Think Complexity: Complexity Science and Computational Modeling

Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you’ll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of worked examples, exercises, case studies, and easy-to-understand explanations. In this updated second edition, you will: Work with Num Py arrays and Sci Py methods, including basic signal processing and Fast Fourier Transform Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get Jupyter not filled with starter code and solutions to help you re-implement and extend original experiments in complexity; and models of computation like Turmites, Turing machines, and cellular automata Explore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalism Ideal as a text for a course on computational modeling in Python, Think Complexity also helps self-learners gain valuable experience with topics and ideas they might not encounter otherwise.Additional ISBNs1492040207, 1492040169, 1492040177, 9781492040200, 9781492040163, 9781492040170Think Complexity: Complexity Science and Computational Modeling 2nd Edition is written by Allen Downey and published by O’Reilly Media. ISBNs for Think Complexity are 9781492040156, 1492040150 and the print ISBNs are 9781492040200, 1492040207. Additional ISBNs include 1492040207, 1492040169, 1492040177, 9781492040200, 9781492040163, 9781492040170.