Expandyour Python skills by working with data structures and algorithms in arefreshing context—through an eye-opening exploration of complexity science.Whether you’re an intermediate-level Python programmer or a student ofcomputational modeling, you’ll delve into examples of complex systems through aseries of exercises, case studies, and easy-to-understand explanations.
You’llwork with graphs, algorithm analysis, scale-free networks, and cellularautomata, using advanced features that make Python such a powerful language.Ideal as a text for courses on Python programming and algorithms, ThinkComplexity will also help self-learners gain valuable experiencewith topics and ideas they might not encounter otherwise.
Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables
Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines
Get starter code and solutions to help you re-implement and extend original experiments in complexity
Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics
Examine case studies of complex systems submitted by students and readers
