Dr. Geo Smalltalk Script
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Introduction to Smalltalk - References Ó Ivan Tomek 9/18/00 References Books Kent Beck: Smalltalk: Best Practice Patterns, Prentice-Hall, 1997. Timothy Budd: A Little Smalltalk, Addison-Wesley, 1987. Erich Gamma, Richard Helm, Ralph Johnson, John Vlassides: Design Patterns: Elements of Reusable Object-Oriented Software, Addison-Wesley, 1995. Adele Goldberg: Smalltalk-80: The Interactive Programming Environment, Addison-Wesley, 1983. Adele Goldberg, David Robson: Smalltalk-80: The Language and its Implementation, Addison-Wesley, 1985. Adele Goldberg, David Robson: Smalltalk-80, The Language, Addison-Wesley, 1989. Trevor Hopkins, Bernard Horan: Smalltalk: An Introduction to Application Development Using VisualWorks, Prentice-Hall, 1995. Tim Howard: The Smalltalk Developer’s Guide to Visual Works, SIGS Books, 1995. Ted Kaehler, Dave Patterson: A Taste of Smalltalk, Norton, 1986. Wilf Lalonde: Discovering Smalltalk, Addison-Wesley, 1994. Wilf Lalonde, John R. Pugh: Inside Smalltalk, Volume I, II, Prentice-Hall, 1991. Wilf Lalonde, John R. Pugh: Smalltalk/V, Practice and Experience, Prentice-Hall, 1994. Simon Lewis: The Art and Science of Smalltalk, Prentice-Hall, 1995. Chamond Liu: Smalltalk, Objects, and Design, Prentice-Hall, 1996. Mark Lorenz: Rapid Software Development with Smalltalk, SIGS Books, 1995. Lewis J. Pinson: An Introduction to Object-Oriented Programming and Smalltalk, Addison-Wesley, 1988. Jonathan Pletzke: Advanced Smalltalk, Wiley, 1997. Wolfgang Pree: Design Patterns for Object-Oriented Software Development, Addison-Wesley, 1994. Timothy Ryan: Distributed Object Technology, Concepts and Applications, Prentice-Hall, 1996. Dusko Savic: Object-Oriented Programming with Smalltalk, Prentice-Hall, 1990. Susan Skublics, Edward J. Klimas, David A. Thomas: Smalltalk with Style, Prentice-Hall, 1996. Dan Shafer, Dean A. Ritz: Practical Smalltalk, Springer-Verlag, 1991. -
Higher-Order Functions 15-150: Principles of Functional Programming – Lecture 13
Higher-order Functions 15-150: Principles of Functional Programming { Lecture 13 Giselle Reis By now you might feel like you have a pretty good idea of what is going on in functional program- ming, but in reality we have used only a fragment of the language. In this lecture we see what more we can do and what gives the name functional to this paradigm. Let's take a step back and look at ML's typing system: we have basic types (such as int, string, etc.), tuples of types (t*t' ) and functions of a type to a type (t ->t' ). In a grammar style (where α is a basic type): τ ::= α j τ ∗ τ j τ ! τ What types allowed by this grammar have we not used so far? Well, we could, for instance, have a function below a tuple. Or even a function within a function, couldn't we? The following are completely valid types: int*(int -> int) int ->(int -> int) (int -> int) -> int The first one is a pair in which the first element is an integer and the second one is a function from integers to integers. The second one is a function from integers to functions (which have type int -> int). The third type is a function from functions to integers. The two last types are examples of higher-order functions1, i.e., a function which: • receives a function as a parameter; or • returns a function. Functions can be used like any other value. They are first-class citizens. Maybe this seems strange at first, but I am sure you have used higher-order functions before without noticing it. -
Typescript Language Specification
TypeScript Language Specification Version 1.8 January, 2016 Microsoft is making this Specification available under the Open Web Foundation Final Specification Agreement Version 1.0 ("OWF 1.0") as of October 1, 2012. The OWF 1.0 is available at http://www.openwebfoundation.org/legal/the-owf-1-0-agreements/owfa-1-0. TypeScript is a trademark of Microsoft Corporation. Table of Contents 1 Introduction ................................................................................................................................................................................... 1 1.1 Ambient Declarations ..................................................................................................................................................... 3 1.2 Function Types .................................................................................................................................................................. 3 1.3 Object Types ...................................................................................................................................................................... 4 1.4 Structural Subtyping ....................................................................................................................................................... 6 1.5 Contextual Typing ............................................................................................................................................................ 7 1.6 Classes ................................................................................................................................................................................. -
