John Backus Video Interview Transcript
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The History of Computer Language Selection
The History of Computer Language Selection Kevin R. Parker College of Business, Idaho State University, Pocatello, Idaho USA [email protected] Bill Davey School of Business Information Technology, RMIT University, Melbourne, Australia [email protected] Abstract: This examines the history of computer language choice for both industry use and university programming courses. The study considers events in two developed countries and reveals themes that may be common in the language selection history of other developed nations. History shows a set of recurring problems for those involved in choosing languages. This study shows that those involved in the selection process can be informed by history when making those decisions. Keywords: selection of programming languages, pragmatic approach to selection, pedagogical approach to selection. 1. Introduction The history of computing is often expressed in terms of significant hardware developments. Both the United States and Australia made early contributions in computing. Many trace the dawn of the history of programmable computers to Eckert and Mauchly’s departure from the ENIAC project to start the Eckert-Mauchly Computer Corporation. In Australia, the history of programmable computers starts with CSIRAC, the fourth programmable computer in the world that ran its first test program in 1949. This computer, manufactured by the government science organization (CSIRO), was used into the 1960s as a working machine at the University of Melbourne and still exists as a complete unit at the Museum of Victoria in Melbourne. Australia’s early entry into computing makes a comparison with the United States interesting. These early computers needed programmers, that is, people with the expertise to convert a problem into a mathematical representation directly executable by the computer. -
CSC 272 - Software II: Principles of Programming Languages
CSC 272 - Software II: Principles of Programming Languages Lecture 1 - An Introduction What is a Programming Language? • A programming language is a notational system for describing computation in machine-readable and human-readable form. • Most of these forms are high-level languages , which is the subject of the course. • Assembly languages and other languages that are designed to more closely resemble the computer’s instruction set than anything that is human- readable are low-level languages . Why Study Programming Languages? • In 1969, Sammet listed 120 programming languages in common use – now there are many more! • Most programmers never use more than a few. – Some limit their career’s to just one or two. • The gain is in learning about their underlying design concepts and how this affects their implementation. The Six Primary Reasons • Increased ability to express ideas • Improved background for choosing appropriate languages • Increased ability to learn new languages • Better understanding of significance of implementation • Better use of languages that are already known • Overall advancement of computing Reason #1 - Increased ability to express ideas • The depth at which people can think is heavily influenced by the expressive power of their language. • It is difficult for people to conceptualize structures that they cannot describe, verbally or in writing. Expressing Ideas as Algorithms • This includes a programmer’s to develop effective algorithms • Many languages provide features that can waste computer time or lead programmers to logic errors if used improperly – E. g., recursion in Pascal, C, etc. – E. g., GoTos in FORTRAN, etc. Reason #2 - Improved background for choosing appropriate languages • Many professional programmers have a limited formal education in computer science, limited to a small number of programming languages. -
Evolution of the Major Programming Languages
