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Description
NEW THIRD EDITION AVAILABLE. The second edition added new content for 3D printing and Version 11 graphics capabilities, including word clouds; customizing/labeling; and new content for working with data, audio, linguistic data and dates; and an all-new index. Paperback (English): ePub (English): Japanese, Chinese and Korean language editions are also available. "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 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. Contents Introduction 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 Sharing Mathematica Notebooks Chapter 9 Finding Help Part II Extending Knowledge Chapter 10 2D and 3D Graphics Chapter 11 Visualizing Data Chapter 12 Styling and Customizing Graphics Chapter 13 Creating Figures and Diagrams with Graphics Primitives Chapter 14 Algebraic Manipulation and Equation Solving Chapter 15 Calculus Chapter 16 Differential Equations Chapter 17 Linear Algebra Chapter 18 Probability and Statistics Chapter 19 Importing and Exporting Data Chapter 20 Data Filtering and Manipulation Chapter 21 Working with Curated Data Chapter 22 Using Wolfram|Alpha Data in Mathematica Chapter 23 Statistical Functionality for Data Analysis Chapter 24 Creating Programs Chapter 25 Creating Parallel and GPU Programs Index Additional Resources Sample Chapter Kindle Version Companion Website Related Topics Tutorial and Reference |
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