DOCSLIB.ORG

Scientific Data Analysis Using Jython Scripting and Java Pdf, Epub, Ebook

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Scientific Data Analysis Using Jython Scripting and Java Pdf, Epub, Ebook SCIENTIFIC DATA ANALYSIS USING JYTHON SCRIPTING AND JAVA PDF, EPUB, EBOOK Sergei V. Chekanov | 440 pages | 13 Oct 2012 | Springer London Ltd | 9781447125815 | English | England, United Kingdom Scientific Data Analysis using Jython Scripting and Java PDF Book NetworkX is a library for studying graphs which helps you create, manipulate, and study the structure, dynamics, and functions of complex networks. All charts or "Canvases" used for data representation can be embedded into Web browsers. Awesome Python is part of the LibHunt network. 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. Kotori 1. There is no doubt that Python has become the main computer language that geospatial analysts and researchers use in their work in GIS and spatial analysis more broadly. It was created as jHepWork project in and it was initially written for data analysis for particle physics[1] using the Java software concept for International Linear Collider project developed at SLAC. NetworkX 9. Groovy is better integrated with Java and can be a factor three faster for long loops over primitives compared to Jython. Later versions of jHepWork were modified for general public use for scientists, engineers, students for educational purpose since the International Linear Collider project has stalled. Program Benefits Great entry point for those new to programming Learn to program using a popular language that is fast, free, easy to use, and runs on all major hardware platforms Learn the language of choice for high- demand job fields such as data science, machine learning, predictive analytics, big data and accessing web data. I would have to recommend Javascript for this purpose. We show how to analyze multidimensional data, display data on 2D and 3D canvases, plot a function and how to perform a full-scale linear regression analysis. Chekanov , Hardcover Be the first to write a review. Be the first to write a review. DMelt supports about 10 image formats for outputs. LynxKite 1. The library can also read and write to a variety of file formats. The use of Python has increased by a factor of 10 since and is projected to be more popular than the industry leading JAVA language in just a few years. Chekanov , Hardcover. Pandas is a library for data manipulation and analysis, providing data structures and operations for manipulating numerical tables and time series. Scientific Data Analysis using Jython Scripting and Java Writer Added by Kuldeep Jiwani 0 Comments 1 Like. There are several books describing the DMelt software platform. Here we have created a PND object from the file "pnd. SciPy 9. If you do this for the first time, Jython will create a cache directory with all available Java packages. Pandas and scikit-learn will be the primary Python packages covered in this course. The code is self-explanatory, and contains the comments to explain each step. Graduate students and researchers will benefit from the information presented in this book. One of the popular terms in machine learning techniques is data mining. Get performance insights in less than 4 minutes. SCOOP is a Python module for distributing concurrent parallel tasks on various environments, from heterogeneous grids of workstations to supercomputers. This includes common compatibility issues, when libraries installed may not work together well or different versions could cause exceptions in the code to arise. Would you like to refresh your session? A lover of music, writing and learning something out of the box. A Python-based ecosystem of open-source software for mathematics, science, and engineering. Feel free to suggest any additional Python software you find relevant in the comment section below. Otherwise Groovy which is based on Java syntax and may be an easier learning curve if most of your developers are Java guys. Here you can view the available code examples and run them. Cubes is a light-weight Python framework and set of tools for the development of reporting and analytical applications, Online Analytical Processing OLAP , multidimensional analysis, and browsing of aggregated data. Archives: Book 1 Book 2 More. A toolkit providing best- practice pipelines for fully automated high throughput sequencing analysis. Theano is a numerical computation Python library, allowing you to define, optimize, and evaluate mathematical expressions involving multidimensional arrays efficiently. Apache Mahout is a popular distributed linear algebra framework. As we see the rise of Python, for instance, in geospatial analysis, people who may not be adept at coding but want to learn Python could use Jupyter Notebooks to learn parts of code in a simple and easy to use manner. Longer version One oft-used argument in favour of having a scripting language is that it allows for lesser programmers to more trivial tasks. This session will be beneficial for both experienced programmers who want overview of modern tools and also those just getting started with scientific programming. DataMelt, or DMelt, is a software for numeric computation, statistics, analysis of large data volumes Big Data , and scientific visualization. Popular Comparisons Cubes. Some of the features are- Orange has interactive data