COS 301 Programming Languages Evolution of the Major Programming Languages UMaine School of Computing and Information Science COS 301 - 2018 Topics Zuse’s Plankalkül Minimal Hardware Programming: Pseudocodes The IBM 704 and Fortran Functional Programming: LISP ALGOL 60 COBOL BASIC PL/I APL and SNOBOL SIMULA 67 Orthogonal Design: ALGOL 68 UMaine School of Computing and Information Science COS 301 - 2018 Topics (continued) Some Early Descendants of the ALGOLs Prolog Ada Object-Oriented Programming: Smalltalk Combining Imperative and Object-Oriented Features: C++ Imperative-Based Object-Oriented Language: Java Scripting Languages A C-Based Language for the New Millennium: C# Markup/Programming Hybrid Languages UMaine School of Computing and Information Science COS 301 - 2018 Genealogy of Common Languages UMaine School of Computing and Information Science COS 301 - 2018 Alternate View UMaine School of Computing and Information Science COS 301 - 2018 Zuse’s Plankalkül • Designed in 1945 • For computers based on electromechanical relays • Not published until 1972, implemented in 2000 [Rojas et al.] • Advanced data structures: – Two’s complement integers, floating point with hidden bit, arrays, records – Basic data type: arrays, tuples of arrays • Included algorithms for playing chess • Odd: 2D language • Functions, but no recursion • Loops (“while”) and guarded conditionals [Dijkstra, 1975] UMaine School of Computing and Information Science COS 301 - 2018 Plankalkül Syntax • 3 lines for a statement: – Operation – Subscripts – Types • An assignment -
CS406: Compilers Spring 2020
CS406: Compilers Spring 2020 Week1: Overview, Structure of a compiler 1 1 Intro to Compilers • Way to implement programming languages • Programming languages are notations for specifying computations to machines Program Compiler Target • Target can be an assembly code, executable, another source program etc. 2 2 What is a Compiler? Traditionally: Program that analyzes and translates from a high-level language (e.g. C++) to low-level assembly language that can be executed by the hardware var a var b int a, b; mov 3 a a = 3; mov 4 r1 if (a < 4) { cmpi a r1 b = 2; jge l_e } else { mov 2 b b = 3; jmp l_d } l_e:mov 3 b l_d:;done 3 slide courtesy: Milind Kulkarni 3 Compilers are translators •Fortran •C ▪Machine code •C++ ▪Virtual machine code •Java ▪Transformed source •Text processing translate code language ▪Augmented source •HTML/XML code •Command & ▪Low-level commands Scripting ▪Semantic components Languages ▪Another language •Natural Language •Domain Specific Language 4 slide courtesy: Milind Kulkarni 4 Compilers are optimizers • Can perform optimizations to make a program more efficient var a var b var a int a, b, c; var c var b b = a + 3; mov a r1 var c c = a + 3; addi 3 r1 mov a r1 mov r1 b addi 3 r1 mov a r2 mov r1 b addi 3 r2 mov r1 c mov r2 c 5 slide courtesy: Milind Kulkarni 5 Why do we need compilers? • Compilers provide portability • Old days: whenever a new machine was built, programs had to be rewritten to support new instruction sets • IBM System/360 (1964): Common Instruction Set Architecture (ISA) --- programs could be run -
John Backus (1924–2007) Inventor of Science’S Most Widespread Programming Language, Fortran
NEWS & VIEWS NATURE|Vol 446|26 April 2007 OBITUARY John Backus (1924–2007) Inventor of science’s most widespread programming language, Fortran. John Backus, who died on 17 March, was developed elsewhere around the same time, a pioneer in the early development of however, Speedcoding produced programs IBM/AP computer programming languages, and was that were uneconomically slow. subsequently a leading researcher in so- Backus proposed to his manager the called functional programming. He spent his development of a system he called the entire career with IBM. Formula Translator — later contracted to Backus was born on 3 December 1924 in Fortran — in autumn 1953 for the model Philadelphia, and was raised in Wilmington, 704 computer, which was soon to be Delaware. His father had been trained as a launched. The unique feature of Fortran was chemist, but changed careers to become a that it would produce programs that were partner in a brokerage house, and the family 90% as good as those written by a human became wealthy and socially prominent. As a programmer. Backus got the go-ahead, and child, Backus enjoyed mechanical tinkering was allocated a team of ten programmers and loved his chemistry set, but showed for six months. Designing a translator that little scholastic interest or aptitude. He was produced efficient programs turned out to be sent to The Hill School, an exclusive private a huge challenge, and, by the time the system high school in Pottstown, Pennsylvania. was launched in April 1957, six months had His academic performance was so poor that become three years. -
