IA010: Principles of Programming Languages
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Fortran Isolates the CSE Community
Fortran Isolates the CSE Community Roscoe A. Bartlett, Oak Ridge National Laboratory 10/08/2013 Introduction testing and test-driven development (TDD) by Fortran-only developers. While the research and The continued usage of Fortran as a dominant data supporting the effectiveness of unit testing and programming language isolates the computational TDD has been around for many years [10, 3, 12, 7], science & engineering (CSE) community and hinders the usage of these very successful approaches is very the learning and adoption of modern software low in the Fortran CSE development community. engineering methods. The issue is not primarily that This claim is backed up by personal experience, web Fortran is not suitable for developing many different posts, web searches, and observations by other types of software. Indeed, the are many examples of authors. One interesting data point is that a Google quality CSE software written in Fortran that can search of \Fortran Unit Test" (on 10/4/2013) brings legitimately be considered to be \self-sustaining up a limited number of relevant search results but software" (i.e. clean design and code, well tested, the top result is for the FRUIT Fortran Unit Test minimal controlled dependencies, etc., see [1]). framework [5] (written in Ruby). Right on the main The problem is that there are many CSE page for FRUIT is a quote from FRUIT's author development groups and communities that only Andrew Hang Chen which states: know Fortran and are therefore isolated from the broader software development community where Most of the FORTRAN are important Fortran usage is extremely low (ranked 24th in the in nature, used in nuclear and aerospace TIOBE Index from Nov. -
Python - the Most Attractive & Fastest-Growing Programming Language for Developers
Vol-6 Issue-5 2020 IJARIIE-ISSN(O)-2395-4396 Python - The Most Attractive & Fastest-growing Programming Language for Developers Vishwa Prakash (SRKUMTSE1804) M-Tech, Department of Software Engineering, R.K.D.F. Institute of Science & Technology, Bhopal, M.P., India ABSTRACT Python is a very suitable and easy language for both learning and real-world programming. It is a powerful and high-level object-oriented programming language and created by Guido van Rossum. It is a very good choice for those who are learning programming for the first time because of its simple syntax. It has various standard libraries so it using by a developer in vast range and its capacity to integrate with other languages and use their features attract developers too. In this paper, we describe the main characteristics and features of Python programming. We also discuss the reasons behind python being credited as the most fastest-growing high-level object orient language. We collected the contents of the research done over the articles procured from various magazines and popular websites. This paper then discusses applications of Python programming. To end with we will see a few good examples where python programming is being used. Keyword : - Python, programming languages, object-oriented, open-source, interoperability, Real-world. etc… 1. INTRODUCTION In the late 1980s, Python was conceived, while its implementation began in late 1989 by Guido van Rossum in the Netherlands atCWI (Centrum Wiskunde & Informatica). It was implemented as a successor of ABC language and capable of interfacing and exception handling with the operating system Amoeba. Author Van Rossum is Python's principal and his continuing central role in deciding the road to the development of Python. -
The First Programming Language and Freshman Year in Computer Science: Characterization and Tips for Better Decision Making
The first programming language and freshman year in computer science: characterization and tips for better decision making Sónia Rolland Sobral [0000-0002-5041-3597] 1 REMIT, Universidade Portucalense, Porto, Portugal [email protected] Abstract. The ability to program is the “visible” competency to acquire in an introductory unit in com- puter science. However, before a student is able to write a program, he needs to understand the problem: before formalizing, the student must have to (be able) to think, (be able) to solve and (be able) to define. At an early stage of learning there are no significant differences between programming languages. The discussion of the early programming language continues: probably never will be a consensus among academics. The Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE) computer science curriculum recommendations haven't clearly defined which programming language to adopt: it is the course directors and teachers who must make this choice, consciously and not only following the trends. This article presents a set of items that should be considered when you make a programming lan- guage choice for the first programming unit in higher education computer science courses. Keywords: Programming Languages, Undergraduate Studies; Introduction to Programming. 1 Introduction Programmability is the “visible” skill to be acquired in an introductory unit in computer science. Program- ming can be considered an art [1], a science [2], a discipline [3] or even the science of abstraction [4]. However, using a programming language is no more than a method for the programmer can communicate instructions to the computer. -
