python-for-data-analysis.json

{
  "alias": "video/1656/python-for-data-analysis",
  "category": "PyCon US 2013",
  "copyright_text": "CC",
  "description": "",
  "duration": null,
  "id": 1656,
  "language": "eng",
  "quality_notes": "",
  "recorded": "2013-03-14",
  "slug": "python-for-data-analysis",
  "speakers": [
    "Benjamin Zaitlen",
    "Peter Wang",
    "Travis Oliphant"
  ],
  "summary": "Python has long played a role in analyzing large scale data. From\ntightly-knit super-computers running MPI-based applications to\nheterogeneous clusters woven together with scripts, Python has had a\nrole to play in making it easier to processes data. This tutorial will\ncover the tried and true techniques as well as introduce new trends.\n",
  "tags": [
    "tutorial"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/YAFyzUsZGvc/hqdefault.jpg",
  "title": "Python for Data Analysis",
  "videos": [
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      "url": "http://s3.us.archive.org/nextdayvideo/psf/pycon2013/Python_for_Data_Analysis.mp4?Signature=CqBJa4vGSFJZ%2Fkk%2F35lwLkY15BA%3D&Expires=1364709762&AWSAccessKeyId=FEWGReWX3QbNk0h3"
    },
    {
      "length": 0,
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=YAFyzUsZGvc"
    }
  ]
}