sharing-knowledge-in-the-python-ecosystem-humberto-corona.json

{
  "description": "Data Scientists (or researchers) often do many early-stage prototyping\nand run many experiments before finding the optimal solution for the\nproblem they are trying to solve. However, sometimes, a lot of the\nknowledge gained in the process stays with the person. In this proposed\ntalk, I would like to introduce how to produce, share and ensure the\nreproducibility of experiments using jupyter notebooks and github. This\nis a series of lessons Iearned while being a research student (where\nopen-sourcing the code and data used to generate papers is very\nimportant) and more recently, working in a new team in Zalando, where we\nhave experimented with different ways to share and review the data\nscience tasks, as well as the knowledge generated from those tasks.\n",
  "duration": 1413,
  "language": "eng",
  "recorded": "2016-11-05",
  "speakers": [
    "Humberto Corona"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/Lmb2J8dRqWs/hqdefault.jpg",
  "title": "Sharing knowledge in the Python ecosystem",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=Lmb2J8dRqWs"
    }
  ]
}