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Download E-books Scientific Data Analysis using Jython Scripting and Java (Advanced Information and Knowledge Processing) PDF

Posted On February 2, 2017 at 10:52 pm by / Comments Off on Download E-books Scientific Data Analysis using Jython Scripting and Java (Advanced Information and Knowledge Processing) PDF

Medical info research utilizing Jython Scripting and Java offers sensible ways for facts research utilizing Java scripting in keeping with Jython, a Java implementation of the Python language. The chapters basically disguise all facets of knowledge research, from arrays and histograms to clustering research, curve becoming, metadata and neural networks. A accomplished assurance of information visualisation instruments applied in Java can be integrated. Written by way of the first developer of the jHepWork data-analysis framework, the e-book presents a competent and entire reference resource laying the basis for data-analysis purposes utilizing Java scripting. greater than 250 code snippets (of round 10-20 strains each one) written in Jython and Java, plus numerous real-life examples support the reader advance a real feeling for info research innovations and their programming implementation. this is often the 1st data-analysis and data-mining e-book that is thoroughly in line with the Jython language, and opens doorways to scripting utilizing a completely multi-platform and multi-threaded technique. Graduate scholars and researchers will enjoy the info provided during this publication.

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193 193 198 198 199 201 201 203 204 205 205 207 209 212 214 214 215 215 217 218 220 221 nine Random Numbers and Statistical Samples . . . . . nine. 1 Random Numbers in Jython . . . . . . . . . . . nine. 2 Random Numbers in Java . . . . . . . . . . . . nine. three Random Numbers from the Colt package deal . . . . nine. four Random Numbers from the jhplot. math package deal nine. four. 1 Apache universal Math package deal . . . . nine. five Random Sampling . . . . . . . . . . . . . . . . nine. five. 1 tools for 1D Arrays from jhplot. math . . . . . . . . . . . . . . . . . . . . . . . . 223 223 225 226 227 229 229 230 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xviii Contents nine. five. 2 tools for second Arrays from jhplot. math . . . . . . . . . . 232 nine. 6 Sampling utilizing the Colt package deal . . . . . . . . . . . . . . . . . . 233 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 10 Graphical Canvases . . . . . . . . . . . . . . . . . . . . 10. 1 HPlot Canvas . . . . . . . . . . . . . . . . . . . . . . 10. 2 operating with the HPlot Canvas . . . . . . . . . . . . 10. 2. 1 locate person or NDC Coordinators . . . . . . . 10. 2. 2 Zoom in to a undeniable quarter . . . . . . . . . 10. 2. three the right way to switch Titles, Legends and Labels . . 10. 2. four Edit variety of information Presentation . . . . . . . . 10. 2. five the way to regulate the worldwide Margins . . . . . . 10. 2. 6 Saving Plots in XML documents . . . . . . . . . . 10. 2. 7 examining information . . . . . . . . . . . . . . . . . 10. 2. eight cleansing the HPlot Canvas from portraits . . 10. 2. nine Axes . . . . . . . . . . . . . . . . . . . . . . 10. 2. 10Summary of the HPlot equipment . . . . . . . . 10. 2. 11Saving Drawings in a picture dossier . . . . . . . 10. three Labels and Keys . . . . . . . . . . . . . . . . . . . . 10. three. 1 easy textual content Labels . . . . . . . . . . . . . . 10. three. 2 Interactive Labels . . . . . . . . . . . . . . . 10. three. three Interactive textual content Labels with Keys . . . . . . . 10. four Geometrical Primitives . . . . . . . . . . . . . . . . 10. five textual content Strings and emblems . . . . . . . . . . . . . . . 10. 6 SHPlot classification. HPlot Canvas as a Singleton . . . . . . 10. 7 Visualizing Interconnected gadgets . . . . . . . . . . 10. eight exhibiting Charts . . . . . . . . . . . . . . . . . . . . 10. nine SPlot type. an easy Canvas . . . . . . . . . . . . . 10. nine. 1 Henon Attractor back . . . . . . . . . . . . 10. 10Canvas for Interactive Drawing . . . . . . . . . . . . 10. 10. 1Drawing Diagrams . . . . . . . . . . . . . . . 10. 10. 2SHPlotJa type . . . . . . . . . . . . . . . . . 10. 11HPlot2D Canvas . . . . . . . . . . . . . . . . . . . . 10. 123D Canvas . . . . . . . . . . . . . . . . . . . . . . . 10. 13HPlot3D Canvas . . . . . . . . . . . . . . . . . . . . 10. thirteen. 1HPlot3DP Canvas . . . . . . . . . . . . . . . 10. thirteen. 23D Geometry package deal . . . . . . . . . . . . . 10. 14Combining Graphs with Java Swing GUI parts 10. 15Showing Streams of information in actual Time . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235 236 238 238 238 238 239 239 240 240 241 241 242 242 244 244 245 246 248 249 249 251 253 254 256 257 258 259 260 262 263 263 266 267 270 271 eleven enter and Output . . . . . . . . . . . . . . . . eleven. 1 Non-persistent facts. Memory-based information . eleven. 2 Serialization of gadgets . . . . . . . . . . eleven. three Storing information repeatedly . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 273 274 276 . . . . . . . . . . . . . . . . . . . . . . . . Contents xix eleven. three. 1 Sequential enter and Output .

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