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Design Pattern Interview Questions
DDEESSIIGGNN PPAATTTTEERRNN -- IINNTTEERRVVIIEEWW QQUUEESSTTIIOONNSS http://www.tutorialspoint.com/design_pattern/design_pattern_interview_questions.htm Copyright © tutorialspoint.com Dear readers, these Design Pattern Interview Questions have been designed specially to get you acquainted with the nature of questions you may encounter during your interview for the subject of Design Pattern. As per my experience good interviewers hardly plan to ask any particular question during your interview, normally questions start with some basic concept of the subject and later they continue based on further discussion and what you answer: What are Design Patterns? Design patterns represent the best practices used by experienced object-oriented software developers. Design patterns are solutions to general problems that software developers faced during software development. These solutions were obtained by trial and error by numerous software developers over quite a substantial period of time. What is Gang of Four GOF? In 1994, four authors Erich Gamma, Richard Helm, Ralph Johnson and John Vlissides published a book titled Design Patterns - Elements of Reusable Object-Oriented Software which initiated the concept of Design Pattern in Software development. These authors are collectively known as Gang of Four GOF. Name types of Design Patterns? Design patterns can be classified in three categories: Creational, Structural and Behavioral patterns. Creational Patterns - These design patterns provide a way to create objects while hiding the creation logic, rather than instantiating objects directly using new opreator. This gives program more flexibility in deciding which objects need to be created for a given use case. Structural Patterns - These design patterns concern class and object composition. Concept of inheritance is used to compose interfaces and define ways to compose objects to obtain new functionalities. -
Zend Framework 3 Cookbook
Table of Contents Introduction 1.1 About the authors 1.2 Configuration zend-config for all your configuration needs 2.1 Manage your application with zend-config-aggregator 2.2 Data Manipulation Convert objects to arrays and back with zend-hydrator 3.1 Scrape Screens with zend-dom 3.2 Paginating data collections with zend-paginator 3.3 Log and Feeds Logging PHP applications 4.1 Discover and Read RSS and Atom Feeds 4.2 Create RSS and Atom Feeds 4.3 Authentication and Authorization Manage permissions with zend-permissions-rbac 5.1 Manage permissions with zend-permissions-acl 5.2 Web Services Implement JSON-RPC with zend-json-server 6.1 Implement an XML-RPC server with zend-xmlrpc 6.2 Implement a SOAP server with zend-soap 6.3 2 Security Context-specific escaping with zend-escaper 7.1 Filter input using zend-filter 7.2 Validate input using zend-validator 7.3 Validate data using zend-inputfilter 7.4 End-to-end encryption with Zend Framework 3 7.5 Deployment and Virtualization Create ZPKs the Easy Way 8.1 Using Laravel Homestead with Zend Framework Projects 8.2 Copyright Copyright note 9.1 3 Introduction Zend Framework 3 Cookbook During the year 2017, Matthew Weier O'Phinney and Enrico Zimuel started a series of blog posts on the offical Zend Framework blog covering its components. Zend Framework is composed by 60+ components covering a wide range of functionality. While the framework has typically been marketed as a full-stack MVC framework, the individual components themselves typically work independently and can be used standalone or within other frameworks. -
Reversible Programming with Negative and Fractional Types
9 A Computational Interpretation of Compact Closed Categories: Reversible Programming with Negative and Fractional Types CHAO-HONG CHEN, Indiana University, USA AMR SABRY, Indiana University, USA Compact closed categories include objects representing higher-order functions and are well-established as models of linear logic, concurrency, and quantum computing. We show that it is possible to construct such compact closed categories for conventional sum and product types by defining a dual to sum types, a negative type, and a dual to product types, a fractional type. Inspired by the categorical semantics, we define a sound operational semantics for negative and fractional types in which a negative type represents a computational effect that “reverses execution flow” and a fractional type represents a computational effect that“garbage collects” particular values or throws exceptions. Specifically, we extend a first-order reversible language of type isomorphisms with negative and fractional types, specify an operational semantics for each extension, and prove that each extension forms a compact closed category. We furthermore show that both operational semantics can be merged using the standard combination of backtracking and exceptions resulting in a smooth interoperability of negative and fractional types. We illustrate the expressiveness of this combination by writing a reversible SAT solver that uses back- tracking search along freshly allocated and de-allocated locations. The operational semantics, most of its meta-theoretic properties, and all examples are formalized in a supplementary Agda package. CCS Concepts: • Theory of computation → Type theory; Abstract machines; Operational semantics. Additional Key Words and Phrases: Abstract Machines, Duality of Computation, Higher-Order Reversible Programming, Termination Proofs, Type Isomorphisms ACM Reference Format: Chao-Hong Chen and Amr Sabry. -
