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The Machine That Builds Itself: How the Strengths of Lisp Family
Khomtchouk et al. OPINION NOTE The Machine that Builds Itself: How the Strengths of Lisp Family Languages Facilitate Building Complex and Flexible Bioinformatic Models Bohdan B. Khomtchouk1*, Edmund Weitz2 and Claes Wahlestedt1 *Correspondence: [email protected] Abstract 1Center for Therapeutic Innovation and Department of We address the need for expanding the presence of the Lisp family of Psychiatry and Behavioral programming languages in bioinformatics and computational biology research. Sciences, University of Miami Languages of this family, like Common Lisp, Scheme, or Clojure, facilitate the Miller School of Medicine, 1120 NW 14th ST, Miami, FL, USA creation of powerful and flexible software models that are required for complex 33136 and rapidly evolving domains like biology. We will point out several important key Full list of author information is features that distinguish languages of the Lisp family from other programming available at the end of the article languages and we will explain how these features can aid researchers in becoming more productive and creating better code. We will also show how these features make these languages ideal tools for artificial intelligence and machine learning applications. We will specifically stress the advantages of domain-specific languages (DSL): languages which are specialized to a particular area and thus not only facilitate easier research problem formulation, but also aid in the establishment of standards and best programming practices as applied to the specific research field at hand. DSLs are particularly easy to build in Common Lisp, the most comprehensive Lisp dialect, which is commonly referred to as the “programmable programming language.” We are convinced that Lisp grants programmers unprecedented power to build increasingly sophisticated artificial intelligence systems that may ultimately transform machine learning and AI research in bioinformatics and computational biology. -
From JSON to JSEN Through Virtual Languages of the Creative Commons Attribution License (
© 2021 by the authors; licensee RonPub, Lübeck, Germany. This article is an open access article distributed under the terms and conditions A.of Ceravola, the Creative F. Joublin:Commons From Attribution JSON to license JSEN through(http://c reativecommons.org/licenses/by/4Virtual Languages .0/). Open Access Open Journal of Web Technology (OJWT) Volume 8, Issue 1, 2021 www.ronpub.com/ojwt ISSN 2199-188X From JSON to JSEN through Virtual Languages Antonello Ceravola, Frank Joublin Honda Research Institute Europe GmbH, Carl Legien Str. 30, Offenbach/Main, Germany, {Antonello.Ceravola, Frank.Joublin}@honda-ri.de ABSTRACT In this paper we describe a data format suitable for storing and manipulating executable language statements that can be used for exchanging/storing programs, executing them concurrently and extending homoiconicity of the hosting language. We call it JSEN, JavaScript Executable Notation, which represents the counterpart of JSON, JavaScript Object Notation. JSON and JSEN complement each other. The former is a data format for storing and representing objects and data, while the latter has been created for exchanging/storing/executing and manipulating statements of programs. The two formats, JSON and JSEN, share some common properties, reviewed in this paper with a more extensive analysis on what the JSEN data format can provide. JSEN extends homoiconicity of the hosting language (in our case JavaScript), giving the possibility to manipulate programs in a finer grain manner than what is currently possible. This property makes definition of virtual languages (or DSL) simple and straightforward. Moreover, JSEN provides a base for implementing a type of concurrent multitasking for a single-threaded language like JavaScript. -
The Semantics of Syntax Applying Denotational Semantics to Hygienic Macro Systems
The Semantics of Syntax Applying Denotational Semantics to Hygienic Macro Systems Neelakantan R. Krishnaswami University of Birmingham <[email protected]> 1. Introduction body of a macro definition do not interfere with names oc- Typically, when semanticists hear the words “Scheme” or curring in the macro’s arguments. Consider this definition of and “Lisp”, what comes to mind is “untyped lambda calculus a short-circuiting operator: plus higher-order state and first-class control”. Given our (define-syntax and typical concerns, this seems to be the essence of Scheme: it (syntax-rules () is a dynamically typed applied lambda calculus that sup- ((and e1 e2) (let ((tmp e1)) ports mutable data and exposes first-class continuations to (if tmp the programmer. These features expose a complete com- e2 putational substrate to programmers so elegant that it can tmp))))) even be characterized mathematically; every monadically- representable effect can be implemented with state and first- In this definition, even if the variable tmp occurs freely class control [4]. in e2, it will not be in the scope of the variable definition However, these days even mundane languages like Java in the body of the and macro. As a result, it is important to support higher-order functions and state. So from the point interpret the body of the macro not merely as a piece of raw of view of a working programmer, the most distinctive fea- syntax, but as an alpha-equivalence class. ture of Scheme is something quite different – its support for 2.2 Open Recursion macros. The intuitive explanation is that a macro is a way of defining rewrites on abstract syntax trees. -
