Functional Javascript
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Building Great Interfaces with OOABL
Building great Interfaces with OOABL Mike Fechner Director Übersicht © 2018 Consultingwerk Ltd. All rights reserved. 2 Übersicht © 2018 Consultingwerk Ltd. All rights reserved. 3 Übersicht Consultingwerk Software Services Ltd. ▪ Independent IT consulting organization ▪ Focusing on OpenEdge and related technology ▪ Located in Cologne, Germany, subsidiaries in UK and Romania ▪ Customers in Europe, North America, Australia and South Africa ▪ Vendor of developer tools and consulting services ▪ Specialized in GUI for .NET, Angular, OO, Software Architecture, Application Integration ▪ Experts in OpenEdge Application Modernization © 2018 Consultingwerk Ltd. All rights reserved. 4 Übersicht Mike Fechner ▪ Director, Lead Modernization Architect and Product Manager of the SmartComponent Library and WinKit ▪ Specialized on object oriented design, software architecture, desktop user interfaces and web technologies ▪ 28 years of Progress experience (V5 … OE11) ▪ Active member of the OpenEdge community ▪ Frequent speaker at OpenEdge related conferences around the world © 2018 Consultingwerk Ltd. All rights reserved. 5 Übersicht Agenda ▪ Introduction ▪ Interface vs. Implementation ▪ Enums ▪ Value or Parameter Objects ▪ Fluent Interfaces ▪ Builders ▪ Strong Typed Dynamic Query Interfaces ▪ Factories ▪ Facades and Decorators © 2018 Consultingwerk Ltd. All rights reserved. 6 Übersicht Introduction ▪ Object oriented (ABL) programming is more than just a bunch of new syntax elements ▪ It’s easy to continue producing procedural spaghetti code in classes ▪ -
Functional Languages
Functional Programming Languages (FPL) 1. Definitions................................................................... 2 2. Applications ................................................................ 2 3. Examples..................................................................... 3 4. FPL Characteristics:.................................................... 3 5. Lambda calculus (LC)................................................. 4 6. Functions in FPLs ....................................................... 7 7. Modern functional languages...................................... 9 8. Scheme overview...................................................... 11 8.1. Get your own Scheme from MIT...................... 11 8.2. General overview.............................................. 11 8.3. Data Typing ...................................................... 12 8.4. Comments ......................................................... 12 8.5. Recursion Instead of Iteration........................... 13 8.6. Evaluation ......................................................... 14 8.7. Storing and using Scheme code ........................ 14 8.8. Variables ........................................................... 15 8.9. Data types.......................................................... 16 8.10. Arithmetic functions ......................................... 17 8.11. Selection functions............................................ 18 8.12. Iteration............................................................. 23 8.13. Defining functions ........................................... -
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. -
Functional Programming Laboratory 1 Programming Paradigms
Intro 1 Functional Programming Laboratory C. Beeri 1 Programming Paradigms A programming paradigm is an approach to programming: what is a program, how are programs designed and written, and how are the goals of programs achieved by their execution. A paradigm is an idea in pure form; it is realized in a language by a set of constructs and by methodologies for using them. Languages sometimes combine several paradigms. The notion of paradigm provides a useful guide to understanding programming languages. The imperative paradigm underlies languages such as Pascal and C. The object-oriented paradigm is embodied in Smalltalk, C++ and Java. These are probably the paradigms known to the students taking this lab. We introduce functional programming by comparing it to them. 1.1 Imperative and object-oriented programming Imperative programming is based on a simple construct: A cell is a container of data, whose contents can be changed. A cell is an abstraction of a memory location. It can store data, such as integers or real numbers, or addresses of other cells. The abstraction hides the size bounds that apply to real memory, as well as the physical address space details. The variables of Pascal and C denote cells. The programming construct that allows to change the contents of a cell is assignment. In the imperative paradigm a program has, at each point of its execution, a state represented by a collection of cells and their contents. This state changes as the program executes; assignment statements change the contents of cells, other statements create and destroy cells. Yet others, such as conditional and loop statements allow the programmer to direct the control flow of the program. -
