Scientific Data Analysis using Jython Scripting and Java

Author: Sergei V. Chekanov

Publisher: Springer Science & Business Media

ISBN: 9781849962872

Category: Computers

Page: 440

View: 1141

Scientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Java scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis, curve fitting, metadata and neural networks. A comprehensive coverage of data visualisation tools implemented in Java is also included. Written by the primary developer of the jHepWork data-analysis framework, the book provides a reliable and complete reference source laying the foundation for data-analysis applications using Java scripting. More than 250 code snippets (of around 10-20 lines each) written in Jython and Java, plus several real-life examples help the reader develop a genuine feeling for data analysis techniques and their programming implementation. This is the first data-analysis and data-mining book which is completely based on the Jython language, and opens doors to scripting using a fully multi-platform and multi-threaded approach. Graduate students and researchers will benefit from the information presented in this book.

Numeric Computation and Statistical Data Analysis on the Java Platform

Author: Sergei V. Chekanov

Publisher: Springer

ISBN: 3319285319

Category: Computers

Page: 620

View: 6322

Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language. The author focuses on practical programming aspects and covers a broad range of topics, from basic introduction to the Python language on the Java platform (Jython), to descriptive statistics, symbolic calculations, neural networks, non-linear regression analysis and many other data-mining topics. He discusses how to find regularities in real-world data, how to classify data, and how to process data for knowledge discoveries. The code snippets are so short that they easily fit into single pages. Numeric Computation and Statistical Data Analysis on the Java Platform is a great choice for those who want to learn how statistical data analysis can be done using popular programming languages, who want to integrate data analysis algorithms in full-scale applications, and deploy such calculations on the web pages or computational servers regardless of their operating system. It is an excellent reference for scientific computations to solve real-world problems using a comprehensive stack of open-source Java libraries included in the DataMelt (DMelt) project and will be appreciated by many data-analysis scientists, engineers and students.

Numeric Computation and Statistical Data Analysis on the Java Platform

Author: Sergei V. Chekanov

Publisher: Springer

ISBN: 3319285319

Category: Computers

Page: 620

View: 6964

Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language. The author focuses on practical programming aspects and covers a broad range of topics, from basic introduction to the Python language on the Java platform (Jython), to descriptive statistics, symbolic calculations, neural networks, non-linear regression analysis and many other data-mining topics. He discusses how to find regularities in real-world data, how to classify data, and how to process data for knowledge discoveries. The code snippets are so short that they easily fit into single pages. Numeric Computation and Statistical Data Analysis on the Java Platform is a great choice for those who want to learn how statistical data analysis can be done using popular programming languages, who want to integrate data analysis algorithms in full-scale applications, and deploy such calculations on the web pages or computational servers regardless of their operating system. It is an excellent reference for scientific computations to solve real-world problems using a comprehensive stack of open-source Java libraries included in the DataMelt (DMelt) project and will be appreciated by many data-analysis scientists, engineers and students.

Jython Essentials

Rapid Scripting in Java

Author: Samuele Pedroni,Noel Rappin

Publisher: "O'Reilly Media, Inc."

ISBN: 1449397778

Category: Computers

Page: 302

View: 4078

Jython is an implementation of the Python programming language written in 100% pure Java, so it runs under any compliant Java Virtual Machine. The secret to Jython's popularity lies in the combination of Java's librariesand tools with Python's rapid development capabilities. With Jython, you can write Python programs that integrate seamlessly with any Java code. And like Python, Jython can be used interactively, so you can get immediate results as you are programming.Jython Essentials provides a solid introduction to the Python language, offering a brief but thorough tour of the Python concepts you'll need to understand to use Jython effectively. The book makes frequent comparisonsbetween Python and Java, with special emphasis on the different object-oriented semantics of the two languages, so Java programmers can quickly get up to speed with Jython.Jython Essentials also covers the various ways in which Jython and Java can interact. For example, Jython code can create instances of pre-existing Java classes and call methods in those instances. You can write Jython classes that are direct subclasses of existing Java classesand use introspection to discern the capabilities of JavaBeans components. This book provides examples of using Jython with existing Java libraries, including the Swing GUI toolkit, the JDBC database API, the Servlet API, and various XML tools. And finally, the book shows howJython can be used as a scripting language within a Java program.With Jython Essentials, you have everything you need to start creating applications that mix the best of Python's interactivity and Java's robust libraries.

