pietro-battiston-how-to-use-pandas-the-wrong-way.json

{
  "description": "The pandas library represents a very efficient and convenient tool\nfor data manipulation, but sometimes hides unexpected pitfalls which\ncan arise in various and sometimes unintelligible ways.\n\nBy briefly referring to some aspects of the implementation, I will\nreview specific situations in which a change of approach can make\ncode based on pandas more robust, or more performant.\n\nSome examples:\n\n- inefficient indexing\n- multiple dtypes and efficiency\n- implicit type casting\n- HDF5 storage overhead\n- GroupBy.apply()... when you don't actually need it\n\nUPDATE: slides and materials can be found at http://pietrobattiston.it/python:pycon#europython_rimini_july_2017",
  "duration": 2625,
  "language": "eng",
  "recorded": "2017-07-12",
  "speakers": [
    "Pietro Battiston"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/4JwpDGrMsJE/hqdefault.jpg",
  "title": "How to use pandas the wrong way",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=4JwpDGrMsJE"
    }
  ]
}