visualisation and can also perform simple data analysis It includes interactive data exploration for rapid qualitative analysis with clean visualisation Know more here. Scientific Data Analysis using Jython Scripting and Java Reviews Huang, S, et al. Students will also be able to be self-sufficient taking on more advanced concepts and advanced courses. More than code snippets of around 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. Using matched polar axes and Cartesian axes, a special wind rose chart can be plotted using temporal observation data of wind direction, wind speed and PM 10 concentration top-centre plot in Figure 5. Best Selling in Nonfiction See all. The NetCDF Java library is an implementation of the CDM that can read these data formats and more, and is used in MeteoInfo for the implementation of scientific data input and output functions. SymPy 9. The obvious candidates are Groovy and Beanshell; Groovy seems to have been picking up momentum lately so I'd look most closely at it. If I were starting this system from scratch today, I would not choose Jython as the scripting language. About this product. There is one good reason for including a scripting language, namely where you need to be able to add new functionality which hence cannot be configured without redeployment. However if someone wants to do something more intense, Javascript is a very powerful functional programming language. Popular platforms have also helped to make it easier to code functions by adding model builders, which are extensions that help with basic programming and organization that links data and functionality created by users. You still need to compile the revised Java classes. This platform aims to research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection. Neupy 4. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis, curve fitting, metadata and neural networks. If necessary. We can think of a Jupyter Notebook as something that provides documentation, debugging, and execution in one environment, which also makes it useful for learning to code. It includes an interactive Jython development environment application providing MATLAB-like features, and Jython extension packages for multi-dimensional array calculation, 2-D and 3-D plotting, scientific dataset input and output, geospatial data operation, meteorological data calculation and image processing. Visit Corporate Training or call for information. Real-life Examples. The library was designed to implement the common functions used by MeteoInfoMap and MeteoInfoLab, which can also be used by other developers for multi-purpose software development. Figure 3 includes an example of calculating the water vapor flux divergency from air temperature, relative humidity and u- and v-wind component data, and the result is plotted on map axes from a simple script program. By the end of the course, students will be able to think computationally when solving data-related problems and assess and develop algorithms. Neteler, M, et al. Ultimately, the threshold to learning and developing Python tools for spatial analysis has become easier, which means we may see that Python continues for some time as the dominant language for geospatial applications. Examples will focus on NOAA and NASA datasets, the presented tools and techniques can be applied to other scientific datasets across other disciplines. A library for parsing and interpreting the results of computational chemistry packages. It has been adopted by a wide variety of industries and applications including data science, machine learning, data analytics, predictive analytics, business intelligence, and web analytics. Note that not everything with-in the python language will be covered such as user interfaces, web services, and object oriented programming. Relative to other, high level languages, Python is easier to use, being flexible with coding style and can be applied within different paradigms, including imperative, functional,
Load more

Recommended publications
  • Open Source Used in DNAC-Wide Area Bonjour Magneto
    Open Source Used In DNAC-Wide Area Bonjour Magneto Cisco Systems, Inc. www.cisco.com Cisco has more than 200 offices worldwide. Addresses, phone numbers, and fax numbers are listed on the Cisco website at www.cisco.com/go/offices. Text Part Number: 78EE117C99-1090203837 Open Source Used In DNAC-Wide Area Bonjour Magneto 1 This document contains licenses and notices for open source software used in this product. With respect to the free/open source software listed in this document, if you have any questions or wish to receive a copy of any source code to which you may be entitled under the applicable free/open source license(s) (such as the GNU Lesser/General Public License), please contact us at [email protected]. In your requests please include the following reference number 78EE117C99-1090203837 Contents 1.1 javax-activation 1.2.0 1.1.1 Available under license 1.2 metrics-servlets 3.1.0 1.3 mongodb-driver 3.0.4 1.4 jaxb-core 2.3.0 1.4.1 Available under license 1.5 antlr 2.7.6 1.5.1 Available under license 1.6 spring-boot-autoconfigure 1.5.12.RELEASE 1.7 spring-instrument 4.3.19.RELEASE 1.7.1 Available under license 1.8 nimbus-jose-jwt 4.3.1 1.9 javax-inject 1 1.9.1 Available under license 1.10 json-smart 1.3.1 1.11 opentracing-util 0.31.0 1.12 xpp3-min 1.1.3.4.O 1.12.1 Notifications 1.12.2 Available under license 1.13 ojdbc 6 1.14 jax-ws-api 2.3.0 1.15 aspect-j 1.9.2 1.15.1 Available under license 1.16 jetty-util 9.3.27.v20190418 1.17 unirest-java 1.4.5 1.18 jetty-continuation 9.3.27.v20190418 Open Source Used In
