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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 -
Rexx Programmer's Reference
01_579967 ffirs.qxd 2/3/05 9:00 PM Page i Rexx Programmer’s Reference Howard Fosdick 01_579967 ffirs.qxd 2/3/05 9:00 PM Page iv 01_579967 ffirs.qxd 2/3/05 9:00 PM Page i Rexx Programmer’s Reference Howard Fosdick 01_579967 ffirs.qxd 2/3/05 9:00 PM Page ii Rexx Programmer’s Reference Published by Wiley Publishing, Inc. 10475 Crosspoint Boulevard Indianapolis, IN 46256 www.wiley.com Copyright © 2005 by Wiley Publishing, Inc., Indianapolis, Indiana Published simultaneously in Canada ISBN: 0-7645-7996-7 Manufactured in the United States of America 10 9 8 7 6 5 4 3 2 1 1MA/ST/QS/QV/IN No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600. Requests to the Publisher for permission should be addressed to the Legal Department, Wiley Publishing, Inc., 10475 Crosspoint Blvd., Indianapolis, IN 46256, (317) 572-3447, fax (317) 572-4355, e-mail: [email protected]. LIMIT OF LIABILITY/DISCLAIMER OF WARRANTY: THE PUBLISHER AND THE AUTHOR MAKE NO REPRESENTATIONS OR WARRANTIES WITH RESPECT TO THE ACCURACY OR COM- PLETENESS OF THE CONTENTS OF THIS WORK AND SPECIFICALLY DISCLAIM ALL WAR- RANTIES, INCLUDING WITHOUT LIMITATION WARRANTIES OF FITNESS FOR A PARTICULAR PURPOSE. -
Rapid Research with Computer Algebra Systems
doi: 10.21495/71-0-109 25th International Conference ENGINEERING MECHANICS 2019 Svratka, Czech Republic, 13 – 16 May 2019 RAPID RESEARCH WITH COMPUTER ALGEBRA SYSTEMS C. Fischer* Abstract: Computer algebra systems (CAS) are gaining popularity not only among young students and schol- ars but also as a tool for serious work. These highly complicated software systems, which used to just be regarded as toys for computer enthusiasts, have reached maturity. Nowadays such systems are available on a variety of computer platforms, starting from freely-available on-line services up to complex and expensive software packages. The aim of this review paper is to show some selected capabilities of CAS and point out some problems with their usage from the point of view of 25 years of experience. Keywords: Computer algebra system, Methodology, Wolfram Mathematica 1. Introduction The Wikipedia page (Wikipedia contributors, 2019a) defines CAS as a package comprising a set of algo- rithms for performing symbolic manipulations on algebraic objects, a language to implement them, and an environment in which to use the language. There are 35 different systems listed on the page, four of them discontinued. The oldest one, Reduce, was publicly released in 1968 (Hearn, 2005) and is still available as an open-source project. Maple (2019a) is among the most popular CAS. It was first publicly released in 1984 (Maple, 2019b) and is still popular, also among users in the Czech Republic. PTC Mathcad (2019) was published in 1986 in DOS as an engineering calculation solution, and gained popularity for its ability to work with typeset mathematical notation in combination with automatic computations. -
Scripting: Higher- Level Programming for the 21St Century
. John K. Ousterhout Sun Microsystems Laboratories Scripting: Higher- Cybersquare Level Programming for the 21st Century Increases in computer speed and changes in the application mix are making scripting languages more and more important for the applications of the future. Scripting languages differ from system programming languages in that they are designed for “gluing” applications together. They use typeless approaches to achieve a higher level of programming and more rapid application development than system programming languages. or the past 15 years, a fundamental change has been ated with system programming languages and glued Foccurring in the way people write computer programs. together with scripting languages. However, several The change is a transition from system programming recent trends, such as faster machines, better script- languages such as C or C++ to scripting languages such ing languages, the increasing importance of graphical as Perl or Tcl. Although many people are participat- user interfaces (GUIs) and component architectures, ing in the change, few realize that the change is occur- and the growth of the Internet, have greatly expanded ring and even fewer know why it is happening. This the applicability of scripting languages. These trends article explains why scripting languages will handle will continue over the next decade, with more and many of the programming tasks in the next century more new applications written entirely in scripting better than system programming languages. languages and system programming -
10 Programming Languages You Should Learn Right Now by Deborah Rothberg September 15, 2006 8 Comments Posted Add Your Opinion
