Think Complexity: Complexity Science and Computational Modeling, 2nd Edition (Allen B. Downey)

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This book covers the philosophy of science, complexity science, data structures, algorithms, as well as intermediate Python programming.

Features that make Python such a straightforward and effective language are discussed in this book. Along with code to get you started, the author also includes a solution for each task. Using this book, you can:

Work with graphs and graph algorithms, NumPy arrays and SciPy methods, basic signal processing, Fast Fourier Transform, and hash tables.
Discover complexity science, the field that studies abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines.
Explore the philosophy of science through the models and results in this book about the nature of scientific laws, theory choice, realism and instrumentalism, and more.

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