Towards Software Development
WDS'05 Proceedings of Contributed Papers, Part I, 36–40, 2005. ISBN 80-86732-59-2 © MATFYZPRESS Towards Software Development P. Panuška Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic. Abstract. New approaches to software development have evolved recently. Among these belong not only development tools like IDEs, debuggers and Visual modelling tools but also new, modern1 styles of programming including Language Oriented Programming, Aspect Oriented Programming, Generative Programming, Generic Programming, Intentional Programming and others. This paper brings an overview of several methods that may help in software development. Introduction An amazing progress in software algorithms, hardware, GUI and group of problems we can solve has been made within last 40 years. Unfortunately, the same we cannot say about the way the software is actually made. The source code of programs has not changed and editors we use to edit, create and maintain computer programs still work with the source code mainly as with a piece of text. This is not the only relic remaining in current software development procedures. Software development is one of human tasks where most of the job must be done by people. Human resources belong to the most expensive, most limiting and most unreliable ones. People tend to make more mistakes than any kind of automatic machines. They must be trained, may strike, may get ill, need holidays, lunch breaks, baby breaks, etc. Universities can not produce an unlimited number of software engineers. Even if the number of technical colleges were doubled, it would not lead in double amount of high-quality programmers. -
Star TEX: the Next Generation Several Ideas on How to Modernize TEX Already Exist
TUGboat, Volume 33 (2012), No. 2 199 Star TEX: The Next Generation Several ideas on how to modernize TEX already exist. Some of them have actually been implemented. Didier Verna In this paper, we present ours. The possible future Abstract that we would like to see happening for TEX is some- what different from the current direction(s) TEX's While T X is unanimously praised for its typesetting E evolution has been following. In our view, modern- capabilities, it is also regularly blamed for its poor izing TEX can start with grounding it in an old yet programmatic offerings. A macro-expansion system very modern programming language: Common Lisp. is indeed far from the best choice in terms of general- Section 2 clarifies what our notion of a \better", or purpose programming. Several solutions have been \more modern" TEX is. Section 3 on the next page proposed to modernize T X on the programming E presents several approaches sharing a similar goal. side. All of them currently involve a heterogeneous Section 4 on the following page justifies the choice approach in which T X is mixed with a full-blown pro- E of Common Lisp. Finally, section 5 on page 205 gramming language. This paper advocates another, outlines the projected final shape of the project. homogeneous approach in which TEX is first rewrit- ten in a modern language, Common Lisp, which 2 A better TEX serves both at the core of the program and at the The T X community has this particularity of being scripting level. All programmatic macros of T X are E E a mix of two populations: people coming from the hence rendered obsolete, as the underlying language world of typography, who love it for its beautiful itself can be used for user-level programming. -
Bibliography on Transformation Systems (PDF Format)
Transformation Technology Bibliography, 1998 Ira Baxter Semantic Designs 12636 Research Blvd, Suite C214 Austin, Texas 78759 [email protected] The fundamental ideas for transformation systems are: domains where/when does one define a notation for a problem area; semantics how the meaning of a notation is defined; implementation what it means for one spec fragment to “implement” another; and control how to choose among possible implementations. The following references describe various ways of implementing one or more of the above ideas. Unfortunately, there aren't any easy, obviously good articles or books on the topic, and there is a lot of exotic technology. I recommend: the Agresti book (a number of short papers) for overview, the Feather survey paper for conciseness and broadness. These are the minimum required reading to get a sense of the field. The Partsch book is excellent for a view of transformational development using wide spectrum languages, but fails to address domains and control. The Turski book is very good for some key theory, but you have to be determined to wade through it. Bibliography [AGRESTI86] What are the New Paradigms?, William W. Agresti, New Paradigms for Software Development, William W. Agresti, IEEE Press, 1986, ISBN 0-8186-0707-6. [ALLEMANG90] Understandings Programs as Devices, Dean T. Allemang, Ph.D. Thesis, Computer Science Department, Ohio State University, Columbus, Ohio, 1990. [ALLEN90] Readings in Planning, James Allen, James Hendler and Austin Tate, Morgan Kaufmann, San Mateo, California,1990, ISBN 1-55860-130-9. [ASTESIANO87] An Introduction to ASL, Egidio Astesiano and Martin Wirsing, pp. 343-365, Program Specification and Transformation, L. -
