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 compu...

Full description

Saved in:
Bibliographic Details
Main Author Downey, Allen
Format eBook Book
LanguageEnglish
Published Sebastopol O'Reilly 2018
O'Reilly Media, Incorporated
Edition2
Subjects
Computational complexity
Python (Computer program language)
Online AccessGet full text
ISBN9781492040200
1492040207

Cover

More Information
Summary: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 NumPy arrays and SciPy methods, including basic signal processing and Fast Fourier TransformStudy abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machinesGet Jupyter notebooks 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 automataExplore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalismIdeal 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.
Bibliography:Includes bibliographical references and index
ISBN:9781492040200
1492040207