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Think Complexity (Complexity Science and Computational Modeling)
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Product Details
Author:
Allen B. Downey
Format:
Paperback
Pages:
198
Publisher:
O'Reilly Media (August 28, 2018)
Language:
English
ISBN-13:
9781492040200
ISBN-10:
1492040207
Dimensions:
7" x 9.19"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
Folder:
TWO RIVERS
List Price:
$49.99
As low as:
$42.99
Publisher Identifier:
P-PER
Discount Code:
C
Case Pack:
20
Country of Origin:
United States
Pub Discount:
60
Weight:
11.2oz
Imprint:
O'Reilly Media
Overview
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.
