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SETL for Internet Data Processing
SETL for Internet Data Processing by David Bacon A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Computer Science New York University January, 2000 Jacob T. Schwartz (Dissertation Advisor) c David Bacon, 1999 Permission to reproduce this work in whole or in part for non-commercial purposes is hereby granted, provided that this notice and the reference http://www.cs.nyu.edu/bacon/phd-thesis/ remain prominently attached to the copied text. Excerpts less than one PostScript page long may be quoted without the requirement to include this notice, but must attach a bibliographic citation that mentions the author’s name, the title and year of this disser- tation, and New York University. For my children ii Acknowledgments First of all, I would like to thank my advisor, Jack Schwartz, for his support and encour- agement. I am also grateful to Ed Schonberg and Robert Dewar for many interesting and helpful discussions, particularly during my early days at NYU. Terry Boult (of Lehigh University) and Richard Wallace have contributed materially to my later work on SETL through grants from the NSF and from ARPA. Finally, I am indebted to my parents, who gave me the strength and will to bring this labor of love to what I hope will be a propitious beginning. iii Preface Colin Broughton, a colleague in Edmonton, Canada, first made me aware of SETL in 1980, when he saw the heavy use I was making of associative tables in SPITBOL for data processing in a protein X-ray crystallography laboratory. -
Modern Programming Languages CS508 Virtual University of Pakistan
Modern Programming Languages (CS508) VU Modern Programming Languages CS508 Virtual University of Pakistan Leaders in Education Technology 1 © Copyright Virtual University of Pakistan Modern Programming Languages (CS508) VU TABLE of CONTENTS Course Objectives...........................................................................................................................4 Introduction and Historical Background (Lecture 1-8)..............................................................5 Language Evaluation Criterion.....................................................................................................6 Language Evaluation Criterion...................................................................................................15 An Introduction to SNOBOL (Lecture 9-12).............................................................................32 Ada Programming Language: An Introduction (Lecture 13-17).............................................45 LISP Programming Language: An Introduction (Lecture 18-21)...........................................63 PROLOG - Programming in Logic (Lecture 22-26) .................................................................77 Java Programming Language (Lecture 27-30)..........................................................................92 C# Programming Language (Lecture 31-34) ...........................................................................111 PHP – Personal Home Page PHP: Hypertext Preprocessor (Lecture 35-37)........................129 Modern Programming Languages-JavaScript -
AB42.4.8 REMARKS on ABSTRACTO Leo Geurts Lambert
AB42 p. 56 AB42.4.8 REMARKS ON ABSTRACTO Leo Geurts Lambert Meertens Mathematlsch Centrum, Amsterdam I. ABSTRACTO LIVES If an author wants to describe an algorithm, he has to choose a vehicle to express himself. The "traditional" way is to give a description in some natural language, such as English. This vehicle has some obvious drawbacks. The most striking one is that of the sloppyness of natural languages. Hill [|] gives a convincing (and hilarious) exposition of ambiguities in ordinary English, quoting many examples from actual texts for instructional or similar purposes. The problem is often not so much that of syntactical ambiguities ("You would not recognise little Johnny now. He has grown another foot.") as that of unintended possible interpretations ("How many times can you take 6 away from a million? [...] I can do this as many times as you like."). A precise and unambiguous