Object Orientation Through the Lens of Computer Science Education with Some New Implications from Other Subjects Like the Humanities
Technische Universität München Fakultät für Informatik Fachgebiet Didaktik der Informatik Object-Oriented Programming through the Lens of Computer Science Education Marc-Pascal Berges Vollständiger Abdruck der von der Fakultät für Informatik der Technischen Universität München zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr. Johann Schlichter Prüfer der Dissertation: 1. Univ.-Prof. Dr. Peter Hubwieser 2. Univ.-Prof. Dr. Torsten Brinda, Universität Duisburg-Essen Die Dissertation wurde am 07. April 2015 bei der Technischen Universität München eingereicht und durch die Fakultät für Informatik am 02. Juli 2015 angenommen. Abstract In recent years, the importance of the object-oriented paradigm has changed signifi- cantly. Initially it was mainly used in software engineering, but it is now being used more and more in education. This thesis applies methods of educational assessment and statistics to object-oriented programming and in doing so provides a broad overview of concepts, teaching methods, and the current state of research in this field of computer science. Recently, there have been various trends in introductory courses for object-oriented programming including objects-first and objects-later. Using current pedagogical concepts such as cognitive load theory, conceptual change, and self-directed learning in the context of this work, a teaching approach that dispenses almost entirely of instruction by teachers was developed. These minimally invasive programming courses (MIPC) were carried out in several passes in preliminary courses in the Department of Computer Science at the TU München. The students were confronted with a small programming task just before the first lecture. -
Programming Languages: Lecture 2
1 Programming Languages: Lecture 2 Chapter 2: Evolution of the Major Programming Languages Jinwoo Kim [email protected] 2 Chapter 2 Topics • History of Computers • Zuse’s Plankalkul • Minimal Hardware Programming: Pseudocodes • The IBM 704 and Fortran • Functional Programming: LISP • The First Step Toward Sophistication: ALGOL 60 • Computerizing Business Records: COBOL • The Beginnings of Timesharing: BASIC 3 Chapter 2 Topics (continued) • Everything for Everybody: PL/I • Two Early Dynamic Languages: APL and SNOBOL • The Beginnings of Data Abstraction: SIMULA 67 • Orthogonal Design: ALGOL 68 • Some Early Descendants of the ALGOLs • Programming Based on Logic: Prolog • History's Largest Design Effort: Ada 4 Chapter 2 Topics (continued) • Object-Oriented Programming: Smalltalk • Combining Imperative ad Object-Oriented Features: C++ • An Imperative-Based Object-Oriented Language: Java • Scripting Languages: JavaScript, PHP, Python, and Ruby • A C-Based Language for the New Millennium: C# • Markup/Programming Hybrid Languages 5 History of Computers • Who invented computers? – Contribution from many inventors – A computer is a complex piece of machinery made up of many parts, each of which can be considered a separate invention. • In 1936, Konrad Zuse made a mechanical calculator using three basic elements: a control, a memory, and a calculator for the arithmetic and called it Z1, the first binary computer – First freely programmable computer – Konrad Zuse wrote the first algorithmic programming language called 'Plankalkül' in 1946, which -
Evolution of the Major Programming Languages
