Speaker: Allen Downey
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, we present material from the draft second edition of *Think Complexity*, and from a class we 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.
Slides can be found at: https://speakerdeck.com/pycon2018 and https://github.com/PyCon/2018-slides
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, we present material from the draft second edition of *Think Complexity*, and from a class we 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.
Slides can be found at: https://speakerdeck.com/pycon2018 and https://github.com/PyCon/2018-slides
Allen Downey - Complexity Science - PyCon 2018 camera iphone 8 plus apk | |
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