Latest Results from the Procedure Calling Test, Ackermann's Function
Latest results from the procedure calling test, Ackermann’s function B A WICHMANN National Physical Laboratory, Teddington, Middlesex Division of Information Technology and Computing March 1982 Abstract Ackermann’s function has been used to measure the procedure calling over- head in languages which support recursion. Two papers have been written on this which are reproduced1 in this report. Results from further measurements are in- cluded in this report together with comments on the data obtained and codings of the test in Ada and Basic. 1 INTRODUCTION In spite of the two publications on the use of Ackermann’s Function [1, 2] as a mea- sure of the procedure-calling efficiency of programming languages, there is still some interest in the topic. It is an easy test to perform and the large number of results ob- tained means that an implementation can be compared with many other systems. The purpose of this report is to provide a listing of all the results obtained to date and to show their relationship. Few modern languages do not provide recursion and hence the test is appropriate for measuring the overheads of procedure calls in most cases. Ackermann’s function is a small recursive function listed on page 2 of [1] in Al- gol 60. Although of no particular interest in itself, the function does perform other operations common to much systems programming (testing for zero, incrementing and decrementing integers). The function has two parameters M and N, the test being for (3, N) with N in the range 1 to 6. Like all tests, the interpretation of the results is not without difficulty. -
The Power of Interoperability: Why Objects Are Inevitable
The Power of Interoperability: Why Objects Are Inevitable Jonathan Aldrich Carnegie Mellon University Pittsburgh, PA, USA [email protected] Abstract 1. Introduction Three years ago in this venue, Cook argued that in Object-oriented programming has been highly suc- their essence, objects are what Reynolds called proce- cessful in practice, and has arguably become the dom- dural data structures. His observation raises a natural inant programming paradigm for writing applications question: if procedural data structures are the essence software in industry. This success can be documented of objects, has this contributed to the empirical success in many ways. For example, of the top ten program- of objects, and if so, how? ming languages at the LangPop.com index, six are pri- This essay attempts to answer that question. After marily object-oriented, and an additional two (PHP reviewing Cook’s definition, I propose the term ser- and Perl) have object-oriented features.1 The equiva- vice abstractions to capture the essential nature of ob- lent numbers for the top ten languages in the TIOBE in- jects. This terminology emphasizes, following Kay, that dex are six and three.2 SourceForge’s most popular lan- objects are not primarily about representing and ma- guages are Java and C++;3 GitHub’s are JavaScript and nipulating data, but are more about providing ser- Ruby.4 Furthermore, objects’ influence is not limited vices in support of higher-level goals. Using examples to object-oriented languages; Cook [8] argues that Mi- taken from object-oriented frameworks, I illustrate the crosoft’s Component Object Model (COM), which has unique design leverage that service abstractions pro- a C language interface, is “one of the most pure object- vide: the ability to define abstractions that can be ex- oriented programming models yet defined.” Academ- tended, and whose extensions are interoperable in a ically, object-oriented programming is a primary focus first-class way. -
Comparing Languages for Engineering Server Software: Erlang, Go, and Scala with Akka
Comparing Languages for Engineering Server Software: Erlang, Go, and Scala with Akka Ivan Valkov, Natalia Chechina, and Phil Trinder School of Computing Science, University of Glasgow G12 8RZ, United Kingdom [email protected], {Natalia.Chechina, Phil.Trinder}@glasgow.ac.uk Abstract functional or object-oriented, with high-level coordination models, Servers are a key element of current IT infrastructures, and must e.g. actors as in Erlang [2] or a process algebra as in Go [6]. Indeed, often deal with large numbers of concurrent requests. The program- the success of some server-based companies is even attributed to ming language used to construct the server has an important role their use of specific languages. As examples WhatsApp’s success in engineering efficient server software, and must support massive is attributed to their use of Erlang [27]; the video streaming leader concurrency on multicore machines with low communication and Twitch uses Go to serve millions of users a day [13]. Research synchronisation overheads. contributions of this paper include the following: This paper investigates 12 highly concurrent programming lan- • A survey of programming language characteristics relevant for guages suitable for engineering servers, and analyses three repre- servers (Section 2.1). sentative languages in detail: Erlang, Go, and Scala with Akka. • The design and implementation of three benchmarks to analyse We have designed three server benchmarks that analyse key per- the multicore server capabilities of Erlang, Go, and Scala with formance characteristics of the languages. The benchmark results Akka (Section 3). suggest that where minimising message latency is crucial, Go and Erlang are best; that Scala with Akka is capable of supporting the • An evaluation of Erlang, Go, and Scala with Akka for key largest number of dormant processes; that for servers that frequently server capabilities, i.e. -
