You can access companion material to this book, including video classes and live training tutorials, online.
#MATHEMATICA 7 AMAZON SERIES#
The book and its video series are the cornerstone of learning for individuals, courses and organizations' first use of Mathematica. 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. 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. "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 Mathematicsįor more than 30 years, Mathematica has been the principal computation environment for millions of innovators, educators, students and others around the world. It puts to rest, once and for all, the frequently heard claim that Mathematica is difficult and not accessible to the school and college levels of our computational universe." -FRED SZABO at Concordia University in Montreal, author of Actuaries' Survival Guide "This book is a much-needed complement to existing support material for Mathematica in particular, and Wolfram technologies in general. Each cell may contain text, graphics, sounds or Mathematica expressions in any combination. Mathematica notebooks are structured interactive documents that are organized into a sequence of cells. The brackets on the right indicate the extent of each cell. Japanese, Chinese and Korean language editions are also available. A typical Mathematica notebook containing text, graphics and Mathematica expressions. New chapters include "Wolfram|Alpha-Mode Notebooks," "Machine Learning and Neural Networks" and "Image Processing." Updated index.
#MATHEMATICA 7 AMAZON UPDATE#
New for Version 12: a substantial update from the second edition, including three new chapters, code and product updates in virtually every chapter. Finance, Statistics & Business Analysis.Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Existing Mathematica users will also find a wide range of convenient enhancements in interface, language and algorithm depth and efficiency.Wolfram Data Framework Semantic framework for real-world data. Mathematica 11 builds on Wolfram's recent R&D breakthroughs in a host of areas-including neural network computation, audio integration and linguistic computing. Want to find the solution to a PDE and then 3D print it? Mathematica 11 provides integrated tools that yet again vastly expand the scope of cross-domain projects that can routinely be done by users at all levels. With its bold long-term vision of integrating and automating all areas of computation and knowledge, each new version of Mathematica makes new domains accessible as a routine part of any user's workflow. The step by step lesson delve into the applications of mathematica such numerical analysis and you may end up sharpening you. If you want to get familiar with mathematica to accomplish undergraduate levels tasks then this is the book to read. Representing a major milestone in an unprecedented 30-year journey, Mathematica 11 significantly extends the reach of Mathematica and introduces many innovations that give all Mathematica users new levels of power and effectiveness. This is an excellent introduction to mathematica and also covers some crucial features of mathematica 7. Mathematica 10 Mathematica 9 Mathematica 8 Mathematica 7 Mathematica 6 Mathematica 5 Mathematica 4 Mathematica 3 Mathematica 2 Mathematica 1 The Students Introduction to Mathematica and the Wolfram Language Torrence, Bruce F., Torrence, Eve A. Wolfram Data Framework Semantic framework for real-world data.