    [Show full text]
  • Chapter 12 Calc Macros Automating Repetitive Tasks Copyright
    Calc Guide Chapter 12 Calc Macros Automating repetitive tasks Copyright This document is Copyright © 2019 by the LibreOffice Documentation Team. Contributors are listed below. You may distribute it and/or modify it under the terms of either the GNU General Public License (http://www.gnu.org/licenses/gpl.html), version 3 or later, or the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), version 4.0 or later. All trademarks within this guide belong to their legitimate owners. Contributors This book is adapted and updated from the LibreOffice 4.1 Calc Guide. To this edition Steve Fanning Jean Hollis Weber To previous editions Andrew Pitonyak Barbara Duprey Jean Hollis Weber Simon Brydon Feedback Please direct any comments or suggestions about this document to the Documentation Team’s mailing list: [email protected]. Note Everything you send to a mailing list, including your email address and any other personal information that is written in the message, is publicly archived and cannot be deleted. Publication date and software version Published December 2019. Based on LibreOffice 6.2. Using LibreOffice on macOS Some keystrokes and menu items are different on macOS from those used in Windows and Linux. The table below gives some common substitutions for the instructions in this chapter. For a more detailed list, see the application Help. Windows or Linux macOS equivalent Effect Tools > Options menu LibreOffice > Preferences Access setup options Right-click Control + click or right-click
    [Show full text]
  • Administration and Configuration Guide
    Red Hat JBoss Data Virtualization 6.4 Administration and Configuration Guide This guide is for administrators. Last Updated: 2018-09-26 Red Hat JBoss Data Virtualization 6.4 Administration and Configuration Guide This guide is for administrators. Red Hat Customer Content Services Legal Notice Copyright © 2018 Red Hat, Inc. This document is licensed by Red Hat under the Creative Commons Attribution-ShareAlike 3.0 Unported License. If you distribute this document, or a modified version of it, you must provide attribution to Red Hat, Inc. and provide a link to the original. If the document is modified, all Red Hat trademarks must be removed. Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law. Red Hat, Red Hat Enterprise Linux, the Shadowman logo, JBoss, OpenShift, Fedora, the Infinity logo, and RHCE are trademarks of Red Hat, Inc., registered in the United States and other countries. Linux ® is the registered trademark of Linus Torvalds in the United States and other countries. Java ® is a registered trademark of Oracle and/or its affiliates. XFS ® is a trademark of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. MySQL ® is a registered trademark of MySQL AB in the United States, the European Union and other countries. Node.js ® is an official trademark of Joyent. Red Hat Software Collections is not formally related to or endorsed by the official Joyent Node.js open source or commercial project.
    [Show full text]
  • Java (Programming Langua a (Programming Language)
    Java (programming language) From Wikipedia, the free encyclopedialopedia "Java language" redirects here. For the natural language from the Indonesian island of Java, see Javanese language. Not to be confused with JavaScript. Java multi-paradigm: object-oriented, structured, imperative, Paradigm(s) functional, generic, reflective, concurrent James Gosling and Designed by Sun Microsystems Developer Oracle Corporation Appeared in 1995[1] Java Standard Edition 8 Update Stable release 5 (1.8.0_5) / April 15, 2014; 2 months ago Static, strong, safe, nominative, Typing discipline manifest Major OpenJDK, many others implementations Dialects Generic Java, Pizza Ada 83, C++, C#,[2] Eiffel,[3] Generic Java, Mesa,[4] Modula- Influenced by 3,[5] Oberon,[6] Objective-C,[7] UCSD Pascal,[8][9] Smalltalk Ada 2005, BeanShell, C#, Clojure, D, ECMAScript, Influenced Groovy, J#, JavaScript, Kotlin, PHP, Python, Scala, Seed7, Vala Implementation C and C++ language OS Cross-platform (multi-platform) GNU General Public License, License Java CommuniCommunity Process Filename .java , .class, .jar extension(s) Website For Java Developers Java Programming at Wikibooks Java is a computer programming language that is concurrent, class-based, object-oriented, and specifically designed to have as few impimplementation dependencies as possible.ble. It is intended to let application developers "write once, run ananywhere" (WORA), meaning that code that runs on one platform does not need to be recompiled to rurun on another. Java applications ns are typically compiled to bytecode (class file) that can run on anany Java virtual machine (JVM)) regardless of computer architecture. Java is, as of 2014, one of tthe most popular programming ng languages in use, particularly for client-server web applications, witwith a reported 9 million developers.[10][11] Java was originallyy developed by James Gosling at Sun Microsystems (which has since merged into Oracle Corporation) and released in 1995 as a core component of Sun Microsystems'Micros Java platform.