Components and Generative Programming
Components and Generative Programming Krzysztof Czarnecki1 and Ulrich W. Eisenecker2 1DaimlerChrysler AG Research and Technology, Ulm, Germany [email protected] 2University of Applied Sciences Heidelberg, Germany [email protected] Abstract. This paper is about a paradigm shift from the current practice of manually searching for and adapting components and their manual assembly to Generative Programming, which is the automatic selection and assembly of components on demand. First, we argue that the current OO technology does not support reuse and configurability in an effective way. Then we show how a system family approach can aid in defining reusable components. Finally, we describe how to automate the assembly of components based on configuration knowledge. We compare this paradigm shift to the introduction of interchangeable parts and automated assembly lines in the automobile industry. We also illustrate the steps necessary to develop a product line using a simple example of a car product line. We present the feature model of the product line, develop a layered architecture for it, and automate the assembly of the components using a generator. We also discuss some design issues, applicability of the approach, and future development. 1 From Handcrafting to an Automated Assembly Line This paper is about a paradigm shift from the current practice of manually searching for and adapting components and their manual assembly to Generative Programming, which is the automatic selection and assembly of components on demand. This paradigm shift takes two steps. First, we need to move our focus from engineering single systems to engineering families of systems—this will allow us to come up with the “right” implementation components. -
Functional Programming Patterns in Scala and Clojure Write Lean Programs for the JVM
Early Praise for Functional Programming Patterns This book is an absolute gem and should be required reading for anybody looking to transition from OO to FP. It is an extremely well-built safety rope for those crossing the bridge between two very different worlds. Consider this mandatory reading. ➤ Colin Yates, technical team leader at QFI Consulting, LLP This book sticks to the meat and potatoes of what functional programming can do for the object-oriented JVM programmer. The functional patterns are sectioned in the back of the book separate from the functional replacements of the object-oriented patterns, making the book handy reference material. As a Scala programmer, I even picked up some new tricks along the read. ➤ Justin James, developer with Full Stack Apps This book is good for those who have dabbled a bit in Clojure or Scala but are not really comfortable with it; the ideal audience is seasoned OO programmers looking to adopt a functional style, as it gives those programmers a guide for transitioning away from the patterns they are comfortable with. ➤ Rod Hilton, Java developer and PhD candidate at the University of Colorado Functional Programming Patterns in Scala and Clojure Write Lean Programs for the JVM Michael Bevilacqua-Linn The Pragmatic Bookshelf Dallas, Texas • Raleigh, North Carolina Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and The Pragmatic Programmers, LLC was aware of a trademark claim, the designations have been printed in initial capital letters or in all capitals. -
Lisp, Jazz, Aikido Three Expressions of a Single Essence
Lisp, Jazz, Aikido Three Expressions of a Single Essence Didier Vernaa a EPITA Research and Development Laboratory Abstract The relation between Science (what we can explain) and Art (what we can’t) has long been acknowledged and while every science contains an artistic part, every art form also needs a bit of science. Among all scientific disciplines, programming holds a special place for two reasons. First, the artistic part is not only undeniable but also essential. Second, and much like in a purely artistic discipline, the act of programming is driven partly by the notion of aesthetics: the pleasure we have in creating beautiful things. Even though the importance of aesthetics in the act of programming is now unquestioned, more could still be written on the subject. The field called “psychology of programming” focuses on the cognitive aspects ofthe activity, with the goal of improving the productivity of programmers. While many scientists have emphasized their concern for aesthetics and the impact it has on their activity, few computer scientists have actually written about their thought process while programming. What makes us like or dislike such and such language or paradigm? Why do we shape our programs the way we do? By answering these questions from the angle of aesthetics, we may be able to shed some new light on the art of programming. Starting from the assumption that aesthetics is an inherently transversal dimension, it should be possible for every programmer to find the same aesthetic driving force in every creative activity they undertake, not just programming, and in doing so, get deeper insight on why and how they do things the way they do. -
