#### Overview of this book

There are many algorithms for data analysis and it’s not always possible to quickly choose the best one for each case. Implementation of the algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result from the use of a particular method, because this system contains almost all the known algorithms for data analysis. If you are not a programmer but you need to analyze data, this book will show you the capabilities of Mathematica when just few strings of intelligible code help to solve huge tasks from statistical issues to pattern recognition. If you're a programmer, with the help of this book, you will learn how to use the library of algorithms implemented in Mathematica in your programs, as well as how to write algorithm testing procedure. With each chapter, you'll be more immersed in the special world of Mathematica. Along with intuitive queries for data processing, we will highlight the nuances and features of this system, allowing you to build effective analysis systems. With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel.
Mathematica Data Analysis
Credits
www.PacktPub.com
Preface
Free Chapter
First Steps in Data Analysis
Creating an Interface for an External Program
Analyzing Data with the Help of Mathematica
Discovering the Advanced Capabilities of Time Series
Statistical Hypothesis Testing in Two Clicks
Predicting the Dataset Behavior
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