10 Programming Languages You Should Learn Right Now By Deborah Rothberg September 15, 2006 8 comments posted Add your opinion Knowing a handful of programming languages is seen by many as a harbor in a job market storm, solid skills that will be marketable as long as the languages are. Yet, there is beauty in numbers. While there may be developers who have had riches heaped on them by knowing the right programming language at the right time in the right place, most longtime coders will tell you that periodically learning a new language is an essential part of being a good and successful Web developer. "One of my mentors once told me that a programming language is just a programming language. It doesn't matter if you're a good programmer, it's the syntax that matters," Tim Huckaby, CEO of San Diego-based software engineering company CEO Interknowlogy.com, told eWEEK. However, Huckaby said that while his company is "swimmi ng" in work, he's having a nearly impossible time finding recruits, even on the entry level, that know specific programming languages. "We're hiring like crazy, but we're not having an easy time. We're just looking for attitude and aptitude, kids right out of school that know .Net, or even Java, because with that we can train them on .Net," said Huckaby. "Don't get fixated on one or two languages. When I started in 1969, FORTRAN, COBOL and S/360 Assembler were the big tickets. Today, Java, C and Visual Basic are. In 10 years time, some new set of languages will be the 'in thing.' …At last count, I knew/have learned over 24 different languages in over 30 years," Wayne Duqaine, director of Software Development at Grandview Systems, of Sebastopol, Calif., told eWEEK. -
Safe, Fast and Easy: Towards Scalable Scripting Languages
Safe, Fast and Easy: Towards Scalable Scripting Languages by Pottayil Harisanker Menon A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy. Baltimore, Maryland Feb, 2017 ⃝c Pottayil Harisanker Menon 2017 All rights reserved Abstract Scripting languages are immensely popular in many domains. They are char- acterized by a number of features that make it easy to develop small applications quickly - flexible data structures, simple syntax and intuitive semantics. However they are less attractive at scale: scripting languages are harder to debug, difficult to refactor and suffers performance penalties. Many research projects have tackled the issue of safety and performance for existing scripting languages with mixed results: the considerable flexibility offered by their semantics also makes them significantly harder to analyze and optimize. Previous research from our lab has led to the design of a typed scripting language built specifically to be flexible without losing static analyzability. Inthis dissertation, we present a framework to exploit this analyzability, with the aim of producing a more efficient implementation Our approach centers around the concept of adaptive tags: specialized tags attached to values that represent how it is used in the current program. Our frame- work abstractly tracks the flow of deep structural types in the program, and thuscan ii ABSTRACT efficiently tag them at runtime. Adaptive tags allow us to tackle key issuesatthe heart of performance problems of scripting languages: the framework is capable of performing efficient dispatch in the presence of flexible structures. iii Acknowledgments At the very outset, I would like to express my gratitude and appreciation to my advisor Prof. -
Complementary Slides for the Evolution of Programming Languages
The Evolution of Programming Languages In Text: Chapter 2 Programming Language Genealogy 2 Zuse’s Plankalkül • Designed in 1945, but not published until 1972 • Never implemented • Advanced data structures – floating point, arrays, records • Invariants 3 Plankalkül Syntax • An assignment statement to assign the expression A[4] + 1 to A[5] | A + 1 => A V | 4 5 (subscripts) S | 1.n 1.n (data types) 4 Minimal Hardware Programming: Pseudocodes • Pseudocodes were developed and used in the late 1940s and early 1950s • What was wrong with using machine code? – Poor readability – Poor modifiability – Expression coding was tedious – Machine deficiencies--no indexing or floating point 5 Machine Code • Any binary instruction which the computer’s CPU will read and execute – e.g., 10001000 01010111 11000101 11110001 10100001 00010101 • Each instruction performs a very specific task, such as loading a value into a register, or adding two binary numbers together 6 Short Code: The First Pseudocode • Short Code developed by Mauchly in 1949 for BINAC computers – Expressions were coded, left to right – Example of operations: 01 – 06 abs value 1n (n+2)nd power 02 ) 07 + 2n (n+2)nd root 03 = 08 pause 4n if <= n 04 / 09 ( 58 print and tab 7 • Variables were named with byte-pair codes – E.g., X0 = SQRT(ABS(Y0)) – 00 X0 03 20 06 Y0 – 00 was used as padding to fill the word 8 IBM 704 and Fortran • Fortran 0: 1954 - not implemented • Fortran I: 1957 – Designed for the new IBM 704, which had index registers and floating point hardware • This led to the idea of compiled -
