New for Version 12: a substantial update from the second edition, including three new chapters, code and product updates in virtually every chapter. New chapters include "Wolfram|Alpha-Mode Notebooks," "Machine Learning and Neural Networks" and "Image Processing." Updated index.
"Mathematica has had a transformative effect on my teaching and on student learning in all of my classes, from my lowest-level high-school honors chemistry classes to my most advanced classes in computational chemistry, computational medicinal chemistry and scientific programming." —ROBERT GOTWALS at North Carolina School of Science and Mathematics
For more than 30 years, Mathematica has been the principal computation environment for millions of innovators, educators, students and others around the world. This book is an introduction and provides a hands-on experience introducing the breadth of Mathematica and the Wolfram Language, with a focus on ease of use.
In the years since its original publication in 2015, Hands-on Start to Wolfram Mathematica has been translated into Chinese, Japanese and Korean to reach a wider audience. The book and its video series are the cornerstone of learning for individuals, courses and organizations' first use of Mathematica.
You can access companion material to this book, including video classes and live training tutorials, online. Contents
Part I: The Complete Overview
Chapter 1: The Very Basics
Chapter 2: A Sample Project in Mathematica
Chapter 3: Input and Output
Chapter 4: Word Processing and Typesetting
Chapter 5: Presenting with Slide Shows
Chapter 6: Fundamentals of the Wolfram Language
Chapter 7: Creating Interactive Models with a Single Command
Chapter 8: Wolfram|Alpha-Mode Notebooks—New Chapter!
Chapter 9: Sharing Mathematica Documents
Chapter 10: Finding Help
Part II: Extending Knowledge
Chapter 11: 2D and 3D Graphics
Chapter 12: Visualizing Data
Chapter 13: Styling and Customizing Graphics
Chapter 14: Creating Figures and Diagrams with Graphics Primitives
Chapter 15: Algebraic Manipulation and Equation Solving
Chapter 16: Calculus
Chapter 17: Differential Equations
Chapter 18: Linear Algebra
Chapter 19: Probability and Statistics
Chapter 20: Importing and Exporting Data
Chapter 21: Data Filtering and Manipulation
Chapter 22: Working with Curated Data
Chapter 23: Using Wolfram|Alpha Data in Mathematica
Chapter 24: Statistical Functionality for Data Analysis
Chapter 25: Machine Learning and Neural Networks—New Chapter!
Chapter 26: Image Processing—New Chapter!
Chapter 27: Creating Programs
Chapter 28: Creating Parallel and GPU Programs
Index Related Topics