    [Show full text]
  • Not-Dead-Yet--Java-On-Desktop.Pdf
    NOT DEAD YET Java on Desktop About me… Gerrit Grunwald 2012… The desktop is dead… …the future of applications… …is the Web ! 8 years later… My application folder… My applications folder (future) My applications folder (reality) ??? Seems desktop is not dead ! But what about Java ? Available Toolkits AWT Abstract Window Toolkit Abstract Window Toolkit Since 1995 Cross Platform Platform dependent Bound to native controls Interface to native controls SWT Standard Window Toolkit Standard Window Toolkit Based on IBM Smalltalk from 1993 Cross Platform Platform dependent Wrapper around native controls Java Swing Successor to AWT Java Swing Since Java 1.2 (1998) Cross Platform Platform independent Introduced Look and Feels Emulates the appearance of native controls Java FX Script Intended successor to Swing Java FX Script Since Java 1.6 (2008) Cross Platform Platform independent No Java Syntax Declarative way to describe UI's (based on F3 from Chris Oliver) Java FX Successor to Swing Java FX Since Java 7 (2011) Cross Platform Platform independent Port from JavaFX Script to Java Not part of the Java SE distribution since Java 11 Most of these are still in use… Is Java FX dead ? Is Java FX dead ? Open Sourced as OpenJFX (openjfx.io) Driven by the community Can run on mobile using Gluon technology (gluonhq.com) Can run on web using JPro technology (jpro.one) Actively developed and is getting new features too Where does Java on Desktop suck ? Lack of 3rd party controls Swing had great support over years, JavaFX lacks behind Missing features… e.g.
    [Show full text]
  • Scala Tutorial
    Scala Tutorial SCALA TUTORIAL Simply Easy Learning by tutorialspoint.com tutorialspoint.com i ABOUT THE TUTORIAL Scala Tutorial Scala is a modern multi-paradigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way. Scala has been created by Martin Odersky and he released the first version in 2003. Scala smoothly integrates features of object-oriented and functional languages. This tutorial gives a great understanding on Scala. Audience This tutorial has been prepared for the beginners to help them understand programming Language Scala in simple and easy steps. After completing this tutorial, you will find yourself at a moderate level of expertise in using Scala from where you can take yourself to next levels. Prerequisites Scala Programming is based on Java, so if you are aware of Java syntax, then it's pretty easy to learn Scala. Further if you do not have expertise in Java but you know any other programming language like C, C++ or Python, then it will also help in grasping Scala concepts very quickly. Copyright & Disclaimer Notice All the content and graphics on this tutorial are the property of tutorialspoint.com. Any content from tutorialspoint.com or this tutorial may not be redistributed or reproduced in any way, shape, or form without the written permission of tutorialspoint.com. Failure to do so is a violation of copyright laws. This tutorial may contain inaccuracies or errors and tutorialspoint provides no guarantee regarding the accuracy of the site or its contents including this tutorial. If you discover that the tutorialspoint.com site or this tutorial content contains some errors, please contact us at [email protected] TUTORIALS POINT Simply Easy Learning Table of Content Scala Tutorial ..........................................................................
    [Show full text]
  • Scala for the Impatient
    Scala for the Impatient Copyright © Cay S. Horstmann 2012. All Rights Reserved. The evolution of Java and C++ has slowed down considerably, and programmers who are eager to use more modern language features are looking elsewhere. Scala is an attractive choice; in fact, I think it is by far the most attractive choice for programmers who want to move beyond Java or C++. Scala has a concise syntax that is refreshing after the Java boilerplate. It runs on the Java virtual machine, providing access to a huge set of libraries and tools. It embraces the functional programming style without abandoning object-orientation, giving you an incremental learning path to a new paradigm. The Scala interpreter lets you run quick experiments, which makes learning Scala very enjoyable. And, last but not least, Scala is statically typed, enabling the compiler to find errors, so that you don't waste time finding them later in running programs (or worse, don't find them). I wrote this book for impatient readers who want to start programming with Scala right away. I assume you know Java, C#, or C++, and I won't bore you with explaining variables, loops, or classes. I won't exhaustively list all features of the language, I won't lecture you about the superiority of one paradigm over another, and I won't make you suffer through long and contrived examples. Instead, you will get the information that you need in compact chunks that you can read and review as needed. Scala is a big language, but you can use it effectively without knowing all of its details intimately.