Lisp, Jazz, Aikido – Three Expressions of a Single Essence Didier Verna
Lisp, Jazz, Aikido – Three Expressions of a Single Essence Didier Verna To cite this version: Didier Verna. Lisp, Jazz, Aikido – Three Expressions of a Single Essence. The Art, Science, and Engineering of Programming, aosa, Inc., 2018, 2 (3), 10.22152/programming-journal.org/2018/2/10. hal-01813470 HAL Id: hal-01813470 https://hal.archives-ouvertes.fr/hal-01813470 Submitted on 12 Jun 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Lisp, Jazz, Aikido Three Expressions of a Single Essence Didier Vernaa a EPITA Research and Development Laboratory Abstract The relation between Science (what we can explain) and Art (what we can’t) has long been acknowledged and while every science contains an artistic part, every art form also needs a bit of science. Among all scientific disciplines, programming holds a special place for two reasons. First, the artistic part is not only undeniable but also essential. Second, and much like in a purely artistic discipline, the act of programming is driven partly by the notion of aesthetics: the pleasure we have in creating beautiful things. Even though the importance of aesthetics in the act of programming is now unquestioned, more could still be written on the subject. -
SMC2011 Template
From Live Coding to Virtual Being Nikolai Suslov Tatiana Soshenina Fund for Supporting Moscow Institute of Architecture Development of Russian Technology State Academy! Vologda, Russia Moscow, Russia [email protected] [email protected] ABSTRACT "e self#explorative, colla%orative environments and virtual worlds are se&ing up the new standards in so'ware engineering for today( In this, live coding is also re)uired in reviewing as for programmers and as for artists too( "e most popular live coding frameworks, even %eing %uilt %y using highly dynamic, re+ective languages, still suffer on tight %indings to single#node or client#server architecture, language or platform dependence and third#party tools. "at leads to ina%ility nor to develop nor scale to the Internet of things the new created works using live coding. In the paper we introduce the prototype of integration of o%ject#oriented language for pa&ern matching .Meta onto Virtual /orld Framework on 0avaScript( "at integration will allow using the live coding in virtual worlds with user-de1ned languages. Also we explore the possi%ilities of a conformal scaling of live coding in the case of augmented reality systems and Internet of things. In summary, the paper descri%es the efforts %eing done for involving virtual worlds architecture in live coding process. All prototypes that are descri%ed in the paper are availa%le for experimenting with on 2restianstvo SD2 open source project3 h&p344www(*restianstvo(org 1. FROM CO !R TOOLS TO S!LF E"#LORAT$VE% COLLABORAT$VE ENVIRONMENTS Fundamentally, live coding is a%out highly dynamic programming languages, re+ectivity, homoiconicity and Meta properties. -
Functional Programming in Lisp
Functional Programming in Lisp Dr. Neil T. Dantam CSCI-561, Colorado School of Mines Fall 2020 Dantam (Mines CSCI-561) Functional Programming in Lisp Fall 2020 1 / 50 Alan Perlis on Programming Languages https://doi.org/10.1145%2F947955.1083808 “A language that doesn’t affect the way you think about programming is not worth knowing.” Alan J. Perlis (1922-1990) First Turing Award Recipient, 1966 Dantam (Mines CSCI-561) Functional Programming in Lisp Fall 2020 2 / 50 Eric Raymond and Paul Graham on Lisp Lisp is worth learning for a different reason— By induction, the only programmers in a position to see the profound enlightenment experience you will have all the differences in power between the various languages when you finally get it. That experience will make are those who understand the most powerful one. you a better programmer for the rest of your days, (This is probably what Eric Raymond meant about even if you never actually use Lisp itself a lot. Lisp making you a better programmer.) –Eric Raymond –Paul Graham http://www.catb.org/esr/faqs/hacker-howto.html http://www.paulgraham.com/avg.html Dantam (Mines CSCI-561) Functional Programming in Lisp Fall 2020 3 / 50 Peter Siebel on Lisp, “Blub,” and “Omega” https://youtu.be/4NO83wZVT0A?t=18m26s Dantam (Mines CSCI-561) Functional Programming in Lisp Fall 2020 4 / 50 Introduction Functional Programming Features Outcomes I Persistence: variables and data structures are I Review/understand concepts of immutable (constant) functional programming I Recursion: construct algorithms as recursive I Implement Lisp programs in functions (vs.