Functional and Imperative Object-Oriented Programming in Theory and Practice
Uppsala universitet Inst. för informatik och media Functional and Imperative Object-Oriented Programming in Theory and Practice A Study of Online Discussions in the Programming Community Per Jernlund & Martin Stenberg Kurs: Examensarbete Nivå: C Termin: VT-19 Datum: 14-06-2019 Abstract Functional programming (FP) has progressively become more prevalent and techniques from the FP paradigm has been implemented in many different Imperative object-oriented programming (OOP) languages. However, there is no indication that OOP is going out of style. Nevertheless the increased popularity in FP has sparked new discussions across the Internet between the FP and OOP communities regarding a multitude of related aspects. These discussions could provide insights into the questions and challenges faced by programmers today. This thesis investigates these online discussions in a small and contemporary scale in order to identify the most discussed aspect of FP and OOP. Once identified the statements and claims made by various discussion participants were selected and compared to literature relating to the aspects and the theory behind the paradigms in order to determine whether there was any discrepancies between practitioners and theory. It was done in order to investigate whether the practitioners had different ideas in the form of best practices that could influence theories. The most discussed aspect within FP and OOP was immutability and state relating primarily to the aspects of concurrency and performance. This thesis presents a selection of representative quotes that illustrate the different points of view held by groups in the community and then addresses those claims by investigating what is said in literature. -
Automating Testing with Autofixture, Xunit.Net & Specflow
Design Patterns Michael Heitland Oct 2015 Creational Patterns • Abstract Factory • Builder • Factory Method • Object Pool* • Prototype • Simple Factory* • Singleton (* this pattern got added later by others) Structural Patterns ● Adapter ● Bridge ● Composite ● Decorator ● Facade ● Flyweight ● Proxy Behavioural Patterns 1 ● Chain of Responsibility ● Command ● Interpreter ● Iterator ● Mediator ● Memento Behavioural Patterns 2 ● Null Object * ● Observer ● State ● Strategy ● Template Method ● Visitor Initial Acronym Concept Single responsibility principle: A class should have only a single responsibility (i.e. only one potential change in the S SRP software's specification should be able to affect the specification of the class) Open/closed principle: “Software entities … should be open O OCP for extension, but closed for modification.” Liskov substitution principle: “Objects in a program should be L LSP replaceable with instances of their subtypes without altering the correctness of that program.” See also design by contract. Interface segregation principle: “Many client-specific I ISP interfaces are better than one general-purpose interface.”[8] Dependency inversion principle: One should “Depend upon D DIP Abstractions. Do not depend upon concretions.”[8] Creational Patterns Simple Factory* Encapsulating object creation. Clients will use object interfaces. Abstract Factory Provide an interface for creating families of related or dependent objects without specifying their concrete classes. Inject the factory into the object. Dependency Inversion Principle Depend upon abstractions. Do not depend upon concrete classes. Our high-level components should not depend on our low-level components; rather, they should both depend on abstractions. Builder Separate the construction of a complex object from its implementation so that the two can vary independently. The same construction process can create different representations. -
Functional Programming Lecture 1: Introduction