Jython for Java Programmers

Author: Robert W. Bill

Publisher: Sams Publishing

ISBN: 9780735711112

Category: Computers

Page: 466

View: 5351

This book will help Java developers to increase application development and deployment, thus optimizing their overall efficiency. A brief introduction is provided that shows the differences between Java and Jython, important to include so that the reader will have a better understanding of why their union is beneficial. The remainder of the book teaches, through examples, how to use Jython. Intended for an experienced Java developer, this book assumes you understand the fundamentals to programming (i.e. loop statements, if.then, etc.). So, page space is focused on utilizing Jython with Java by covering the following: extending Python with java classes, modules, compiling, interpreters, design integration, etc. www.newriders.com contains all code and applications developed in the book.

Data Analysis and Graphics Using R

An Example-Based Approach

Author: John Maindonald,W. John Braun

Publisher: Cambridge University Press

ISBN: 1139486675

Category: Computers

Page: N.A

View: 6645

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.

Scripting in Java

Languages, Frameworks, and Patterns

Author: Dejan Bosanac

Publisher: Pearson Education

ISBN: 0132702290

Category: Computers

Page: 552

View: 8458

Groovy and Beyond: Leverage the Full Power of Scripting on the JavaTM Platform! Using the JavaTM platform’s new scripting support, you can improve efficiency, streamline your development processes, and solve problems ranging from prototyping to Web application programming. In Scripting in Java, Dejan Bosanac covers key aspects of scripting with Java, from the exciting new Groovy scripting language to Java’s new Scripting and Web Scripting APIs. Bosanac begins by reviewing the role and value of scripting languages, and then systematically introduces today’s best scripting solutions for the Java platform. He introduces Java scripting frameworks, identifies proven patterns for integrating scripting into Java applications, and presents practical techniques for everything from unit testing to project builds. He supports key concepts with extensive code examples that demonstrate scripting at work in real-world Java projects. Coverage includes · Why scripting languages offer surprising value to Java programmers · Scripting languages that run inside the JVM: BeanShell, JavaScript, and Python · Groovy in depth: installation, configuration, Java-like syntax, Java integration, security, and more · Groovy extensions: accessing databases, working with XML, and building simple Web applications and Swing-based UIs · Bean Scripting Framework: implementation, basic abstractions, and usage examples · Traditional and new patterns for Java-based scripting · JSR 223 Scripting API: language bindings, discovery mechanisms, threading, pluggable namespaces, and more · JSR 223 Web Scripting Framework: scripting the generation of Web content within servlet containers About the Web Site All code examples are available for download at this book’s companion Web site.

The Handbook On Reasoning-based Intelligent Systems

Author: Nakamatsu Kazumi,Jain Lakhmi C

Publisher: World Scientific

ISBN: 9814489166

Category: Computers

Page: 680

View: 1255

This book consists of various contributions in conjunction with the keywords “reasoning” and “intelligent systems”, which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally.

Python for Data Analysis

Data Wrangling with Pandas, NumPy, and IPython

Author: Wes McKinney

Publisher: "O'Reilly Media, Inc."

