Studying complex systems using Python.
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The philosophy of using programming for the implementation, illustration, and improvement of the study of complex topics. Working with arrays and methods, including basic signal processing and fast Fourier transform. Studying abstract models of complex physical systems. Notebooks with initial code and solutions that will help you re-implement and expand the original experiments on complexity theory. Exploring the philosophy of science, including the nature of scientific laws, theory of choice, realism, and instrumentalism. This book should be on any reading list dedicated to the emergence of complex dynamics from simple structures. The science of complex systems behavior uses various computations to study natural and humanitarian sciences. In this book, you will use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you are a Python programmer or studying computer modeling at university, you will delve into the study of complex systems through a series of worked examples, exercises, case studies, and easy-to-understand explanations.
Author:
Author:Downey Allen B.
Cover:
Cover:soft
Category:
- Category:Computer & Technology
- Category:Science & Math
Dimensions:
Dimensions:22x16x1 cm
ISBN:
ISBN:978-5-97060-712-1
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