A Metacircular Architecture for Runtime Optimisation Persistence Clément Béra
Sista: a Metacircular Architecture for Runtime Optimisation Persistence Clément Béra To cite this version: Clément Béra. Sista: a Metacircular Architecture for Runtime Optimisation Persistence. Program- ming Languages [cs.PL]. Université de Lille 1, 2017. English. tel-01634137 HAL Id: tel-01634137 https://hal.inria.fr/tel-01634137 Submitted on 13 Nov 2017 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. Universit´edes Sciences et Technologies de Lille { Lille 1 D´epartement de formation doctorale en informatique Ecole´ doctorale SPI Lille UFR IEEA Sista: a Metacircular Architecture for Runtime Optimisation Persistence THESE` pr´esent´eeet soutenue publiquement le 15 Septembre 2017 pour l'obtention du Doctorat de l'Universit´edes Sciences et Technologies de Lille (sp´ecialit´einformatique) par Cl´ement B´era Composition du jury Pr´esident: Theo D'Hondt Rapporteur : Ga¨elThomas, Laurence Tratt Examinateur : Elisa Gonzalez Boix Directeur de th`ese: St´ephaneDucasse Co-Encadreur de th`ese: Marcus Denker Laboratoire d'Informatique Fondamentale de Lille | UMR USTL/CNRS 8022 INRIA Lille - Nord Europe Numero´ d’ordre: XXXXX i Acknowledgments I would like to thank my thesis supervisors Stéphane Ducasse and Marcus Denker for allowing me to do a Ph.D at the RMoD group, as well as helping and supporting me during the three years of my Ph.D. -
Scala Tutorial
Scala Tutorial SCALA TUTORIAL Simply Easy Learning by tutorialspoint.com tutorialspoint.com i ABOUT THE TUTORIAL Scala Tutorial Scala is a modern multi-paradigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way. Scala has been created by Martin Odersky and he released the first version in 2003. Scala smoothly integrates features of object-oriented and functional languages. This tutorial gives a great understanding on Scala. Audience This tutorial has been prepared for the beginners to help them understand programming Language Scala in simple and easy steps. After completing this tutorial, you will find yourself at a moderate level of expertise in using Scala from where you can take yourself to next levels. Prerequisites Scala Programming is based on Java, so if you are aware of Java syntax, then it's pretty easy to learn Scala. Further if you do not have expertise in Java but you know any other programming language like C, C++ or Python, then it will also help in grasping Scala concepts very quickly. Copyright & Disclaimer Notice All the content and graphics on this tutorial are the property of tutorialspoint.com. Any content from tutorialspoint.com or this tutorial may not be redistributed or reproduced in any way, shape, or form without the written permission of tutorialspoint.com. Failure to do so is a violation of copyright laws. This tutorial may contain inaccuracies or errors and tutorialspoint provides no guarantee regarding the accuracy of the site or its contents including this tutorial. If you discover that the tutorialspoint.com site or this tutorial content contains some errors, please contact us at [email protected] TUTORIALS POINT Simply Easy Learning Table of Content Scala Tutorial .......................................................................... -
The Future: the Story of Squeak, a Practical Smalltalk Written in Itself
Back to the future: the story of Squeak, a practical Smalltalk written in itself Dan Ingalls, Ted Kaehler, John Maloney, Scott Wallace, and Alan Kay [Also published in OOPSLA ’97: Proc. of the 12th ACM SIGPLAN Conference on Object-oriented Programming, 1997, pp. 318-326.] VPRI Technical Report TR-1997-001 Viewpoints Research Institute, 1209 Grand Central Avenue, Glendale, CA 91201 t: (818) 332-3001 f: (818) 244-9761 Back to the Future The Story of Squeak, A Practical Smalltalk Written in Itself by Dan Ingalls Ted Kaehler John Maloney Scott Wallace Alan Kay at Apple Computer while doing this work, now at Walt Disney Imagineering 1401 Flower Street P.O. Box 25020 Glendale, CA 91221 [email protected] Abstract Squeak is an open, highly-portable Smalltalk implementation whose virtual machine is written entirely in Smalltalk, making it easy to debug, analyze, and change. To achieve practical performance, a translator produces an equivalent C program whose performance is comparable to commercial Smalltalks. Other noteworthy aspects of Squeak include: a compact object format that typically requires only a single word of overhead per object; a simple yet efficient incremental garbage collector for 32-bit direct pointers; efficient bulk- mutation of objects; extensions of BitBlt to handle color of any depth and anti-aliased image rotation and scaling; and real-time sound and music synthesis written entirely in Smalltalk. Overview Squeak is a modern implementation of Smalltalk-80 that is available for free via the Internet, at http://www.research.apple.com/research/proj/learning_concepts/squeak/ and other sites. It includes platform-independent support for color, sound, and image processing. -