Let's Get Functional
5 LET’S GET FUNCTIONAL I’ve mentioned several times that F# is a functional language, but as you’ve learned from previous chapters you can build rich applications in F# without using any functional techniques. Does that mean that F# isn’t really a functional language? No. F# is a general-purpose, multi paradigm language that allows you to program in the style most suited to your task. It is considered a functional-first lan- guage, meaning that its constructs encourage a functional style. In other words, when developing in F# you should favor functional approaches whenever possible and switch to other styles as appropriate. In this chapter, we’ll see what functional programming really is and how functions in F# differ from those in other languages. Once we’ve estab- lished that foundation, we’ll explore several data types commonly used with functional programming and take a brief side trip into lazy evaluation. The Book of F# © 2014 by Dave Fancher What Is Functional Programming? Functional programming takes a fundamentally different approach toward developing software than object-oriented programming. While object-oriented programming is primarily concerned with managing an ever-changing system state, functional programming emphasizes immutability and the application of deterministic functions. This difference drastically changes the way you build software, because in object-oriented programming you’re mostly concerned with defining classes (or structs), whereas in functional programming your focus is on defining functions with particular emphasis on their input and output. F# is an impure functional language where data is immutable by default, though you can still define mutable data or cause other side effects in your functions. -
Student Website Setup
MVC in JSF and Spring Overview @author R.L. Martinez, Ph.D. Complexity is one of the primary challenges that has troubled software developers from the inception of the discipline. Software systems designed to perform multifaceted tasks are by nature complicated. Furthermore, software complexity continues to increase as we ask systems to accomplish more. With that in mind, designers are regularly pursuing techniques and methods to help reduce, or at least control, complexity growth. One such approach is known as MVC or, Model- View-Controller. Model-View-Controller MVC has its origins at Xerox’s PARC (Palo Alto Research Center) during the 1970-80’s. While there, Trygve Reenskaug, a visiting researcher from Norway, along with others such as Adele Goldberg, developed the MVC pattern for conceptualizing user interface based programs. PARC was an active site at that time for other important developments such as the graphical pointing device (mouse) and Object Oriented Programming (OOP). The first published work dealing with MVC at length was a 1988 article in The Journal of Object Technology. In software development terminology, MVC is known as an architectural pattern. A pattern is a reproducible and reusable construct which appears often enough in computer science as to be recognized. Instead of solving the same problem in a variety of sub-optimal ways, a pattern attempts to overlay a design with a common architectural solution. Developers not only become familiar with its application, but can also more easily understand a solution that uses a familiar pattern. There are a number of popular web application frameworks that offer MVC architectures which include: ASP.NET, Ruby on Rails, Zend Framework, Spring-MVC, etc. -
Notes on Functional Programming with Haskell
Notes on Functional Programming with Haskell H. Conrad Cunningham [email protected] Multiparadigm Software Architecture Group Department of Computer and Information Science University of Mississippi 201 Weir Hall University, Mississippi 38677 USA Fall Semester 2014 Copyright c 1994, 1995, 1997, 2003, 2007, 2010, 2014 by H. Conrad Cunningham Permission to copy and use this document for educational or research purposes of a non-commercial nature is hereby granted provided that this copyright notice is retained on all copies. All other rights are reserved by the author. H. Conrad Cunningham, D.Sc. Professor and Chair Department of Computer and Information Science University of Mississippi 201 Weir Hall University, Mississippi 38677 USA [email protected] PREFACE TO 1995 EDITION I wrote this set of lecture notes for use in the course Functional Programming (CSCI 555) that I teach in the Department of Computer and Information Science at the Uni- versity of Mississippi. The course is open to advanced undergraduates and beginning graduate students. The first version of these notes were written as a part of my preparation for the fall semester 1993 offering of the course. This version reflects some restructuring and revision done for the fall 1994 offering of the course|or after completion of the class. For these classes, I used the following resources: Textbook { Richard Bird and Philip Wadler. Introduction to Functional Program- ming, Prentice Hall International, 1988 [2]. These notes more or less cover the material from chapters 1 through 6 plus selected material from chapters 7 through 9. Software { Gofer interpreter version 2.30 (2.28 in 1993) written by Mark P. -