description may require lengthy and repetitious phrases. The more precise the description, the more difficult it is to understand for many, if not most, people. Another drawback of natural languages is the inadequacy of referencing or grouping methods (the latter for lack of non-parenthetical parentheses). This tends to give rise to GOTO-like instructions. With the advent of modern computing automata, programming languages have been invented to communicate algorithms to these computers. Programming languages are almost by definition precise and unambiguous. Nevertheless, they do not provide an ideal vehicle for presenting algorithms to human beings. The reason for this is that programming languages require the specification of many details which are relevant for the computing equipment but not for the algorithm proper. -
301669474.Pdf
Centrum voor Wiskunde en Informatica Centre for Mathematics and Computer Science L.G.L.T. Meertens Paramorphisms Computer Science/ Department of Algorithmics & Architecture Report CS-R9005 February Dib'I( I, 1fle.'1 Cootrumvoor ~', ;""'" ,,., tn!o.-1 Y.,'~• Am.,t,..-(,';if'! The Centre for Mathematics and Computer Science is a research institute of the Stichting Mathematisch Centrum, which was founded on February 11, 1946, as a nonprofit institution aiming at the promotion of mathematics, com puter science, and their applications. It is sponsored by the Dutch Govern ment through the Netherlands Organization for the Advancement of Research (N.W.O.). Copyright © Stichting Mathematisch Centrum, Amsterdam Paramorphisms Lambert Meertens CWI, Amsterdam, & University of Utrecht 0 Context This paper is a small contribution in the context of an ongoing effort directed towards the design of a calculus for constructing programs. Typically, the development of a program contains many parts that are quite standard, re quiring no invention and posing no intellectual challenge of any kind. If, as is indeed the aim, this calculus is to be usable for constructing programs by completely formal manipulation, a major concern is the amount of labour currently required for such non-challenging parts. On one level this concern can be addressed by building more or less spe cialised higher-level theories that can be drawn upon in a derivation, as is usual in almost all branches of mathematics, and good progress is being made here. This leaves us still with much low-level laboriousness, like admin istrative steps with little or no algorithmic content. Until now, the efforts in reducing the overhead in low-level formal labour have concentrated on using equational reasoning together with specialised notations to avoid the introduction of dummy variables, in particular for "canned induction" in the form of promotion properties for homomorphisms- which have turned out to be ubiquitous. -
Preconditions/Postconditions Author: Robert Dewar Abstract: Ada Gem
Gem #31: preconditions/postconditions Author: Robert Dewar Abstract: Ada Gem #31 — The notion of preconditions and postconditions is an old one. A precondition is a condition that must be true before a section of code is executed, and a postcondition is a condition that must be true after the section of code is executed. Let’s get started… The notion of preconditions and postconditions is an old one. A precondition is a condition that must be true before a section of code is executed, and a postcondition is a condition that must be true after the section of code is executed. In the context we are talking about here, the section of code will always be a subprogram. Preconditions are conditions that must be guaranteed by the caller before the call, and postconditions are results guaranteed by the subprogram code itself. It is possible, using pragma Assert (as defined in Ada 2005, and as implemented in all versions of GNAT), to approximate run-time checks corresponding to preconditions and postconditions by placing assertion pragmas in the body of the subprogram, but there are several problems with that approach: 1. The assertions are not visible in the spec, and preconditions and postconditions are logically a part of (in fact, an important part of) the spec. 2. Postconditions have to be repeated at every exit point. 3. Postconditions often refer to the original value of a parameter on entry or the result of a function, and there is no easy way to do that in an assertion. The latest versions of GNAT implement two pragmas, Precondition and Postcondition, that deal with all three problems in a convenient way. -