ISBN: 1491957611

Category: Computers

Page: 550

View: 7686

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Oracle Database Programming using Java and Web Services

Author: Kuassi Mensah

Publisher: Digital Press

ISBN: 9780080525112

Category: Computers

Page: 1120

View: 4642

The traditional division of labor between the database (which only stores and manages SQL and XML data for fast, easy data search and retrieval) and the application server (which runs application or business logic, and presentation logic) is obsolete. Although the books primary focus is on programming the Oracle Database, the concepts and techniques provided apply to most RDBMS that support Java including Oracle, DB2, Sybase, MySQL, and PostgreSQL. This is the first book to cover new Java, JDBC, SQLJ, JPublisher and Web Services features in Oracle Database 10g Release 2 (the coverage starts with Oracle 9i Release 2). This book is a must-read for database developers audience (DBAs, database applications developers, data architects), Java developers (JDBC, SQLJ, J2EE, and OR Mapping frameworks), and to the emerging Web Services assemblers. Describes pragmatic solutions, advanced database applications, as well as provision of a wealth of code samples. Addresses programming models which run within the database as well as programming models which run in middle-tier or client-tier against the database. Discusses languages for stored procedures: when to use proprietary languages such as PL/SQL and when to use standard languages such as Java; also running non-Java scripting languages in the database. Describes the Java runtime in the Oracle database 10g (i.e., OracleJVM), its architecture, memory management, security management, threading, Java execution, the Native Compiler (i.e., NCOMP), how to make Java known to SQL and PL/SQL, data types mapping, how to call-out to external Web components, EJB components, ERP frameworks, and external databases. Describes JDBC programming and the new Oracle JDBC 10g features, its advanced connection services (pooling, failover, load-balancing, and the fast database event notification mechanism) for clustered databases (RAC) in Grid environments. Describes SQLJ programming and the latest Oracle SQLJ 10g features , contrasting it with JDBC. Describes the latest Database Web services features, Web services concepts and Services Oriented Architecture (SOA) for DBA, the database as Web services provider and the database as Web services consumer. Abridged coverage of JPublisher 10g, a versatile complement to JDBC, SQLJ and Database Web Services.

WebSphere Application Server Administration Using Jython

Author: Robert A. Gibson,Arthur Kevin McGrath,Noel J. Bergman

Publisher: Pearson Education

ISBN: 0137043724

Category: Computers

Page: 504

View: 6786

Save Time and Money: Streamline WebSphere Application Server Management with Jython Scripting! Utilizing Jython scripting, you can dramatically reduce the effort, resources, and expense associated with managing WebSphere Application Server. WebSphere Application Server Administration Using Jython will show you how. The first start-to-finish guide to Jython scripting for WebSphere administration, this book’s practical techniques and downloadable scripts can help you improve efficiency, repeatability, and automation in any WebSphere environment. This book’s expert authors begin with practical introductions to both WebSphere Application Server administration and Jython, today’s powerful, Java implementation of Python. Next, they cover a broad spectrum of WebSphere management tasks and techniques, presenting real, easy-to-adapt solutions for everything from server configuration and security to database management. These are powerful solutions you can begin using immediately–whether you’re running WebSphere in production, development, or test environments. Coverage includes Mastering the Jython rules, characteristics, and properties that are most valuable in WebSphere scripting Viewing and manipulating WebSphere configuration and run-time details Making the most of the wsadmin scripting engine and objects–including rarely-used wsadmin parameters that can simplify administration Adjusting wsadmin properties to reflect your needs and environment Using the AdminApp scripting object to list, view, install, uninstall, and modify AppServer applications Using the AdminTask object to manipulate WebSphere Application Server at a high level Configuring the WebSphere Application Server with AdminConfig Manipulating active AppServer objects (MBeans) with AdminControl Controlling security, including aliases, roles, administrative and application security, and multiple security domains

Swing for Jython

Graphical Jython UI and Scripts Development using Java Swing and WebSphere Application Server

Author: Robert Gibson

Publisher: Apress

ISBN: 148420817X

Category: Computers

Page: 500

View: 1950

This book shows you how to use Swing to add a GUI to your Jython scripts, with an emphasis on the WebSphere Application Server wsadmin utility. In fact, we're going to teach you Swing using Jython, and we're going to do it in a way that, hopefully, that makes your scripts easier for people to use, more robust, more understandable, and therefore easier to maintain.

