jes-ford-getting-started-testing-in-data-science-pycon-2019.json

{
  "copyright_text": null,
  "description": "*How do you know if your data science results are correct?* Robust\nsoftware usually has tests asserting that certain conditions hold, but\nas a data scientist it\u2019s often not straightforward or obvious how to\nintegrate these best practices. Our workflow includes exploration,\nstatistical models, and one-off analysis. This talk will give concrete\nexamples of when and how testing should play a role, and provide you\nwith enough introduction to get started writing your first data science\ntests using ``pytest`` & ``hypothesis``.\n",
  "duration": 1860,
  "language": "eng",
  "recorded": "2019-05-05T13:50:00",
  "related_urls": [
    {
      "label": "Conference schedule",
      "url": "https://us.pycon.org/2019/schedule/talks/"
    },
    {
      "label": "Conference slides (github)",
      "url": "https://github.com/PyCon/2019-slides"
    },
    {
      "label": "Conference slides (speakerdeck)",
      "url": "https://speakerdeck.com/pycon2019"
    },
    {
      "label": "Talk schedule",
      "url": "https://us.pycon.org/2019/schedule/presentation/228/"
    }
  ],
  "speakers": [
    "Jes Ford"
  ],
  "tags": [
    "talk"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/0ysyWk-ox-8/maxresdefault.jpg",
  "title": "Getting Started Testing in Data Science",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=0ysyWk-ox-8"
    }
  ]
}