Think complexity : complexity science and computational modeling / Allen B. Downey.

By:

Downey, Allen [author.]

Material type: Text

TextPublisher: Beijing ; Boston : O'Reilly, 2018Edition: Second editionDescription: xii, 185 pages ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9789352137558

Subject(s):

DDC classification:

005.133 23

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 Transform, Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines, Get 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 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. --Back cover.

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Holdings ( 1 )
Title notes ( 2 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Notes	Date due	Barcode	Item holds
Reference	IIT Goa Central Library	Reference	005.133/DOW (Browse shelf(Opens below))	1	Reference	TB1978\|\| 28-10-22\|\| 25.00%		4087

Total holds: 0

Includes bibliographical references and index.

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 Transform, Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines, Get 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 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. --Back cover.