By Sergei V. Chekanov
Numerical computation, wisdom discovery and statistical facts research built-in with strong second and 3D portraits for visualisation are the main issues of this booklet. The Python code examples powered by way of the Java platform can simply be remodeled to different programming languages, equivalent to Java, Groovy, Ruby and BeanShell. This e-book equips the reader with a computational platform which, not like different statistical courses, isn't really restricted by way of a unmarried programming language.
The writer specializes in useful programming features and covers a wide diversity of themes, from simple creation to the Python language at the Java platform (Jython), to descriptive information, symbolic calculations, neural networks, non-linear regression research and lots of different data-mining subject matters. He discusses how to define regularities in real-world facts, the way to classify info, and the way to procedure info for wisdom discoveries. The code snippets are so brief that they simply healthy into unmarried pages.
Numeric Computation and Statistical information research at the Java Platform is a brilliant selection when you are looking to find out how statistical information research will be performed utilizing renowned programming languages, who are looking to combine facts research algorithms in full-scale purposes, and installation such calculations on the internet pages or computational servers regardless of their working system. it really is an exceptional reference for medical computations to solve real-world difficulties utilizing a comprehensive stack of open-source Java libraries integrated within the DataMelt (DMelt) venture and will be favored via many data-analysis scientists, engineers and students.
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Extra resources for Numeric Computation and Statistical Data Analysis on the Java Platform
Just to recall: any number in Jython is an object and you can manipulate with it as with any object to be discussed below. For example, Jython integers are objects holding integer values. This is unlike C++ and Java where integers are primitive types. Is it good if simple entities, such as numbers are, have properties of objects? For interactive manipulation with a code and fast prototyping, probably we do not care so much, or even can take advantage of this property. But, for numerical libraries, this feature is unnecessary and, certainly, too heavy for high-performance calculations.
Py" should be created. There are several ways to do this: (1) Select [File]-[New]-[jHPlot script] in the main menu. A new template Jython script should appear; (2) Use the menu [File]-[New]-[Text document]. py" in the File Browser. If a script with the user analysis program is ready, one should save it. But before this, you may check syntax errors without actual execution of the macro file. Look at the menu [Run] and [Check Jython syntax]. In case of errors, the IDE will point to a line with an error.
Sh" to the "$HOME/ bin" directory, so one can start DMelt from any directory. jar" is located. sh" (for Linux/Mac OS) or "dmelt. bat" (Windows) launch programs, DMelt takes more time to start than usual. , it creates a new directory "cachedir" inside the directory "lib/jython" with the description of all classes located in jar files defined in the CLASSPATH variable. Next time when you execute the startup script, the DMelt IDE will start fast as the package cache is ready (of course, if you did not modify the Java CLASSPATH before starting the DMelt IDE).
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