dynamic-visualisation-in-the-ipython-notebook.json

{
  "alias": "video/2211/dynamic-visualisation-in-the-ipython-notebook",
  "category": "PyCon AU 2013",
  "copyright_text": "CC-BY-SA",
  "description": "",
  "duration": 30,
  "id": 2211,
  "language": "eng",
  "quality_notes": "",
  "recorded": "2013-07-07",
  "slug": "dynamic-visualisation-in-the-ipython-notebook",
  "speakers": [
    "Brianna Laugher"
  ],
  "summary": "The IPython Notebook is a powerful web app for exploring ideas and data\nsets with Python. It has excellent integration with Matplotlib, giving\nthe user highly customisable static plots with ease. But for larger data\nsets, a static plot may not be ideal - the ability to pan, zoom, choose\ndynamic layers and sample the data at particular points would be nice.\nThis talk will demonstrate just how easy it is to integrate a Web Map\nService/client such as Pydap/Leaflet.js into the IPython Notebook.\n",
  "tags": [],
  "thumbnail_url": "https://i1.ytimg.com/vi/YJqBGi48RAM/hqdefault.jpg",
  "title": "Dynamic visualisation in the IPython Notebook",
  "videos": [
    {
      "type": "mp4",
      "url": "http://s3.us.archive.org/ndvpyconau2013/Dynamic_visualisation_in_the_I.mp4"
    },
    {
      "length": 0,
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=YJqBGi48RAM"
    }
  ]
}