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.