Programming Languages: a Survey
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 5 307 – 313 _______________________________________________________________________________________________ Programming Languages: A Survey Krishan Kumar1, Sonal Dahiya2 Assistant professor, ASET, Amity University Haryana, Gurgaon, Haryana, India1,2 [email protected], [email protected] Abstract— The world of Programming Languages is very dynamic. Every company is launching their own programming language which can cater their specific demand and requirement. In this paper, we discussed various popular rankings proposed by different organizations to decide most popular language on basis of various factors like number of Google Trends searches, number of job advertisements, and number of books sold for that language and many more factors. Keywords— Java Programming, Python, Ruby, C. __________________________________________________*****_________________________________________________ I. INTRODUCTION It is difficult to decide which programming languages are most widely used. One language may occupy the greater number of programmer hours, a different one have more lines of code, a third may utilize the most CPU time, and so on. Some languages are very popular for particular kind of applications. For example, COBOL is still strong in the corporate data center, often on large mainframes; FORTRAN in engineering applications; C in embedded applications and operating systems; and other languages are regularly used to write much different kind of applications. Various methods of measuring language popularity has been used, i.e; A. Counting the number of times the language name is mentioned in web searches, such as is done by Google Trends. B. counting the number of job advertisements that mention the language [1][2] C. -
Cs 98 Algol W Implementat Ion by H. Bauer S. Becker S
CS 98 ALGOL W IMPLEMENTAT ION BY H. BAUER S. BECKER S. GRAHAM TECHNICAL REPORT NO. CS 98 MAY 20, 1968 COMPUTER SC IENCE DEPARTMENT School of Humanities and Sciences STANFORD UNIVERS llTY ALGOL W IMPLEMENTATION* -- H, Bauer S. Becker S. Graham * This research is supported in part by the National Science Foundation under grants GP-4053 and ~~-6844. -ALGOL -W IMPLEMENTATION Table -.of Contents ,, 1, Introduction . ..~.........*0.~.**.e.....*.....".....* XI. General Organization . ..os.*..e.~*....~****.*..*.. 3 lX1. Overall Design . ..*.0~....~..~e~eo~o.e...e.....*~~.... 4 A. Principal Design Considerations . ..*......** 4 B. Run-Time Program and Data Segmentation ., ,,,... 6 C. Pass One . ..~D..O......~e~~.*~.*~.....~.. 7 D. Pass Two . ..*..eOC~O.4....*~~..~...~..~~....~ 8 1. Description of Principles and -=. Main Tasks .*0*.*.......0~,00*..*..* 8 2. Parsing Algorithm . ...*......**.* 8 3* Error Recovery .0....~..~.~.~.,~,~~~, 9 4. Register Analysis . ..*.......*.... 11 L- 5* Tables *.....@.,..*......e..*.*.y...* 13 6. Output ,.......*..*0..00..0*~~..~... 13 E. Pass Three . ..0......*....e...e..e.e........*, 16 L l-v. Compiler Details . ..~..~~~...~~~~.~~.....~..~... 17 A. Run-Time Organization ..~*0**~..*~...~...*~..., 17 1. Program and Data Segmentation ,,.,., 17 2. Addressing Conventions . ..*.9..*..** 20 30 Block Marks and Procedure Marks ,.., 20 4. Array Indexing Conventions . ..I.# 22 5. Base Address Table and Lirikage to System Routines . ..****..o....*.. 23 6. Special Constants and Error Codes ,. 24 Register Usage ..OI.OI.O,,..O..L,..~ 27 ;3** Record Allocation and Storage Reclamation .0.0.~.~*0*~0..~~~.**, 27 B. Pass We r....oc.o....o....o..~.*..~*.,.,.....* 33 1. Table Formats Internal to Pass One . ..0...*ee..o...Q....*.~.* 3c 2. The Output String Representing an ALGOL W Program l . -
50 Years of Pascal Niklaus Wirth the Programming Language Pascal Has Won World-Wide Recognition
50 Years of Pascal Niklaus Wirth The programming language Pascal has won world-wide recognition. In celebration of its 50th birthday I shall remark briefly today about its origin, spread, and further development. Background In the early 1960's, the languages Fortran (John Backus, IBM) for scientific, and Cobol (Jean Sammet, IBM and DoD) for commercial applications dominated. Programs were written on paper, then punched on cards, and one waited for a day for the results. Programming languages were recognized as essential aids and accelerators of the hard process of programming. In 1960, an international committee published the language Algol 60. It was the first time that a language was defined by concisely formulated constructs and by a precise, formal syntax. Already two years later it was recognized that a few corrections and improvements were needed. Mainly, however, the range of applications should be widened, because Algol 60 was intended for scientific calculations (numerical mathematics) only. Under the auspices of IFIP a Working Group (WG 2.1) was established to tackle this project. The group consisted of about 40 members with almost the same number of opinions and views about what a successor of Algol should look like. There ensued many discussions, and on occasions the debates ended even violently. Early in 1964 I became a member, and soon was requested to prepare a concrete proposal. Two factions had developed in the committee. One of them aimed at a second, after Algol 60, milestone, a language with radically new, untested concepts and pervasive flexibility. The other faction remained more modest and focused on realistic improvements of known concepts. -