Python Programming with the Java Class Libraries

A Tutorial for Building Web and Enterprise Applications with Jython

Author: Richard Hightower

Publisher: Addison-Wesley Professional

ISBN: 0201616165

Category: Computers

Page: 620

View: 4057

"Whether you are sophisticated computer user new to programming or a serious application developer, Python Programming with the Java Class Libraries will give you insight into the power of Python and the know-how to put it to work."--Jacket.

The Definitive Guide to Jython

Python for the Java Platform

Author: Josh Juneau,Jim Baker,Frank Wierzbicki,Leo Soto Muñoz,Victor Ng

Publisher: Apress

ISBN: 1430225270

Category: Computers

Page: 544

View: 401

Jython is an open source implementation of the high-level, dynamic, object-oriented scripting language Python seamlessly integrated with the Java platform. The predecessor to Jython, JPython, is certified as 100% Pure Java. Jython is freely available for both commercial and noncommercial use and is distributed with source code. Jython is complementary to Java. The Definitive Guide to Jython, written by the official Jython team leads, covers Jython 2.5 (or 2.5.x)—from the basics to more advanced features. This book begins with a brief introduction to the language and then journeys through Jython’s different features and uses. The Definitive Guide to Jython is organized for beginners as well as advanced users of the language. The book provides a general overview of the Jython language itself, but it also includes intermediate and advanced topics regarding database, web, and graphical user interface (GUI) applications; Web services/SOA; and integration, concurrency, and parallelism, to name a few. What you’ll learn How to handle Jython basics like language syntax and concepts How to use the Jython scripting language for I/O, Java/Jython integration, and Jython in an IDE and databases How to integrate Jython with the Django web framework and even Spring How to develop web applications with Jython including web services/SOA, GUI considerations, and deployment targets How to conduct testing, continuous integration, concurrency, scaling, and more with Jython Who this book is for This book is for Java web developers looking to use a dynamic scripting language as an alternative to Groovy or JRuby. Other web developers who use Python and Django may also be interested in this book. Table of Contents Language and Syntax Data Types and Referencing Operators, Expressions, and Program Flow Defining Functions and Using Built-ins Input and Output Object-Oriented Jython Exception Handling and Debugging Modules and Packages for Code Reuse Scripting With Jython Jython and Java Integration Using Jython in an IDE Databases and Jython: Object Relational Mapping and Using JDBC Simple Web Applications Web Applications With Django Introduction to Pylons GUI Applications Deployment Targets Strategy and Technique Testing and Continuous Integration Concurrency Appendix A: Using Other Tools with Jython Appendix B: Jython Cookbook Appendix C: Built-in Functions

Python Scripting for Computational Science

Author: Hans Petter Langtangen

Publisher: Springer Science & Business Media

ISBN: 3662054507

Category: Computers

Page: 732

View: 4567

Scripting with Python makes you productive and increases the reliability of your scientific work. Here, the author teaches you how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in Python. The focus is on examples and applications of relevance to computational science: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping programs with graphical user interfaces; making computational Web services; creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran; and building flexible object-oriented programming interfaces to existing C/C++ or Fortran libraries.

A Primer on Scientific Programming with Python

Author: Hans Petter Langtangen

Publisher: Springer

ISBN: 3662498871

Category: Computers

Page: 922

View: 1938

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

Python for R Users

A Data Science Approach

Author: Ajay Ohri

Publisher: John Wiley & Sons

ISBN: 1119126762

Category: Computers

Page: 368

View: 1836

The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete with sample code—of R to Python and Python to R. Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data mining—including supervised and unsupervised data mining methods—are treated in detail, as are time series forecasting, text mining, and natural language processing. • Features a quick-learning format with concise tutorials and actionable analytics • Provides command-by-command translations of R to Python and vice versa • Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages • Offers numerous comparative examples and applications in both programming languages • Designed for use for practitioners and students that know one language and want to learn the other • Supplies slides useful for teaching and learning either software on a companion website Python for R Users: A Data Science Approach is a valuable working resource for computer scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as textbook for students of computer science and statistics. A. Ohri is the founder of Decisionstats.com and currently works as a senior data scientist. He has advised multiple startups in analytics off-shoring, analytics services, and analytics education, as well as using social media to enhance buzz for analytics products. Mr. Ohri's research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces for cloud computing, investigating climate change and knowledge flows. His other books include R for Business Analytics and R for Cloud Computing.

