For more than 25 years, Mathematica has been the principal computation environment for millions of innovators, educators, students, and others around the world. This book is an introduction to Mathematica. The goal is to provide a hands-on experience introducing the breadth of Mathematica with a focus on ease of use. Readers get detailed instruction with examples for interactive learning and end-of-chapter exercises. Each chapter also contains authors' tips from their combined 50+ years of Mathematica use.

Wolfram ] Alpha Notebook Edition combines the simplicity of Wolfram ] Alpha with the computational capabilities of Mathematica for the best of both in a single, unified tool perfect for teaching and learning. Use free-form input to get instant answers to questions, create and customize graphs, and turn static examples into dynamic models. Everything is saved as an interactive Wolfram Notebook, so you can add notes and use notebooks as class or reference materials, or present them as dynamic slide shows that engage your audience as you edit examples on the fly. With this book, you'll learn how to]¬‚¬] Quickly create notebooks that combine calculations, graphics, interactive examples and notes. Enter free-form input and get solutions for a variety of calculations (e.g. arithmetic, algebra, calculus, linear algebra). Access step-by-step solutions, suggestions for next steps and related computations. Create 2D, 3D and interactive graphics with controls to dynamically change the parameters. Use previous results in future calculations, assign variables and define functions. Create dynamic slide show presentations with interactive elements that can be changed on the fly.

This work presents a series of dramatic discoveries never before made public. Starting from a collection of simple computer experiments---illustrated in the book by striking computer graphics---Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe. Wolfram uses his approach to tackle a remarkable array of fundamental problems in science: from the origin of the Second Law of thermodynamics, to the development of complexity in biology, the computational limitations of mathematics, the possibility of a truly fundamental theory of physics, and the interplay between free will and determinism.

This practical, example-driven introduction teaches the foundations of the Mathematica language so it can be applied to solving concrete problems.

The Wolfram Language represents a major advance in programming languages that makes leading-edge computation accessible to everyone. Unique in its approach of building in vast knowledge and automation, the Wolfram Language scales from a single line of easy-to-understand interactive code to million-line production systems. This book provides an elementary introduction to the Wolfram Language and modern computational thinking. It assumes no prior knowledge of programming, and is suitable for both technical and non-technical college and high-school students, as well as anyone with an interest in the latest technology and its practical application.

This book provides an introduction to the theory of dynamical systems with the aid of the Mathematica® computer algebra package. The book has a very hands-on approach and takes the reader from basic theory to recently published research material. Emphasized throughout are numerous applications to biology, chemical kinetics, economics, electronics, epidemiology, nonlinear optics, mechanics, population dynamics, and neural networks. Theorems and proofs are kept to a minimum. The first section deals with continuous systems using ordinary differential equations, while the second part is devoted to the study of discrete dynamical systems.

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.