allen-downey-jason-woodard-complexity-science-pycon-2017.json

{
  "description": "Complexity Science is an approach to modeling systems using tools from\ndiscrete mathematics and computer science, including networks, cellular\nautomata, and agent-based models. \u00a0It has applications in many areas of\nnatural and social science.\n\nPython is a particularly good language for exploring and implementing\nmodels of complex systems. \u00a0In this tutorial, we present material from\nthe draft second edition of *Think Complexity*, and from a class we\nteach at Olin College. \u00a0We will work with random networks using\nNetworkX, with cellular automata using NumPy, and we will implement\nsimple agent-based models.\n",
  "duration": 9954,
  "language": "eng",
  "recorded": "2017-05-17",
  "speakers": [
    "Allen Downey",
    "Jason Woodard"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/qHWhy3PWhes/hqdefault.jpg",
  "title": "Complexity Science",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=qHWhy3PWhes"
    }
  ]
}