Programming Language Trends in Open Source Development: an Evaluation Using Data from All Production Phase Sourceforge Projects
Programming Language Trends in Open Source Development: An Evaluation Using Data from All Production Phase SourceForge Projects Daniel P. Delorey Charles D. Knutson C. Giraud-Carrier Brigham Young University Brigham Young University Brigham Young University TMCB 2230 TMCB 2214 TMCB 3326 Provo, UT 84602 Provo, UT 84602 Provo, UT 84602 [email protected] [email protected] [email protected] ABSTRACT for natural language like those studied by Sapir, but for pro- In this work, we analyze data collected from the CVS repos- gramming languages as well. itories of 9,997 Open Source projects hosted on SourceForge in an effort to understand trends in programming language A tendency to hesitate in adopting new programming lan- usage in the Open Source community between 2000 and guages, however, may stifle creativity as the limited features 2005. The trends we consider include: 1) the relative popu- of an out-dated language prevent developers from conceiv- larity of the ten most popular programming languages over ing of novel solutions. To quote a well-worn cliche,“When all time, 2) the use of multiple programming languages by indi- you have is a hammer, everything looks like a nail.” Nielson vidual programmers and by individual projects, and 3) the [5] has demonstrated that developers hesitate to use multi- programming languages most often used in combination. paradigm features even after migrating to a new language opting instead to program as if they were using their old Categories and Subject Descriptors language. D.2.8 [Software Engineering]: Metrics—Performance Mea- sures, Process Metrics, Product Metrics In this paper, we use data gathered from the CVS reposito- ries of Open Source projects hosted on SourceForge to eval- Keywords uate trends in programming language usage among Open Source developers. -
5. the Implementation of Algol W
5. THE IMPLEMENTATION OF ALGOL W The two preceding chapters outline the data and control structures which appear with minor variations in most implementations of Algol-like languages, and they suggest how mechanisms for providing debugging facilities can be superimposed upon such structures. By emphasizing the generality of certain ideas, however, those chapters obscure the many crucial and often nontrivial problems of detail which must be solved for a particular language and implementation. This and subsequent chapters describe the internal structure of an implemented debugging system, which is based upon the Algol W language and the IBM System/360, IBM System/370, or ICL System 4 hardware. Various design problems are pinpointed and their solutions are described. Some of these are of general interest; others are specific to Algol W or the System/360 and are mentioned primarily to suggest the kinds of difficulties other designers should anticipate. This chapter sketches the underlying implementation of Algol W. It illustrates the application of some of the ideas in Chapter 3 and provides information necessary for understanding subsequent chapters. It also attempts to demonstrate that many features of the Algol W language and System/360 hardware naturally lead to design decisions which, as subsequent chapters show, simplify the implementation of useful debugging aids. The treatment of detail is intentionally selective; very cursory attention is given to those features of the compiler and object code which either are quite standard or are unrelated to the provision of debugging tools. A more thorough, although rather obsolete, description of the compiler is available elsewhere [Bauer 68]. -
An Interview with Tony Hoare ACM 1980 A.M. Turing Award Recipient
1 An Interview with 2 Tony Hoare 3 ACM 1980 A.M. Turing Award Recipient 4 (Interviewer: Cliff Jones, Newcastle University) 5 At Tony’s home in Cambridge 6 November 24, 2015 7 8 9 10 CJ = Cliff Jones (Interviewer) 11 12 TH = Tony Hoare, 1980 A.M. Turing Award Recipient 13 14 CJ: This is a video interview of Tony Hoare for the ACM Turing Award Winners project. 15 Tony received the award in 1980. My name is Cliff Jones and my aim is to suggest 16 an order that might help the audience understand Tony’s long, varied, and influential 17 career. The date today is November 24th, 2015, and we’re sitting in Tony and Jill’s 18 house in Cambridge, UK. 19 20 Tony, I wonder if we could just start by clarifying your name. Initials ‘C. A. R.’, but 21 always ‘Tony’. 22 23 TH: My original name with which I was baptised was Charles Antony Richard Hoare. 24 And originally my parents called me ‘Charles Antony’, but they abbreviated that 25 quite quickly to ‘Antony’. My family always called me ‘Antony’, but when I went to 26 school, I think I moved informally to ‘Tony’. And I didn’t move officially to ‘Tony’ 27 until I retired and I thought ‘Sir Tony’ would sound better than ‘Sir Antony’. 28 29 CJ: Right. If you agree, I’d like to structure the discussion around the year 1980 when 30 you got the Turing Award. I think it would be useful for the audience to understand 31 just how much you’ve done since that award.