Java 9 Recipes

A Problem-Solution Approach

Author: Josh Juneau

Publisher: Apress

ISBN: 1484219767

Category: Computers

Page: 626

View: 9519

Quickly find solutions to dozens of common programming problems encountered while building Java applications. Content is presented in the popular problem-solution format. Look up the programming problem that you want to resolve. Read the solution. Apply the solution directly in your own code. Problem solved! This revised edition covers important new features such as Java 9's JShell and the new modularity features enabling you to separate code into independent modules that perform discrete tasks. Also covered are the new garbage collection algorithm and completely revamped process API. Enhanced JSON coverage is provided as well as a new chapter on JavaServer Faces development for web applications. What You'll Learn Develop Java SE applications using the latest in Java SE technology Exploit advanced features like modularity and lambdas Use JShell to quickly develop solutions Build dynamic web applications with JavaScript and Project Nashorn Create great-looking web interfaces with JavaServer Faces Generate graphics and work with media such as sound and video Add internationalization support to your Java applications Who This Book Is For Both beginning Java programmers and advanced Java developers

Spring Python 1.1

Author: Greg Lee Turnquist

Publisher: Packt Publishing Ltd

ISBN: 1849510679

Category: Computers

Page: 264

View: 368

The book is an introduction to Spring Python. It starts with simple practical applications, moving on to more advanced applications with two advanced case studies at the end of the book. It is packed with screenshots, examples, and ready-to-use code making it very suitable for a beginner while also showing tactics and concepts suitable for the most experienced developers. Each chapter starts with a simple problem to solve, and then dives into how Spring Python provides the solution with step-by-step code samples. Along the way, screenshots and diagrams are used to show critical parts of the solution. The case studies start off with a handful of use cases, and then proceed step-by-step to incrementally develop features. Some use cases are left to the reader to implement as an exercise. Key problems discovered along the way are exposed and then solved, giving the reader the chance to solve them, or to read the author's solutions. This book is for Python developers who want to take their applications to the next level, by adding/using parts that scale their application up, without adding unnecessary complexity. It is also helpful for Java developers who want to mix in some Python to speed up their coding effort.

Processor Microarchitecture

An Implementation Perspective

Author: Antonio Gonzalez,Fernando Latorre,Grigorios Magklis

Publisher: Morgan & Claypool Publishers

ISBN: 1608454525

Category: Computers

Page: 106

View: 1707

This lecture presents a study of the microarchitecture of contemporary microprocessors. The focus is on implementation aspects, with discussions on their implications in terms of performance, power, and cost of state-of-the-art designs. The lecture starts with an overview of the different types of microprocessors and a review of the microarchitecture of cache memories. Then, it describes the implementation of the fetch unit, where special emphasis is made on the required support for branch prediction. The next section is devoted to instruction decode with special focus on the particular support to decoding x86 instructions. The next chapter presents the allocation stage and pays special attention to the implementation of register renaming. Afterward, the issue stage is studied. Here, the logic to implement out-of-order issue for both memory and non-memory instructions is thoroughly described. The following chapter focuses on the instruction execution and describes the different functional units that can be found in contemporary microprocessors, as well as the implementation of the bypass network, which has an important impact on the performance. Finally, the lecture concludes with the commit stage, where it describes how the architectural state is updated and recovered in case of exceptions or misspeculations. This lecture is intended for an advanced course on computer architecture, suitable for graduate students or senior undergrads who want to specialize in the area of computer architecture. It is also intended for practitioners in the industry in the area of microprocessor design. The book assumes that the reader is familiar with the main concepts regarding pipelining, out-of-order execution, cache memories, and virtual memory. Table of Contents: Introduction / Caches / The Instruction Fetch Unit / Decode / Allocation / The Issue Stage / Execute / The Commit Stage / References / Author Biographies