Understanding Programming Languages
Understanding Programming Languages M. Ben-Ari Weizmann Institute of Science Originally published by John Wiley & Sons, Chichester, 1996. Copyright °c 2006 by M. Ben-Ari. You may download, display and print one copy for your personal use in non-commercial academic research and teaching. Instructors in non-commerical academic institutions may make one copy for each student in his/her class. All other rights reserved. In particular, posting this document on web sites is prohibited without the express permission of the author. Contents Preface xi I Introduction to Programming Languages 1 1 What Are Programming Languages? 2 1.1 The wrong question . 2 1.2 Imperative languages . 4 1.3 Data-oriented languages . 7 1.4 Object-oriented languages . 11 1.5 Non-imperative languages . 12 1.6 Standardization . 13 1.7 Computer architecture . 13 1.8 * Computability . 16 1.9 Exercises . 17 2 Elements of Programming Languages 18 2.1 Syntax . 18 2.2 * Semantics . 20 2.3 Data . 21 2.4 The assignment statement . 22 2.5 Type checking . 23 2.6 Control statements . 24 2.7 Subprograms . 24 2.8 Modules . 25 2.9 Exercises . 26 v Contents vi 3 Programming Environments 27 3.1 Editor . 28 3.2 Compiler . 28 3.3 Librarian . 30 3.4 Linker . 31 3.5 Loader . 32 3.6 Debugger . 32 3.7 Profiler . 33 3.8 Testing tools . 33 3.9 Configuration tools . 34 3.10 Interpreters . 34 3.11 The Java model . 35 3.12 Exercises . 37 II Essential Concepts 38 4 Elementary Data Types 39 4.1 Integer types . -
Publiek Domein Laat Bedrijven Te Veel Invullen
Steven Pemberton, software-uitvinder en bouwer aan het World wide web Publiek domein laat bedrijven te veel invullen De Brit Steven Pemberton is al sinds 1982 verbonden aan het Centrum voor Wiskunde Informatica (CWI) in Amsterdam. Ook hij is een aartsvader van het internet. Specifiek van het World wide web, waarvan hij destijds dicht bij de uitvinding zat. Steven blijft naar de toekomst kijken, nog met dezelfde fraaie idealen. C.V. 19 februari 1953 geboren te Ash, Surrey, Engeland 1972-1975 Programmeur Research Support Unit Sussex University 1975-1977 Research Programmer Manchester University 1977-1982 Docent Computerwetenschap Brighton University 1982-heden Onderzoeker aan het Centrum voor Wiskunde & Informatica (CWI) Verder: 1993–1999 Hoofdredacteur SIGCHI Bulletin en ACM Interactions 1999–2009 Voorzitter HTML en XHTML2 werkgroepen van W3C 2008-heden Voorzitter XForms werkgroep W3C The Internet Guide to Amsterdam Homepage bij het CWI Op Wikipedia 1 Foto’s: Frank Groeliken Tekst: Peter Olsthoorn Steven Pemberton laat zich thuis interviewen, op een typisch Amsterdamse plek aan de Bloemgracht, op de 6e etage van een pakhuis uit 1625 met uitzicht op de Westertoren. Hij schrijft aan een boek, een voortzetting van zijn jaarlijkse lezing in Pakhuis de Zwijger, met in 2011 The Computer as Extended Phenotype (Computers, Genes and You) als titel. Wat is je thema? “De invloed van hard- en software op de maatschappij, vanuit de nieuwe technologie bezien. ‘Fenotype’ gaat over computers als product van onze genen, als een onderdeel van de evolutie. Je kunt de aanwas van succesvolle genen zien als een vorm van leren, of een vorm van geheugen. -
Ada Distilled by Richard Riehle