Functional Programming Lecture 13: FP in the Real World Viliam Lisý Artificial Intelligence Center Department of Computer Science FEE, Czech Technical University in Prague [email protected] 1 Mixed paradigm languages Functional programming is great easy parallelism and concurrency referential transparency, encapsulation compact declarative code Imperative programming is great more convenient I/O better performance in certain tasks There is no reason not to combine paradigms 2 3 Source: Wikipedia 4 Scala Quite popular with industry Multi-paradigm language • simple parallelism/concurrency • able to build enterprise solutions Runs on JVM 5 Scala vs. Haskell • Adam Szlachta's slides 6 Is Java 8 a Functional Language? Based on: https://jlordiales.me/2014/11/01/overview-java-8/ Functional language first class functions higher order functions pure functions (referential transparency) recursion closures currying and partial application 7 First class functions Previously, you could pass only classes in Java File[] directories = new File(".").listFiles(new FileFilter() { @Override public boolean accept(File pathname) { return pathname.isDirectory(); } }); Java 8 has the concept of method reference File[] directories = new File(".").listFiles(File::isDirectory); 8 Lambdas Sometimes we want a single-purpose function File[] csvFiles = new File(".").listFiles(new FileFilter() { @Override public boolean accept(File pathname) { return pathname.getAbsolutePath().endsWith("csv"); } }); Java 8 has lambda functions for that File[] csvFiles = new File(".") -
Designpatternsphp Documentation Release 1.0
DesignPatternsPHP Documentation Release 1.0 Dominik Liebler and contributors Jul 18, 2021 Contents 1 Patterns 3 1.1 Creational................................................3 1.1.1 Abstract Factory........................................3 1.1.2 Builder.............................................8 1.1.3 Factory Method......................................... 13 1.1.4 Pool............................................... 18 1.1.5 Prototype............................................ 21 1.1.6 Simple Factory......................................... 24 1.1.7 Singleton............................................ 26 1.1.8 Static Factory.......................................... 28 1.2 Structural................................................. 30 1.2.1 Adapter / Wrapper....................................... 31 1.2.2 Bridge.............................................. 35 1.2.3 Composite............................................ 39 1.2.4 Data Mapper.......................................... 42 1.2.5 Decorator............................................ 46 1.2.6 Dependency Injection...................................... 50 1.2.7 Facade.............................................. 53 1.2.8 Fluent Interface......................................... 56 1.2.9 Flyweight............................................ 59 1.2.10 Proxy.............................................. 62 1.2.11 Registry............................................. 66 1.3 Behavioral................................................ 69 1.3.1 Chain Of Responsibilities................................... -
Design Patterns for QA Automation Anton Semenchenko
Design Patterns for QA Automation Anton Semenchenko CONFIDENTIAL 1 Agenda, part 1 (general) 1. Main challenges 2. Solution 3. Design Patterns – the simplest definition 4. Design Patterns language – the simplest definition 5. Encapsulation – the most important OOP principle CONFIDENTIAL 2 Agenda, part 2 (main patterns) 1. Page Element 2. Page Object 3. Action CONFIDENTIAL 3 Agenda, part 3 (less popular patterns) 1. Flow (Fluent Interface) – Ubiquitous language – Key word driven – Behavior Driven Development (BDD) 2. Domain Specific Language (DSL) – Flow 3. Navigator (for Web) CONFIDENTIAL 4 Agenda, part 4 (take away points) 1. “Rules” and principles 2. A huge set of useful links 3. A huge set of examples CONFIDENTIAL 5 2 main challenges in our every day work (interview experience) 1. Pure design 2. Over design CONFIDENTIAL 6 Solution 1. Find a balance CONFIDENTIAL 7 Design Patterns – the simplest definition 1. Elements (blocks) of reusable object-oriented software; 2. The re-usable form of a solution to a design problem; CONFIDENTIAL 8 Design Patterns – as a language 1. Design patterns that relate to a particular field (for example QA Automation) is called a pattern language 2. Design Patterns language gives a common terminology for discussing the situations specialists are faced with: – “The elements of this language are entities called patterns”; – “Each pattern describes a problem that occurs over and over again in our (QA Automation) environment”; – “Each pattern describes the core of the solution to that problem, in such a way that you can use this solution a million times over, without ever doing it the same way twice!” CONFIDENTIAL 9 Design Patterns for QA Automation 1. -
Drools Expert User Guide