Design Patterns in Ocaml
Design Patterns in OCaml Antonio Vicente [email protected] Earl Wagner [email protected] Abstract The GOF Design Patterns book is an important piece of any professional programmer's library. These patterns are generally considered to be an indication of good design and development practices. By giving an implementation of these patterns in OCaml we expected to better understand the importance of OCaml's advanced language features and provide other developers with an implementation of these familiar concepts in order to reduce the effort required to learn this language. As in the case of Smalltalk and Scheme+GLOS, OCaml's higher order features allows for simple elegant implementation of some of the patterns while others were much harder due to the OCaml's restrictive type system. 1 Contents 1 Background and Motivation 3 2 Results and Evaluation 3 3 Lessons Learned and Conclusions 4 4 Creational Patterns 5 4.1 Abstract Factory . 5 4.2 Builder . 6 4.3 Factory Method . 6 4.4 Prototype . 7 4.5 Singleton . 8 5 Structural Patterns 8 5.1 Adapter . 8 5.2 Bridge . 8 5.3 Composite . 8 5.4 Decorator . 9 5.5 Facade . 10 5.6 Flyweight . 10 5.7 Proxy . 10 6 Behavior Patterns 11 6.1 Chain of Responsibility . 11 6.2 Command . 12 6.3 Interpreter . 13 6.4 Iterator . 13 6.5 Mediator . 13 6.6 Memento . 13 6.7 Observer . 13 6.8 State . 14 6.9 Strategy . 15 6.10 Template Method . 15 6.11 Visitor . 15 7 References 18 2 1 Background and Motivation Throughout this course we have seen many examples of methodologies and tools that can be used to reduce the burden of working in a software project. -
Scala by Example (2009)
Scala By Example DRAFT January 13, 2009 Martin Odersky PROGRAMMING METHODS LABORATORY EPFL SWITZERLAND Contents 1 Introduction1 2 A First Example3 3 Programming with Actors and Messages7 4 Expressions and Simple Functions 11 4.1 Expressions And Simple Functions...................... 11 4.2 Parameters.................................... 12 4.3 Conditional Expressions............................ 15 4.4 Example: Square Roots by Newton’s Method................ 15 4.5 Nested Functions................................ 16 4.6 Tail Recursion.................................. 18 5 First-Class Functions 21 5.1 Anonymous Functions............................. 22 5.2 Currying..................................... 23 5.3 Example: Finding Fixed Points of Functions................ 25 5.4 Summary..................................... 28 5.5 Language Elements Seen So Far....................... 28 6 Classes and Objects 31 7 Case Classes and Pattern Matching 43 7.1 Case Classes and Case Objects........................ 46 7.2 Pattern Matching................................ 47 8 Generic Types and Methods 51 8.1 Type Parameter Bounds............................ 53 8.2 Variance Annotations.............................. 56 iv CONTENTS 8.3 Lower Bounds.................................. 58 8.4 Least Types.................................... 58 8.5 Tuples....................................... 60 8.6 Functions.................................... 61 9 Lists 63 9.1 Using Lists.................................... 63 9.2 Definition of class List I: First Order Methods.............. -
Allench2.Pdf
Zend Framework in Action by Rob Allen Nick Lo Steven Brown Chapter 2 Copyright 2009 Manning Publications Hello Zend Framework! This chapter covers ■ An introduction to the Model-View-Controller design pattern ■ Zend Framework’s controller components ■ The Zend_View component ■ Databases as models Before we can investigate in detail all the components of Zend Framework, we must get our bearings, and this is best done by building a simple website that uses the MVC) components. For a standard PHP application, the code to display the text “Hello World” constitutes just one line in one file: <?php echo 'Hello World'; In this chapter, we will build a Hello World application using Zend Framework. We will also consider how to organize the website’s files on disk to make sure we can find what we are looking for, and we will look at Zend Framework files required to create an application that uses the MVC design pattern. NOTE Zend Framework requires many files to create the foundation from which a full website can be created. This means the code for our Hello 18 The Model-View-Controller design pattern 19 World application may appear unnecessarily verbose as we set the stage for the full-blown website that will follow in later chapters. This chapter will walk through all the files required to build Hello World. We will also discuss Zend Framework’s MVC design and the core components it provides for build- ing the controller, view, and model in our application. Let’s dive right in and look at what the Model-View-Controller design pattern is all about. -