Smalltalk Smalltalk
3/8/2008 CSE 3302 Programming Languages Smalltalk Everyygthing is obj ect. Obj ects communicate by messages. Chengkai Li Spring 2008 Lecture 14 – Smalltalk, Spring Lecture 14 – Smalltalk, Spring CSE3302 Programming Languages, UT-Arlington 1 CSE3302 Programming Languages, UT-Arlington 2 2008 ©Chengkai Li, 2008 2008 ©Chengkai Li, 2008 Object Hierarchy Object UndefinedObject Boolean Magnitude Collection No Data Type. True False Set … There is only Class. Char Number … Fraction Integer Float Lecture 14 – Smalltalk, Spring Lecture 14 – Smalltalk, Spring CSE3302 Programming Languages, UT-Arlington 3 CSE3302 Programming Languages, UT-Arlington 4 2008 ©Chengkai Li, 2008 2008 ©Chengkai Li, 2008 Syntax • Smalltalk is really “small” – Only 6 keywords (pseudo variables) – Class, object, variable, method names are self explanatory Sma llta lk Syn tax is Simp le. – Only syntax for calling method (messages) and defining method. • No syntax for control structure • No syntax for creating class Lecture 14 – Smalltalk, Spring Lecture 14 – Smalltalk, Spring CSE3302 Programming Languages, UT-Arlington 5 CSE3302 Programming Languages, UT-Arlington 6 2008 ©Chengkai Li, 2008 2008 ©Chengkai Li, 2008 1 3/8/2008 Expressions Literals • Literals • Number: 3 3.5 • Character: $a • Pseudo Variables • String: ‘ ’ (‘Hel’,’lo!’ and ‘Hello!’ are two objects) • Symbol: # (#foo and #foo are the same object) • Variables • Compile-time (literal) array: #(1 $a 1+2) • Assignments • Run-time (dynamic) array: {1. $a. 1+2} • Comment: “This is a comment.” • Blocks • Messages Lecture 14 – Smalltalk, Spring Lecture 14 – Smalltalk, Spring CSE3302 Programming Languages, UT-Arlington 7 CSE3302 Programming Languages, UT-Arlington 8 2008 ©Chengkai Li, 2008 2008 ©Chengkai Li, 2008 Pseudo Variables Variables • Instance variables. -
Python Functions
PPYYTTHHOONN FFUUNNCCTTIIOONNSS http://www.tutorialspoint.com/python/python_functions.htm Copyright © tutorialspoint.com A function is a block of organized, reusable code that is used to perform a single, related action. Functions provide better modularity for your application and a high degree of code reusing. As you already know, Python gives you many built-in functions like print, etc. but you can also create your own functions. These functions are called user-defined functions. Defining a Function You can define functions to provide the required functionality. Here are simple rules to define a function in Python. Function blocks begin with the keyword def followed by the function name and parentheses ( ). Any input parameters or arguments should be placed within these parentheses. You can also define parameters inside these parentheses. The first statement of a function can be an optional statement - the documentation string of the function or docstring. The code block within every function starts with a colon : and is indented. The statement return [expression] exits a function, optionally passing back an expression to the caller. A return statement with no arguments is the same as return None. Syntax def functionname( parameters ): "function_docstring" function_suite return [expression] By default, parameters have a positional behavior and you need to inform them in the same order that they were defined. Example The following function takes a string as input parameter and prints it on standard screen. def printme( str ): "This prints a passed string into this function" print str return Calling a Function Defining a function only gives it a name, specifies the parameters that are to be included in the function and structures the blocks of code. -
April 22 -- STEPS NSF 2012 Report
! 2012 REPORT ! STEPS Toward Expressive Programming Systems ! “A#Science#Experiment”# ! by# (In#random#order)#Yoshiki#Ohshima,#Dan#Amelang,#Ted#Kaehler,#Bert#Freudenberg,# Aran#Lunzer,#Alan#Kay,#Ian#Piumarta,#Takashi#Yamamiya,#Alan#Borning,#Hesam# Samimi,#Bret#Victor,#Kim#Rose*# VIEWPOINTS#RESEARCH#INSTITUTE# # # *These#are#the#STEPS#researchers#for#the#year#2012.#For#a#complete#listing# of#the#participants#over#the#length#of#the#project#see#the#section#on#the# NSF#site#which#contains#this#report.# TABLE OF CONTENTS — The STEPS Project for the General Public Summary of the STEPS project . Origin . STEPS aims at personal computing . What does STEPS look like? . STEPS is a “science project” . General approach . “T-shirt programming” . Overall map of STEPS . General STEPS results . Making “runnable maths” . Assessing STEPS Summary of STEPS research in 2012 . Inventing & building a language for STEPS “UI and applications”, and rewriting Frank in it . Producing a workable “chain of meaning” that extends from the screen all the way to the CPU . Inventing methods that create automatic visualizers for languages created from metalanguages . Continuing the start of “What vs How” programming via “Cooperating Languages and Solvers” Reflections on the STEPS Project to Date References Outreach Activities for final year of NSF part of the STEPS project Publications for the NSF part of the STEPS project Appendix I: KScript and KSWorld Appendix II: Making Applications in KSWorld ——— ! The$STEPS$Project$For$The$General$Public$ If#computing#is#important—for#daily#life,#learning,#business,#national#defense,#jobs,#and# -