Chapter 2 1. Plankalkül - 1945 - Never implemented - Advanced data structures - floating point, arrays, records - Invariants - Notation: A(7) := 5 * B(6) | 5 * B => A V | 6 7 (subscripts) S | 1.n 1.n (data types) 2. Pseudocodes - 1949 What was wrong with using machine code? a. Poor readability b. Poor modifiability c. Expression coding was tedious d. Machine deficiencies--no indexing or fl. pt. - Short code; 1949; BINAC; Mauchly - Expressions were coded, left to right - Some operations: 1n => (n+2)nd power 2n => (n+2)nd root 07 => addition Copyright © 1998 by Addison Wesley Longman, Inc.1 Chapter 2 2. Pseudocodes (continued) - Speedcoding; 1954; IBM 701, Backus - Pseudo ops for arithmetic and math functions - Conditional and unconditional branching - Autoincrement registers for array access - Slow! - Only 700 words left for user program 3. Laning and Zierler System - 1953 - Implemented on the MIT Whirlwind computer - First "algebraic" compiler system - Subscripted variables, function calls, expression translation - Never ported to any other machine 4. FORTRAN I - 1957 (FORTRAN 0 - 1954 - not implemented) - Designed for the new IBM 704, which had index registers and floating point hardware - Environment of development: 1. Computers were small and unreliable 2. Applications were scientific 3. No programming methodology or tools 4. Machine efficiency was most important Copyright © 1998 by Addison Wesley Longman, Inc.2 Chapter 2 4. FORTRAN I (continued) - Impact of environment on design 1. No need for dynamic storage 2. Need good array handling -
CSE452 Fall2004 (Cheng)
CSE452 Fall2004 (Cheng) Organization of Programming Languages (CSE452) Instructor: Dr. B. Cheng Fall 2004 Organization of Programming Languages-Cheng (Fall 2004) 1 Evolution of Programming Languages ? Purpose: to give perspective of: ? where we’ve been, ? where we are, and ? where we might be going. ? Take away the mystery behind programming languages ? Fun lecture. ? Acknowledgements: R. Sebesta Organization of Programming Languages-Cheng (Fall 2004) 2 Genealogy of Common Languages Organization of Programming Languages-Cheng (Fall 2004) 3 1 CSE452 Fall2004 (Cheng) History of Programming Languages http://www.webopedia.com/TERM/P/programming_language.html Organization of Programming Languages-Cheng (Fall 2004) 4 Zuse’s Plankalkül - 1945 ? Never implemented ? Advanced data structures ? floating point, arrays, records ? Invariants Organization of Programming Languages-Cheng (Fall 2004) 5 Evolution of software architecture ? 1950s - Large expensive mainframe computers ran single programs (Batch processing) ? 1960s - Interactive programming (time-sharing) on mainframes ? 1970s - Development of Minicomputers and first microcomputers. Apple II. Early work on windows, icons, and PCs at XEROX PARC ? 1980s - Personal computer - Microprocessor, IBM PC and Apple Macintosh. Use of windows, icons and mouse ? 1990s - Client-server computing - Networking, The Internet, the World Wide Web Organization of Programming Languages-Cheng (Fall 2004) 6 2 CSE452 Fall2004 (Cheng) Pseudocodes - 1949 ? What was wrong with using machine code? ? Poor readability ? -
Programming in America in the 1950S- Some Personal Impressions
A HISTORY OF COMPUTING IN THE TWENTIETH CENTURY Programming in America in the 1950s- Some Personal Impressions * JOHN BACKUS 1. Introduction The subject of software history is a complex one in which authoritative information is scarce. Furthermore, it is difficult for anyone who has been an active participant to give an unbiased assessment of his area of interest. Thus, one can find accounts of early software development that strive to ap- pear objective, and yet the importance and priority claims of the author's own work emerge rather favorably while rival efforts fare less well. Therefore, rather than do an injustice to much important work in an at- tempt to cover the whole field, I offer some definitely biased impressions and observations from my own experience in the 1950s. L 2. Programmers versus "Automatic Calculators" Programming in the early 1950s was really fun. Much of its pleasure re- sulted from the absurd difficulties that "automatic calculators" created for their would-be users and the challenge this presented. The programmer had to be a resourceful inventor to adapt his problem to the idiosyncrasies of the computer: He had to fit his program and data into a tiny store, and overcome bizarre difficulties in getting information in and out of it, all while using a limited and often peculiar set of instructions. He had to employ every trick 126 JOHN BACKUS he could think of to make a program run at a speed that would justify the large cost of running it. And he had to do all of this by his own ingenuity, for the only information he had was a problem and a machine manual. -