    [Show full text]
  • Programming Groovy.Pdf
    What readers are saying about Programming Groovy More than a tutorial on the Groovy language, Programming Groovy is an excellent resource for learning the advanced concepts of metaob- ject programming, unit testing with mocks, and DSLs. This is a must- have reference for any developer interested in learning to program dynamically. Joe McTee Developer, JEKLsoft Venkat does a fantastic job of presenting many of the advanced fea- tures of Groovy that make it so powerful. He is able to present those ideas in a way that developers will find very easy to internalize. This book will help Groovy developers take their kung fu to the next level. Great work, Venkat! Jeff Brown Member, the Groovy and Grails development teams At this point in my career, I am really tired of reading books that introduce languages. This volume was a pleasant breath of fresh air, however. Not only has Venkat successfully translated his engaging speaking style into a book, he has struck a good balance between introductory material and those aspects of Groovy that are new and exciting. Java developers will quickly grasp the relevant concepts without feeling like they are being insulted. Readers new to the plat- form will also be comfortable with the arc he presents. Brian Sletten Zepheira, LLC You simply won’t find a more comprehensive resource for getting up to speed on Groovy metaprogramming. Jason Rudolph Author, Getting Started with Grails This book is an important step forward in mastering the language. Venkat takes the reader beyond simple keystrokes and syntax into the deep depths of “why?” Groovy brings a subtle sophistication to the Java platform that you didn’t know was missing.
    [Show full text]
  • Advanced-Java.Pdf
    Advanced java i Advanced java Advanced java ii Contents 1 How to create and destroy objects 1 1.1 Introduction......................................................1 1.2 Instance Construction.................................................1 1.2.1 Implicit (Generated) Constructor.......................................1 1.2.2 Constructors without Arguments.......................................1 1.2.3 Constructors with Arguments........................................2 1.2.4 Initialization Blocks.............................................2 1.2.5 Construction guarantee............................................3 1.2.6 Visibility...................................................4 1.2.7 Garbage collection..............................................4 1.2.8 Finalizers...................................................5 1.3 Static initialization..................................................5 1.4 Construction Patterns.................................................5 1.4.1 Singleton...................................................6 1.4.2 Utility/Helper Class.............................................7 1.4.3 Factory....................................................7 1.4.4 Dependency Injection............................................8 1.5 Download the Source Code..............................................9 1.6 What’s next......................................................9 2 Using methods common to all objects 10 2.1 Introduction...................................................... 10 2.2 Methods equals and hashCode...........................................
    [Show full text]
  • Java Programming 2 – Lecture #1 – [email protected]
    Java Programming 2 – Lecture #1 – [email protected] About the Java Programming Language Java is an object-oriented, high-level programming language. It is a platform-neutral language, with a ‘write once run anywhere’ philosophy. This is supported by a virtual machine architecture called the Java Virtual Machine (JVM). Java source programs are compiled to JVM bytecode class files, which are converted to native machine code on platform-specific JVM instances. .java source .class JVM executable code files Java bytecode files JVM machine code compiler runtime Java is currently one of the top programming languages, according to most popularity metrics.1 Since its introduction in the late 1990s, it has rapidly grown in importance due to its familiar programming syntax (C-like), good support for modularity, relatively safe features (e.g. garbage collection) and comprehensive library support. Our First Java Program It is traditional to write a ‘hello world’ program as a first step in a new language: /** * a first example program to print Hello world */ public class Hello { public static void main(String [] args) { System.out.println(“Hello world”); } } Contrast with Python Whereas Python programs are concise, Java programs appear verbose in comparison. Python has dynamic typing, but Java uses static typing. Python scripts are generally interpreted from source, whereas Java programs are compiled to bytecode then executed in a high-performance just-in-time native compiler. 1 E.g. see http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html Supporting User Input in Simple Java Programs There are two ways to receive text-based user input in simple programs like our ‘hello world’ example.
