krishna-sankar-pandas-data-wrangling-data-science.json

{
  "copyright_text": "Standard YouTube License",
  "description": "PyData SF 2016\nKrishna Sankar | Pandas, Data Wrangling & Data Science\n\nLet us explore Pandas from a Data Science perspective, mainly data exploration & feature extraction. In the process we will also ponder Data Science pragmas. We start with Pandas fundamentals and then move on to analyzing datasets. If you want to follow along, have a working iPython, download the notebooks at https://github.com/xsankar/cautious-octo-waffle and the data. Run PreFlightCheck.ipynb.\n\n* Data Wrangling & Data Science Pipeline\n* Pandas \u2013 APIs & Namespaces\n* Pandas \u2013 Basic Maneuvers\n* Hands-on : Titanic Dataset\n* Pandas \u2013 Data Wrangling \u2013 Transformations, Aggregations & Join\n* Hands-on : NW Dataset, State Of The Union Speeches & Debates, Recsys-2015 Data\n* Q & A",
  "duration": 5487,
  "language": "eng",
  "recorded": "2016-08-24",
  "related_urls": [
    "https://github.com/xsankar/cautious-octo-waffle"
  ],
  "speakers": [
    "Krishna Sankar"
  ],
  "tags": [
    "pandas"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/jMrmYP7PcPM/maxresdefault.jpg",
  "title": "Pandas, Data Wrangling & Data Science",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=jMrmYP7PcPM"
    }
  ]
}