complexity-science-scipy-2019-tutorial-allen-downey.json

{
  "copyright_text": null,
  "description": "Complexity Science is an approach to modeling systems using tools from discrete mathematics and computer science, including networks, cellular automata, and agent-based models. It has applications in many areas of natural and social science. Python is a particularly good language for exploring and implementing models of complex systems. In this tutorial, I present material from the second edition of *Think Complexity* and from a class I teach at Olin College. We will work with random networks using NetworkX, with cellular automata using NumPy, and we will implement simple agent-based models.",
  "duration": 8207,
  "language": "eng",
  "recorded": "2019-07-11",
  "related_urls": [
    {
      "label": "Conference schedule",
      "url": "https://www.scipy2019.scipy.org/confschedule"
    }
  ],
  "speakers": [
    "Allen Downey"
  ],
  "tags": [
    "tutorial"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/ccA6ghSW1Iw/maxresdefault.jpg",
  "title": "Complexity Science",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=ccA6ghSW1Iw"
    }
  ]
}