Ada Distilled by Richard Riehle An Introduction to Ada Programming for Experienced Computer Programmers by Richard Riehle AdaWorks Software Engineering http://www.adaworks.com Copyright 2002, AdaWorks Software Engineering Public Edition. Permission to copy if AdaWorks is acknowledged in copies Version: July 2003 Page 1 of 113 Ada Distilled by Richard Riehle Acknowledgments There are always a lot of people involved in the creation of any book, even one as small and modest as this one. Those who have contributed to the best features of this book include my students at Naval Postgraduate School, Mr. Michael Berenato of Computer Sciences Corporation, Mr. Ed Colbert of Absolute Software, and many students from Lockheed-Martin Corporation, Computer Sciences Corporation, British Aerospace, various branches of the uniformed services, to name a few. I also owe a special thanks to Dr. Ben Brosgol, Dr. Robert Dewar, Mr. Mark Gerhardt, and Dr. Mantak Shing for what I have learned from them. Also thanks to the contributors to comp.lang.ada Usenet forum and the Team_Ada Listserve. Phil Thornley deserves extra credit for his detailed reading of the manuscript and many corrections. Special thanks goes to Ed Colbert for his careful study of some of my program examples. He is one of those people who can spot a program error at fifty paces. Using this unique skill, Ed brought many errors, some big and some small, to my attention. Also thanks to more recent input from Phil Thornley and Adrian Hoe. Any other errors are strictly mine. Any mistakes in wording, spelling, or facts are mine and mine alone. -
Ezért Érdemes Pythonban Fejleszteni Dr.Guta Gábor
Ezért érdemes Pythonban fejleszteni Dr.Guta Gábor http://axonmatics.com Mennyire népszerű? index/ (7) - Forrás: https://www.tiobe.com/tiobe Forrás: 2019 (C) Axonmatics Ltd. - Air Quality Monitoring and Control for a Confidential Healthier City http://axonmatics.com 2019.11.27. – Dr. Guta Gábor Miért népszerű? Az ABC nyelv elveinek a továbbgondolása: • Egyszerű, python • Kompakt, - • Strukturált, • Kifejező, • Egységes, • Magas-szintű, https://freesvg.org/happy : • Egyértelmű, Forrás • Interaktív (Adaptálva: Leo Geurts, Lambert Meertens, and Steven Pemberton: The ABC Programmer's Handbook) http://axonmatics.com 2019.11.27. – Dr. Guta Gábor Miért népszerű? (folyt.) Hatékonyság: • Megvalósítandó feladat/ráfordított idő python - • Átlagos commit méret (KLOC-ban) Elérhetőség: https://freesvg.org/happy • Eszköz támogatás : • Oktató anyag/dokumentáció Forrás • Képzett emberek http://axonmatics.com 2019.11.27. – Dr. Guta Gábor Miért lehet utálni? mouth • Formázás (tabulálás) - • Nincs típusosság (de, van) • Nem olyan mint a megszokott/kedvenc programozási nyelv http://www.peakpx.com/5335/python • Lassú (általában ez nem gond, Forrás: de orvosolható) (Környezetemben hangzottak el) http://axonmatics.com 2019.11.27. – Dr. Guta Gábor Kik használják a nagyvilágban? • Web oldalak: Instagram, YouTube, Printest, Prezi… “Python where we • Cégek: Dropbox, Google, can, C++ where Bloomberg, Spotify… we must.” • Alkalmazások: Gedit, yum, Home Assistant, Cura… http://axonmatics.com 2019.11.27. – Dr. Guta Gábor Mire használják a nagyvilágban? 2019/python/ Fejlesztők -
Art, Artist, and Witness(Ing) in Canada's Truth and Reconciliation
Dance with us as you can…: Art, Artist, and Witness(ing) in Canada’s Truth and Reconciliation Journey by Jonathan Robert Dewar A thesis submitted to the Faculty of Graduate and Postdoctoral Affairs in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Indigenous and Canadian Studies Carleton University Ottawa, Ontario © 2017, Jonathan Robert Dewar Abstract This dissertation explores, through in-depth interviews, the perspectives of artists and curators with regard to the question of the roles of art and artist – and the themes of community, responsibility, and practice – in truth, healing, and reconciliation during the early through late stages of the 2008-2015 mandate of the Truth and Reconciliation Commission of Canada (TRC), as its National Events, statement taking, and other programming began to play out across the country. The author presents the findings from these interviews alongside observations drawn from the unique positioning afforded to him through his professional work in healing and reconciliation-focused education and research roles at the Aboriginal Healing Foundation (2007-2012) and the Shingwauk Residential Schools Centre (2012-2016) about the ways art and artists were invoked and involved in the work of the TRC, alongside it, and/or in response to it. A chapter exploring Indigenous writing and reconciliation, with reference to the work of Basil Johnston, Jeannette Armstrong, Tomson Highway, Maria Campbell, Richard Wagamese, and many others, leads into three additional case studies. The first explores the challenges of exhibiting the legacies of Residential Schools, focusing on Jeff Thomas’ seminal curatorial work on the archival photograph-based exhibition Where Are the Children? Healing the Legacy of Residential Schools and Heather Igloliorte’s curatorial work on the exhibition ‘We were so far away…’: The Inuit Experience of Residential Schools, itself a response to feedback on Where Are the Children? Both examinations draw extensively from the author’s interviews with the curators. -
