data-science-in-python-python-frederick.json

{
  "description": "At the December 2017 Python Frederick meetup, Christine Lee provided an excellent overview of the Python data science ecosystem. There's a lot of info so the topics are listed below with their times.\n\n* Anaconda - https://youtu.be/3kTOLVD0ZCg?t=236\n* NumPy - https://youtu.be/3kTOLVD0ZCg?t=726\n* SymPy - https://youtu.be/3kTOLVD0ZCg?t=1204\n* SciPy - https://youtu.be/3kTOLVD0ZCg?t=1827\n* scikit-learn - https://youtu.be/3kTOLVD0ZCg?t=2432\n* pandas - https://youtu.be/3kTOLVD0ZCg?t=3385\n* matplotlib - https://youtu.be/3kTOLVD0ZCg?t=3953\n* Bokey and Plotly - https://youtu.be/3kTOLVD0ZCg?t=4458\n* Jupyter Notebooks - https://youtu.be/3kTOLVD0ZCg?t=5520",
  "language": "eng",
  "recorded": "2017-12-14",
  "related_urls": [
    {
      "label": "Talk repository",
      "url": "https://github.com/python-frederick/talks/tree/master/2017-12-data-science"
    },
    {
      "label": "Python Frederick web",
      "url": "https://www.pythonfrederick.org/"
    }
  ],
  "speakers": [
    "Christine Lee"
  ],
  "tags": [
    "data science"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/3kTOLVD0ZCg/hqdefault.jpg",
  "title": "Data science in Python",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=3kTOLVD0ZCg"
    }
  ]
}