Scanned Document
UNIVERSIDADE FEDERAL DE SANTA CATARINA TECNOLOGIAS DA INFORMAÇÃO E COMUNICAÇÃO ELLEN LARISSA DE CARVALHO AQUINO DA PARTICIPAÇÃO AO ATIVISMO: AS TECNOLOGIAS DA INFORMAÇÃO E COMUNICAÇÃO ALIADAS AO FEMINISMO. Araranguá, Dezembro de 2015 ELLEN LARISSA DE CARVALHO AQUINO DA PARTICIPAÇÃO AO ATIVISMOS: AS TECNOLOGIAS DA INFORMAÇÃO E COMUNICAÇÃO ALIADAS AO FEMINISMO Trabalho de Curso submetido à Universidade Federal de Santa Catarina como parte dos requisitos necessários para a obtenção do Grau de Bacharel em Tecnologias Da Informação e Comunicação. Sob a orientação do Professor Giovani M. Lunardi. Araranguá, 2015 ERRATA Folha Linha Onde se lê Leia-se Ficha de identificação da obra elaborada pelo autor, através do Programa de Geração Automática da Biblioteca Universitária da UFSC. Aquino, Ellen Larissa de Carvalho Aquino DA PARTICIPAÇÃO AO ATIVISMO: AS TECNOLOGIAS DA INFORMAÇÃO E COMUNICAÇÃO ALIADAS AO FEMINISMO. / Ellen Larissa de Carvalho Aquino Aquino ; orientador, Giovani M. Lunardi Lunardi - Araranguá, SC, 2015. 112 p. Trabalho de Conclusão de Curso (graduação) - Universidade Federal de Santa Catarina, Campus Araranguá. Graduação em Tecnologias da Informação e Comunicação. Inclui referências 1. Tecnologias da Informação e Comunicação. 2. Ativismo. 3. Gênero. 4. Feminismo . 5. Tecnociência . I. Lunardi, Giovani M. Lunardi. II. Universidade Federal de Santa Catarina. Graduação em Tecnologias da Informação e Comunicação. III. Título. “Dedico este trabalho a todos que me incentivaram, em especial a minha família". AGRADECIMENTOS Agradeço primeiramente a Deus, pela sua graça e amor que são fundamentais pra mim. A minha mãe Edilene, por nunca ter medido esforços em proporcionar o melhor, por ser minha eterna professora, pela dedicação e amor que nunca faltaram. Ao meu pai José Augusto, por todo incentivo ao longo da minha vida, e por todo conhecimento que possuí, porque me fazem nunca querer encontrar limite na ciência. -
Trick Questions, Zen-Like Riddles, Insanely Difficult Puzzles, and Other
Begin Reading Table of Contents Newsletters Copyright Page In accordance with the U.S. Copyright Act of 1976, the scanning, uploading, and electronic sharing of any part of this book without the permission of the publisher constitute unlawful piracy and theft of the author’s intellectual property. If you would like to use material from the book (other than for review purposes), prior written permission must be obtained by contacting the publisher at [email protected]. Thank you for your support of the author’s rights. To the memory of Martin Gardner (1914–2010), whose influence on this book’s subject matter is considerable. A hundred prisoners are each locked in a room with three pirates, one of whom will walk the plank in the morning. Each prisoner has ten bottles of wine, one of which has been poisoned; and each pirate has twelve coins, one of which is counterfeit and weighs either more or less than a genuine coin. In the room is a single switch, which the prisoner may either leave as it is or flip. Before being led into the rooms, the prisoners are all made to wear either a red hat or a blue hat; they can see all the other prisoners’ hats but not their own. Meanwhile, a six-digit prime number of monkeys multiply until their digits reverse, then all have to get across a river using a canoe that can hold at most two monkeys at a time. But half the monkeys always lie and the other half always tell the truth. Given that the Nth prisoner knows that one of the monkeys doesn’t know that a pirate doesn’t know the product of two numbers between 1 and 100 without knowing that the N + 1th prisoner has flipped the switch in his room or not after having determined which bottle of wine was poisoned and what color his hat is, what is the solution to this puzzle? —Internet parody of a job interview question One Outnumbered at the Googleplex What It Takes to Get Hired at a Hyperselective Company Jim was sitting in the lobby of Google’s Building 44, Mountain View, California, surrounded by half a dozen others in various states of stupor.