python-in-quantitative-finance-158.json

{
  "alias": "video/305/python-in-quantitative-finance-158",
  "category": "PyCon US 2010",
  "copyright_text": "Creative Commons Attribution-NonCommercial-ShareAlike 3.0",
  "description": "Python in quantitative finance\n\nPresented by Wes McKinney (AQR Capital Management, LLC)\n\nThis talk will show how Python and libraries such as NumPy were\ninstrumental at AQR for building a robust research platform for\nprototyping and implementing quantitative trading models. We will\ndiscuss many different tools, including pandas, a new open source\nlibrary designed for analyzing common financial and economic data sets.\n\nA variety of examples will be presented to explore Python's current\nstatus as a replacement for other statistical computing environments (as\ncompared with R, MATLAB, or other commercial and open-source statistical\nproducts).\n",
  "duration": null,
  "id": 305,
  "language": "eng",
  "quality_notes": "",
  "recorded": "2010-02-19",
  "slug": "python-in-quantitative-finance-158",
  "speakers": [
    "Wes McKinney"
  ],
  "summary": "",
  "tags": [
    "numpy",
    "pandas",
    "pycon",
    "pycon2010"
  ],
  "thumbnail_url": "https://archive.org/services/img/pyvideo_305___python-in-quantitative-finance-158",
  "title": "Python in quantitative finance (#158)",
  "videos": [
    {
      "type": "archive.org",
      "url": "https://archive.org/details/pyvideo_305___python-in-quantitative-finance-158"
    }
  ]
}