
Categories  Download eBook: Think Complexity: Complexity Science and Computational Modeling  
Book Catagory:Data Structures and Algorithms
This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science. This book presents features that make Python such a simple and powerful language. The author provides code to help you get started, along with a solution for each exercise. With this book, you will: Work with graphs and graph algorithms, NumPy arrays and SciPy methods, basic signal processing and 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, and realism and instrumentalism, and more.
More Data Structures and Algorithms eBooks: Linear Programming: Foundations and Extensions Algorithms and Data Structures With Applications to Graphics and Geometry Matters Computational: Ideas, Algorithms, Source Code Exploring Randomness Ant Colony Optimization  Techniques and Applications Fundamental Data Structures Introduction to Design Analysis of Algorithms Solving NPComplete Problems Traveling Salesman Problem, Theory and Applications Knapsack Problems: Algorithms and Computer Implementations Information Theory, Inference and Learning Algorithms RealWorld Applications of Genetic Algorithms New Frontiers in Graph Theory Search Algorithms for Engineering Optimization Data Structures Succinctly, Part 2 