Drools Expert User Guide Version 6.0.0.CR2 by The JBoss Drools team [http://www.jboss.org/drools/team.html] ....................................................................................................................................... vii 1. Introduction ................................................................................................................. 1 1.1. Artificial Intelligence ............................................................................................ 1 1.1.1. A Little History ......................................................................................... 1 1.1.2. Knowledge Representation and Reasoning ................................................ 2 1.1.3. Rule Engines and Production Rule Systems (PRS) .................................... 3 1.1.4. Hybrid Reasoning Systems (HRS) ............................................................ 5 1.1.5. Expert Systems ........................................................................................ 8 1.1.6. Recommended Reading ........................................................................... 9 1.2. Why use a Rule Engine? .................................................................................. 12 1.2.1. Advantages of a Rule Engine ................................................................. 13 1.2.2. When should you use a Rule Engine? ..................................................... 14 1.2.3. When not to use a Rule Engine .............................................................. 15 1.2.4. Scripting -
The Grace Programming Language Draft Specification Version 0.3.1261" (2013)
Portland State University PDXScholar Computer Science Faculty Publications and Presentations Computer Science 2013 The Grace Programming Language Draft Specification ersionV 0.3.1261 Andrew P. Black Portland State University, [email protected] Kim B. Bruce James Noble Follow this and additional works at: https://pdxscholar.library.pdx.edu/compsci_fac Part of the Programming Languages and Compilers Commons Let us know how access to this document benefits ou.y Citation Details Black, Andrew P.; Bruce, Kim B.; and Noble, James, "The Grace Programming Language Draft Specification Version 0.3.1261" (2013). Computer Science Faculty Publications and Presentations. 111. https://pdxscholar.library.pdx.edu/compsci_fac/111 This Post-Print is brought to you for free and open access. It has been accepted for inclusion in Computer Science Faculty Publications and Presentations by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible: [email protected]. The Grace Programming Language Draft Specification Version 0.3.1261 Andrew P. Black Kim B. Bruce James Noble August 14, 2013 1 Introduction This is a specification of the Grace Programming Language. This specifica- tion is notably incomplete, and everything is subject to change. In particular, this version does not address: • the library, especially collection syntax and collection literals • nested static type system (although we’ve made a start) • module system James Ishould write up from DYLA paperJ • metadata (Java’s @annotations, C] attributes, final, abstract etc) James Ishould add this tooJ Kim INeed to add syntax, but not necessarily details of which attributes are in language (yet)J • immutable data and pure methods. -
An Interpreter for a Novice-Oriented Programming Language With
An Interpreter for a Novice-Oriented Programming Language with Runtime Macros by Jeremy Daniel Kaplan Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of Engineering in Electrical Engineering and Computer Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY June 2017 ○c Jeremy Daniel Kaplan, MMXVII. All rights reserved. The author hereby grants to MIT permission to reproduce and to distribute publicly paper and electronic copies of this thesis document in whole or in part in any medium now known or hereafter created. Author................................................................ Department of Electrical Engineering and Computer Science May 12, 2017 Certified by. Adam Hartz Lecturer Thesis Supervisor Accepted by . Christopher Terman Chairman, Masters of Engineering Thesis Committee 2 An Interpreter for a Novice-Oriented Programming Language with Runtime Macros by Jeremy Daniel Kaplan Submitted to the Department of Electrical Engineering and Computer Science on May 12, 2017, in partial fulfillment of the requirements for the degree of Master of Engineering in Electrical Engineering and Computer Science Abstract In this thesis, we present the design and implementation of a new novice-oriented programming language with automatically hygienic runtime macros, as well as an interpreter framework for creating such languages. The language is intended to be used as a pedagogical tool for introducing basic programming concepts to introductory programming students. We designed it to have a simple notional machine and to be similar to other modern languages in order to ease a student’s transition into other programming languages. Thesis Supervisor: Adam Hartz Title: Lecturer 3 4 Acknowledgements I would like to thank every student and staff member of MIT’s 6.01 that I have worked with in the years I was involved in it.