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Mathematica Data Analysis

You're reading from   Mathematica Data Analysis Learn and explore the fundamentals of data analysis with power of Mathematica

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781785884931
Length 164 pages
Edition 1st Edition
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Author (1):
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Sergiy Suchok Sergiy Suchok
Author Profile Icon Sergiy Suchok
Sergiy Suchok
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Toc

Table of Contents (10) Chapters Close

Preface 1. First Steps in Data Analysis FREE CHAPTER 2. Broad Capabilities for Data Import 3. Creating an Interface for an External Program 4. Analyzing Data with the Help of Mathematica 5. Discovering the Advanced Capabilities of Time Series 6. Statistical Hypothesis Testing in Two Clicks 7. Predicting the Dataset Behavior 8. Rock-Paper-Scissors – Intelligent Processing of Datasets Index

Chapter 3. Creating an Interface for an External Program

If you are reading this book, then surely you are familiar with other data processing systems and have some store of knowledge consisting of your own programs, procedures, and computation methods. Having learned about the broad capabilities of Mathematica, you will certainly wish to transfer this experience into a new environment in order to make computations more accurate and effective. Many mathematical algorithms have been implemented in Mathematica, so you do not need to repeat the computations—it is enough to describe their logic of working with the input data.

In this chapter, you will learn the following:

  • What Wolfram Symbolic Transfer Protocol is and how it can be used
  • How to transfer algorithms and data structures previously written in languages such as C, C++, .NET, Java, or R into Mathematica
  • How to use code written in Mathematica in an external program
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