Material Detail

This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science:

• Complexity science is an interdisciplinary field—at the intersection of physics, mathematics, and computer science—that focuses on systems with many interacting components.
• Data structures and algorithms: Data structures is an important and useful topic for software engineers, but it is often presented without motivation.  Complexity science provides an engaging context for this material.
• Python programming: This book picks up where Think Python leaves off. I assume that you have read that book or have equivalent knowledge of Python. As always, I try to emphasize fundamental ideas that apply to programming in many languages, but along the way you will learn useful features that are specific to Python.
• Philosophy of science: The models and results in this book raise a number of questions relevant to the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, holism and reductionism, and Bayesian epistemology.

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