AINSE Plasma Science and Technology
AU94136G4 I AU9413768 AINSE Plasma Science and Technology C^onterence iNis-mf—13853 & Elizabeth and Frederick White Workshop on Fundamental Problems in the Physics of Magnetically Confined Plasmas Canberra 12-15 July 1993 Conference Handbook ISSN 08123357 AINSE Plasma Science and Technology Conference k Elizabeth and Frederick White Workshop on Fundamental Problems in the Physics of Magnetically Confined Plasmas Australian Academy of Science Canberra 12-15 July, 1993 The Conference Committee Prof R L Dewar President Australian National University Dr H J Gardner Secretary Australian National University Prof S M Hamberger Australian National University Dr R W Boswell Australian National University Dr L E Sharp Australian National University Dr B Luther-Davies Australian National University Dr A Cheetham University of Canberra A/Prof J A Lehane University of Sydney Dr R Gammon AINSE Dr IJ Donnelly ANSTO Invited Speakers Prof Amitava Bhattacharjee University of Iowa Prof John Cary University of Colorado, Boulder Prof Liu Chen University of California, Irvine Dr Anthony Cooper EPFL, Switzerland Prof Peter Dyson La Trobe University Dr Barry Green ITER Joint Central Team, Naka, Japan Dr John Keller IBM, East Fishkill, New York Dr Hajime Kuwahara Nissin Electric, Kyoto Dr John Lowke CSIRO Division of Applied Physics Dr V Petrzilka Czech Academy of Science, Prague Dr S Ramakrishnan CSIRO Division of Manufacturing Technology Prof Alfred Wong University of California, Los Angeles The Conference Committee gratefully acknowledges the support of the Elizabeth and Frederick White Research Conference Fund of the Australian Academy of Science and the support of the Australian Institute of Nuclear Science and Engineering. This is the 19th AINSE Plasma Physics conference. -
Oral History Interview with Robert Goldberg
An Interview with ROBERT GOLDBERG OH 207 Conducted by David S. Cargo on 27 July 1990 Flagstaff, AZ Charles Babbage Institute Center for the History of Information Processing University of Minnesota, Minneapolis 1 Robert Goldberg Interview 27 July 1990 Abstract Goldberg describes his use of Icon in the classroom at Illinois Institute of Technology and emphasizes the strength of Icon for instructional purposes over other programming languages. He discusses his interaction with Ralph Griswold when working on the various implementations of Icon. Goldberg describes the strong documentation produced by the Icon project and his own work on conversion of Icon from a UNIX to a VAS VMS implementation. He discusses the development of a PC version of Icon and his own use of Icon in normal work. 2 ROBERT GOLDBERG INTERVIEW DATE: July 27, 1990 INTERVIEWER: David S. Cargo LOCATION: Flagstaff, AZ CARGO: Okay, Bob, why don't you tell me about your educational background prior to the time that you got involved with Icon. GOLDBERG: I have a bachelor's degree in mathematics and computer science from the University of Illinois at Urbana. I have a master's degree in computer science from Illinois Institute of Technology in Chicago. CARGO: Could you give me a couple of dates for those? GOLDBERG: Bachelor's degree - 1973; master's degree - 1977. Since that time I have taught part-time at IIT. And I think my title, at this point, is adjunct assistant professor. I typically teach one course a semester. And one of the reasons that I went to IIT is that I became a SNOBOL aficionado when I was at the University of Illinois, I ended up at IIT because of Robert Dewar, who had done SPITBOL, and I worked with him while he was at IIT.