Comparative Studies of 10 Programming Languages Within 10 Diverse Criteria Revision 1.0
Comparative Studies of 10 Programming Languages within 10 Diverse Criteria Revision 1.0 Rana Naim∗ Mohammad Fahim Nizam† Concordia University Montreal, Concordia University Montreal, Quebec, Canada Quebec, Canada [email protected] [email protected] Sheetal Hanamasagar‡ Jalal Noureddine§ Concordia University Montreal, Concordia University Montreal, Quebec, Canada Quebec, Canada [email protected] [email protected] Marinela Miladinova¶ Concordia University Montreal, Quebec, Canada [email protected] Abstract This is a survey on the programming languages: C++, JavaScript, AspectJ, C#, Haskell, Java, PHP, Scala, Scheme, and BPEL. Our survey work involves a comparative study of these ten programming languages with respect to the following criteria: secure programming practices, web application development, web service composition, OOP-based abstractions, reflection, aspect orientation, functional programming, declarative programming, batch scripting, and UI prototyping. We study these languages in the context of the above mentioned criteria and the level of support they provide for each one of them. Keywords: programming languages, programming paradigms, language features, language design and implementation 1 Introduction Choosing the best language that would satisfy all requirements for the given problem domain can be a difficult task. Some languages are better suited for specific applications than others. In order to select the proper one for the specific problem domain, one has to know what features it provides to support the requirements. Different languages support different paradigms, provide different abstractions, and have different levels of expressive power. Some are better suited to express algorithms and others are targeting the non-technical users. The question is then what is the best tool for a particular problem. -
Webscript – a Scripting Language for the Web
WebScript – A Scripting Language for the Web Yin Zhang Cornell Network Research Group (CNRG) Department of Computer Science Cornell University Ithaca, NY 14853, U.S.A. E-mail: [email protected] Abstract WebScript is a scripting language for processing Web documents. Designed as an extension to Jacl, the Java implementation of Tcl, WebScript allows programmers to manipulate HTML in the same way as Tcl manipulates text strings and GUI elements. This leads to a completely new way of writing the next generation of Web applications. This paper presents the motivation behind the design and implementation of WebScript , an overview of its major features, as well as some demonstrations of its power. 1 Introduction WebScript is a scripting language for processing Web documents. It is designed and implemented as an extension to Jacl [10, 11], the Java [1] implementation of Tcl [17]. With a concise set of commands and library routines, WebScript allows programmers to manipulate HTML [9] in the same way as Tcl manipulates text strings and GUI elements. Meanwhile, the underlying integration of Java and Tcl technologies allows programmers to have all the goodies of both Java and Tcl for free. In addition, WebScript provides useful language features like pipe, threads etc. that greatly simplify the task of programming. We believe that all these features have made WebScript an ideal language for quick prototyping and developing the next generation of Web applications. This paper presents the motivation behind the design and implementation of WebScript , an overview of its major language features, as well as some demonstrations of its power. -
The PLT Course at Columbia
Alfred V. Aho [email protected] The PLT Course at Columbia Guest Lecture PLT September 10, 2014 Outline • Course objectives • Language issues • Compiler issues • Team issues Course Objectives • Developing an appreciation for the critical role of software in today’s world • Discovering the principles underlying the design of modern programming languages • Mastering the fundamentals of compilers • Experiencing an in-depth capstone project combining language design and translator implementation Plus Learning Three Vital Skills for Life Project management Teamwork Communication both oral and written The Importance of Software in Today’s World How much software does the world use today? Guesstimate: around one trillion lines of source code What is the sunk cost of the legacy software base? $100 per line of finished, tested source code How many bugs are there in the legacy base? 10 to 10,000 defects per million lines of source code Alfred V. Aho Software and the Future of Programming Languages Science, v. 303, n. 5662, 27 February 2004, pp. 1331-1333 Why Take Programming Languages and Compilers? To