"length": null,
"type": "mp4",
"url": "http://s3.us.archive.org/ndvpyconau2013/Modern_scientific_computing_an.mp4"
},
{
"length": 0,
"type": "youtube",
"url": "https://www.youtube.com/watch?v=hqOsfS3dP9w"
}
]
}