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Synopsis
Essentials of Programming in Mathematica® provides an introduction suitable for readers with little or no background in the language as well as for those with some experience using programs such as C, Java, or Perl. The author, an established authority on Mathematica® programming, has written an example-driven text that covers the language from first principles, as well as including material from natural language processing, bioinformatics, graphs and networks, signal analysis, geometry, computer science, and many other applied areas. The book is appropriate for self-study or as a text for a course in programming in computational science. Readers will benefit from the author's tips, which provide insight and suggestions on small and large points. He also provides more than 350 exercises from novice through to advanced level with all of the solutions available online.
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About the Author
Paul Wellin worked for Wolfram Research from the mid-1990s through 2011 directing the Mathematica® training efforts with the Wolfram Education Group. He has taught mathematics at both public schools and at the university level for over twelve years. He has given talks, workshops, and seminars around the world on the integration of technical computing and education and he has served on numerous government advisory panels on these issues. He is the author and co-author of several books on Mathematica®.
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- PublisherCambridge University Press
- Publication date2016
- ISBN 10 110711666X
- ISBN 13 9781107116665
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages436
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Hardcover. Condition: new. Hardcover. Essentials of Programming in Mathematica provides an introduction suitable for readers with little or no background in the language as well as for those with some experience using programs such as C, Java, or Perl. The author, an established authority on Mathematica programming, has written an example-driven text that covers the language from first principles, as well as including material from natural language processing, bioinformatics, graphs and networks, signal analysis, geometry, computer science, and many other applied areas. The book is appropriate for self-study or as a text for a course in programming in computational science. Readers will benefit from the author's tips, which provide insight and suggestions on small and large points. He also provides more than 350 exercises from novice through to advanced level with all of the solutions available online. This introduction is suitable for someone who has little or no background in Mathematica, or who has some experience using other languages such as C, Java, or Perl. Starting from first principles, this example-driven text contains material from disciplines as varied as linguistics, bioinformatics, geometry, computer science, and many more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781107116665
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