discover the marriage of theory and practice To develop computational thinking skills To exercise creativity To reinforce robust software development practices To sharpen your project management, teamwork and communication (both oral and written) skills Why Take PLT? To discover the beautiful marriage of theory and practice in compiler design “Theory and practice are not mutually exclusive; they are intimately connected. They live together and support each other.” [D. E. Knuth, 1989] Theory in practice: regular expression pattern matching in Perl, Python, Ruby vs. AWK Running time to check whether a?nan matches an regular expression and text size n Russ Cox, Regular expression matching can be simple and fast (but is slow in Java, Perl, PHP, Python, Ruby, ...) [http://swtch.com/~rsc/regexp/regexp1.html, 2007] Computational Thinking – Jeannette Wing Computational thinking is a fundamental skill for everyone, not just for computer scientists. -
Csc 311 Survey of Programming of Programming Languages Overview of Programing Languages
CSC 311 SURVEY OF PROGRAMMING OF PROGRAMMING LANGUAGES OVERVIEW OF PROGRAMING LANGUAGES LECTURE ONE Lesson objectives By the end of this lesson, students should be able to: Understand programming and programming language Describe flow of programming language Describe the structure of programming language Describe different classification of programming language Identify why are there so many programming languages Identify what makes a language successful Describe importance of programming language What is Programming? A program is a set of instructions use in performing specific task. Therefore, Programming is an act of writing programs. Meaning of Programming Language Programming Languages are important for software technologies. It is a basic one, without it programming could not do a thing about software. It is a key factor to every software. There are different types of programming languages that are currently trendy. Such as: • C • C++ • Java • C# • Python • Ruby. etc Normal Language is a communication between two people. We are using English, Tamil, Hindi and so on using communication between two people. Flow of programming Languages Compiler Compiler is an intermediary to understand each language. Compiler converts High level languages to low level languages as well as low level languages convert to high level languages. Each language needs at least one compiler. Without compiler we could not understand low level language. Input Output Structure of Programming Languages Each programming Language has separate structure but a little bit changes in each programming change. Syntax wise we only have changes of each programming language otherwise it's the same structure. Header file is some supporting files. It is located at the top of program. -
Linguistic Modeling Based on Symbolic Calculations
UDC 81`32 A.G. Sinyutich LINGUISTIC MODELING BASED ON SYMBOLIC CALCULATIONS Brest State University named after A.S. Pushkin Анотація Дана стаття містить інформацію про символьних обчисленнях і системах комп'ютерної алгебри, за допомогою яких символьні обчислення виконуються. Про системи символьних обчислень, як ефективні інструменти в моделюванні лінгвістичних феноменів. Ключові слова: лінгвістичне моделювання, символьні обчислення, лінгвістика, комп'ютерна алгебра, комп'ютерне моделювання Abstract This article contains information about symbol calculations and computer algebra systems, through which the symbolic computations are performed. About systems of symbolic calculations, as effective tools in modeling of linguistic phenomena. Key words: linguistic modeling, symbolic calculations, linguistics, computer algebra, computer modeling Symbolic computation involves the processing of mathematical expressions and their elements as sequences of symbols (as opposed to numerical calculations that operate with numeric values behind mathematical expressions). Modern symbolic calculations are represented as dynamically developing field of mathematical modeling. The development of symbolic methods of modeling carried out through computer algebra. Practical implementation of symbolic modeling is made on the basis of the use of computer algebra system (CAS): Maple, Sage, Maxima, Reduce, etc. Most of the cases solved by computer algebra systems are purely mathematical in their essence: the mathematical nature (the disclosure of products and degrees, factorization, differentiation, integration, calculation of the limits of functions and sequences, the solution of equations, operating with series, etc.). However, the universality of symbolic calculations and their potential in modeling linguistic phenomena has never been questioned. And the MATHLAB, one of the first systems of computer algebra, was created within the framework of the project of research of artificial intelligence (MITRE) on the basis of language LISP.