Smalltalk's Influence on Modern Programming
1 Smalltalk’s Influence on Modern Programming Smalltalk’s Influence on Modern Programming Matt Savona. February 1 st , 2008. In September 1972 at Xerox PARC, Alan Kay, Ted Kaeher and Dan Ingalls were discussing programming languages in the hallway of their office building. Ted and Dan had begun to consider how large a language had to be to have “great power.” Alan took a different approach, and “asserted that you could define the "most powerful language in the world" in "a page of code."” Ted and Dan replied, “Put up or shut up” (Kay). And with that, the bet to develop the most powerful language was on. Alan arrived at PARC every morning at 4am for two weeks, and devoted his time from 4am to 8am to the development of the language. That language was Smalltalk. Kay had “originally made the boast because McCarthy's self-describing LISP interpreter was written in itself. It was about "a page", and as far as power goes, LISP was the whole nine- yards for functional languages.” He was sure that he could “do the same for object-oriented languages” and still have a reasonable syntax. By the eighth morning, Kay had a version of Smalltalk developed where “symbols were byte-coded and the receiving of return-values from a send was symmetric” (Kay). Several days later, Dan Ingalls had coded Kay’s scheme in BASIC, added a “token scanner”, “list maker” and many other features. “Over the next ten years he made at least 80 major releases of various flavors of Smalltalk” (Kay). -
An Overview of the Scala Programming Language
An Overview of the Scala Programming Language Second Edition Martin Odersky, Philippe Altherr, Vincent Cremet, Iulian Dragos Gilles Dubochet, Burak Emir, Sean McDirmid, Stéphane Micheloud, Nikolay Mihaylov, Michel Schinz, Erik Stenman, Lex Spoon, Matthias Zenger École Polytechnique Fédérale de Lausanne (EPFL) 1015 Lausanne, Switzerland Technical Report LAMP-REPORT-2006-001 Abstract guage for component software needs to be scalable in the sense that the same concepts can describe small as well as Scala fuses object-oriented and functional programming in large parts. Therefore, we concentrate on mechanisms for a statically typed programming language. It is aimed at the abstraction, composition, and decomposition rather than construction of components and component systems. This adding a large set of primitives which might be useful for paper gives an overview of the Scala language for readers components at some level of scale, but not at other lev- who are familar with programming methods and program- els. Second, we postulate that scalable support for compo- ming language design. nents can be provided by a programming language which unies and generalizes object-oriented and functional pro- gramming. For statically typed languages, of which Scala 1 Introduction is an instance, these two paradigms were up to now largely separate. True component systems have been an elusive goal of the To validate our hypotheses, Scala needs to be applied software industry. Ideally, software should be assembled in the design of components and component systems. Only from libraries of pre-written components, just as hardware is serious application by a user community can tell whether the assembled from pre-fabricated chips. -
Scala Is an Object Functional Programming and Scripting Language for General Software Applications Designed to Express Solutions in a Concise Manner
https://www.guru99.com/ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 1) Explain what is Scala? Scala is an object functional programming and scripting language for general software applications designed to express solutions in a concise manner. 2) What is a ‘Scala set’? What are methods through which operation sets are expressed? Scala set is a collection of pairwise elements of the same type. Scala set does not contain any duplicate elements. There are two kinds of sets, mutable and immutable. 3) What is a ‘Scala map’? Scala map is a collection of key or value pairs. Based on its key any value can be retrieved. Values are not unique but keys are unique in the Map. 4) What is the advantage of Scala? • Less error prone functional style • High maintainability and productivity • High scalability • High testability • Provides features of concurrent programming 5) In what ways Scala is better than other programming language? • The arrays uses regular generics, while in other language, generics are bolted on as an afterthought and are completely separate but have overlapping behaviours with arrays. • Scala has immutable “val” as a first class language feature. The “val” of scala is similar to Java final variables. Contents may mutate but top reference is immutable. • Scala lets ‘if blocks’, ‘for-yield loops’, and ‘code’ in braces to return a value. It is more preferable, and eliminates the need for a separate ternary