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Think Complexity, 2nd Edition

Think Complexity, 2nd Edition

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. 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.
Download free tutorial in PDF (200 pages) created by .

Pages : 200
File type : HTML
Downloads: 14
Submitted On: 2021-05-15
License: Free

Take advantage of this course called Think Complexity, 2nd Edition to improve your Others skills and better understand Complexity.

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All you need to do is download the training document, open it and start learning Complexity for free.

This tutorial has been prepared for the beginners to help them understand basic Complexity Others. After completing this tutorial you will find yourself at a moderate level of expertise in Complexity from where you can take yourself to next levels.

This tutorial is designed for Complexity students who are completely unaware of Complexity concepts but they have basic understanding on Others training.


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