    [Show full text]
  • Java Programming Language Family Godiva Scala Processing Aspectj Groovy Javafx Script Einstein J Sharp Judoscript Jasmin Beanshell
    JAVA PROGRAMMING LANGUAGE FAMILY GODIVA SCALA PROCESSING ASPECTJ GROOVY JAVAFX SCRIPT EINSTEIN J SHARP JUDOSCRIPT JASMIN BEANSHELL PDF-33JPLFGSPAGJSEJSJJB16 | Page: 133 File Size 5,909 KB | 10 Oct, 2020 PDF File: Java Programming Language Family Godiva Scala Processing Aspectj Groovy Javafx Script 1/3 Einstein J Sharp Judoscript Jasmin Beanshell - PDF-33JPLFGSPAGJSEJSJJB16 TABLE OF CONTENT Introduction Brief Description Main Topic Technical Note Appendix Glossary PDF File: Java Programming Language Family Godiva Scala Processing Aspectj Groovy Javafx Script 2/3 Einstein J Sharp Judoscript Jasmin Beanshell - PDF-33JPLFGSPAGJSEJSJJB16 Java Programming Language Family Godiva Scala Processing Aspectj Groovy Javafx Script Einstein J Sharp Judoscript Jasmin Beanshell e-Book Name : Java Programming Language Family Godiva Scala Processing Aspectj Groovy Javafx Script Einstein J Sharp Judoscript Jasmin Beanshell - Read Java Programming Language Family Godiva Scala Processing Aspectj Groovy Javafx Script Einstein J Sharp Judoscript Jasmin Beanshell PDF on your Android, iPhone, iPad or PC directly, the following PDF file is submitted in 10 Oct, 2020, Ebook ID PDF-33JPLFGSPAGJSEJSJJB16. Download full version PDF for Java Programming Language Family Godiva Scala Processing Aspectj Groovy Javafx Script Einstein J Sharp Judoscript Jasmin Beanshell using the link below: Download: JAVA PROGRAMMING LANGUAGE FAMILY GODIVA SCALA PROCESSING ASPECTJ GROOVY JAVAFX SCRIPT EINSTEIN J SHARP JUDOSCRIPT JASMIN BEANSHELL PDF The writers of Java Programming Language Family Godiva Scala Processing Aspectj Groovy Javafx Script Einstein J Sharp Judoscript Jasmin Beanshell have made all reasonable attempts to offer latest and precise information and facts for the readers of this publication. The creators will not be held accountable for any unintentional flaws or omissions that may be found.
    [Show full text]
  • 1. with Examples of Different Programming Languages Show How Programming Languages Are Organized Along the Given Rubrics: I
    AGBOOLA ABIOLA CSC302 17/SCI01/007 COMPUTER SCIENCE ASSIGNMENT ​ 1. With examples of different programming languages show how programming languages are organized along the given rubrics: i. Unstructured, structured, modular, object oriented, aspect oriented, activity oriented and event oriented programming requirement. ii. Based on domain requirements. iii. Based on requirements i and ii above. 2. Give brief preview of the evolution of programming languages in a chronological order. 3. Vividly distinguish between modular programming paradigm and object oriented programming paradigm. Answer 1i). UNSTRUCTURED LANGUAGE DEVELOPER DATE Assembly Language 1949 FORTRAN John Backus 1957 COBOL CODASYL, ANSI, ISO 1959 JOSS Cliff Shaw, RAND 1963 BASIC John G. Kemeny, Thomas E. Kurtz 1964 TELCOMP BBN 1965 MUMPS Neil Pappalardo 1966 FOCAL Richard Merrill, DEC 1968 STRUCTURED LANGUAGE DEVELOPER DATE ALGOL 58 Friedrich L. Bauer, and co. 1958 ALGOL 60 Backus, Bauer and co. 1960 ABC CWI 1980 Ada United States Department of Defence 1980 Accent R NIS 1980 Action! Optimized Systems Software 1983 Alef Phil Winterbottom 1992 DASL Sun Micro-systems Laboratories 1999-2003 MODULAR LANGUAGE DEVELOPER DATE ALGOL W Niklaus Wirth, Tony Hoare 1966 APL Larry Breed, Dick Lathwell and co. 1966 ALGOL 68 A. Van Wijngaarden and co. 1968 AMOS BASIC FranÇois Lionet anConstantin Stiropoulos 1990 Alice ML Saarland University 2000 Agda Ulf Norell;Catarina coquand(1.0) 2007 Arc Paul Graham, Robert Morris and co. 2008 Bosque Mark Marron 2019 OBJECT-ORIENTED LANGUAGE DEVELOPER DATE C* Thinking Machine 1987 Actor Charles Duff 1988 Aldor Thomas J. Watson Research Center 1990 Amiga E Wouter van Oortmerssen 1993 Action Script Macromedia 1998 BeanShell JCP 1999 AngelScript Andreas Jönsson 2003 Boo Rodrigo B.
    [Show full text]