61A Lecture 6 Lambda Expressions VS Currying
Announcements • Homework 2 due Tuesday 9/17 @ 11:59pm • Project 2 due Thursday 9/19 @ 11:59pm • Optional Guerrilla section next Monday for students to master higher-order functions . Organized by Andrew Huang and the readers 61A Lecture 6 . Work in a group on a problem until everyone in the group understands the solution • Midterm 1 on Monday 9/23 from 7pm to 9pm Friday, September 13 . Details and review materials will be posted early next week . There will be a web form for students who cannot attend due to a conflict 2 Lambda Expressions >>> ten = 10 An expression: this one evaluates to a number >>> square = x * x Also an expression: evaluates to a function Lambda Expressions >>> square = lambda x: x * x Important: No "return" keyword! A function with formal parameter x that returns the value of "x * x" >>> square(4) 16 Must be a single expression Lambda expressions are not common in Python, but important in general (Demo) Lambda expressions in Python cannot contain statements at all! 4 Lambda Expressions Versus Def Statements def square(x): square = lambda x: x * x VS return x * x • Both create a function with the same domain, range, and behavior. • Both functions have as their parent the environment in which they were defined. Currying • Both bind that function to the name square. • Only the def statement gives the function an intrinsic name. The Greek letter lambda Example: http://goo.gl/XH54uE 5 Function Currying def make_adder(n): return lambda k: n + k >>> make_adder(2)(3) There's a general 5 relationship between (Demo) >>> add(2, 3) these functions 5 Newton's Method Currying: Transforming a multi-argument function into a single-argument, higher-order function. -
The Mvc-Web Design Pattern
THE MVC-WEB DESIGN PATTERN Ralph F. Grove and Eray Ozkan Department of Computer Science, James Madison University, Harrisonburg, VA, U.S.A. Keywords: Web, Web framework, Design patterns, Model view controller pattern. Abstract: The Model-View-Controller design pattern is cited as the architectural basis for many web development frameworks. However, the version of MVC used for web development has changed as it has evolved from the original Smalltalk MVC. This paper presents an analysis of those changes, and proposes a separate Web-MVC pattern that more accurately describes how MVC is implemented in web frameworks. 1 INTRODUCTION 2 SMALLTALK MVC The Model-View-Controller (MVC) design pattern The MVC design pattern was introduced with the is cited as the basis for the architecture of several Smalltalk programming environment as a way to web application frameworks, such as ASP .Net, structure interactive applications in a modular Rails, and Struts. The MVC pattern was originally fashion (Krasner and Pope, 1988). As the name implemented in the Smalltalk-80 programming implies, the MVC design pattern decomposes environment developed at Xerox PARC (Goldberg functionality into three major components. and Robson, 1985). As it has been adapted for web The model component encapsulates the domain- frameworks the MVC pattern has evolved in specific structure and functionality of the different ways, resulting in implementations that application. This essentially includes the state of the differ significantly from each other and from the application and operations that can change state. The original Smalltalk implementation. model also maintains dependencies of view and The first goal of this paper is to present the MVC controller components, which it notifies in the event design pattern, both in its original form (section 2) of changes in state. -
CSE 341 : Programming Languages
CSE 341 : Programming Languages Lecture 10 Closure Idioms Zach Tatlock Spring 2014 More idioms • We know the rule for lexical scope and function closures – Now what is it good for A partial but wide-ranging list: • Pass functions with private data to iterators: Done • Combine functions (e.g., composition) • Currying (multi-arg functions and partial application) • Callbacks (e.g., in reactive programming) • Implementing an ADT with a record of functions (optional) 2 Combine functions Canonical example is function composition: fun compose (f,g) = fn x => f (g x) • Creates a closure that “remembers” what f and g are bound to • Type ('b -> 'c) * ('a -> 'b) -> ('a -> 'c) but the REPL prints something equivalent • ML standard library provides this as infix operator o • Example (third version best): fun sqrt_of_abs i = Math.sqrt(Real.fromInt(abs i)) fun sqrt_of_abs i = (Math.sqrt o Real.fromInt o abs) i val sqrt_of_abs = Math.sqrt o Real.fromInt o abs 3 Left-to-right or right-to-left val sqrt_of_abs = Math.sqrt o Real.fromInt o abs As in math, function composition is “right to left” – “take absolute value, convert to real, and take square root” – “square root of the conversion to real of absolute value” “Pipelines” of functions are common in functional programming and many programmers prefer left-to-right – Can define our own infix operator – This one is very popular (and predefined) in F# infix |> fun x |> f = f x fun sqrt_of_abs i = i |> abs |> Real.fromInt |> Math.sqrt 4 Another example • “Backup function” fun backup1 (f,g) = fn x => case