Comprehensive introduction to the Mathematica language
Emphasis on solving problems
Covers applications in science, engineering, economics/finance, computational linguistics, geoscience, bioinformatics, and a range of other fields
Designed for students, researchers, and programmers wishing to learn and deepen their understanding of Mathematica
Assumes no formal knowledge of programming
728 pages
Over 290 exercises – solutions to most included
Released January 2016
A more compact introduction to the Wolfram Language
Ideal for those new to the language as well as for those with some experience with C, Java, or Perl
Example-driven text covering the language from first principles
Examples and exercises from natural language processing, bioinformatics, graphs and networks, signal analysis, geometry, computer science, and many other applied areas
Appropriate for self-study or as a text for a course in programming in computational science
432 pages
More than 350 exercises from novice through advanced level with all solutions available online
