Programming Language Paradigms & the Main Principles of Object
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Programming Paradigms & Object-Oriented
4.3 (Programming Paradigms & Object-Oriented- Computer Science 9608 Programming) with Majid Tahir Syllabus Content: 4.3.1 Programming paradigms Show understanding of what is meant by a programming paradigm Show understanding of the characteristics of a number of programming paradigms (low- level, imperative (procedural), object-oriented, declarative) – low-level programming Demonstrate an ability to write low-level code that uses various address modes: o immediate, direct, indirect, indexed and relative (see Section 1.4.3 and Section 3.6.2) o imperative programming- see details in Section 2.3 (procedural programming) Object-oriented programming (OOP) o demonstrate an ability to solve a problem by designing appropriate classes o demonstrate an ability to write code that demonstrates the use of classes, inheritance, polymorphism and containment (aggregation) declarative programming o demonstrate an ability to solve a problem by writing appropriate facts and rules based on supplied information o demonstrate an ability to write code that can satisfy a goal using facts and rules Programming paradigms 1 4.3 (Programming Paradigms & Object-Oriented- Computer Science 9608 Programming) with Majid Tahir Programming paradigm: A programming paradigm is a set of programming concepts and is a fundamental style of programming. Each paradigm will support a different way of thinking and problem solving. Paradigms are supported by programming language features. Some programming languages support more than one paradigm. There are many different paradigms, not all mutually exclusive. Here are just a few different paradigms. Low-level programming paradigm The features of Low-level programming languages give us the ability to manipulate the contents of memory addresses and registers directly and exploit the architecture of a given processor. -
Bioconductor: Open Software Development for Computational Biology and Bioinformatics Robert C
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Collection Of Biostatistics Research Archive Bioconductor Project Bioconductor Project Working Papers Year 2004 Paper 1 Bioconductor: Open software development for computational biology and bioinformatics Robert C. Gentleman, Department of Biostatistical Sciences, Dana Farber Can- cer Institute Vincent J. Carey, Channing Laboratory, Brigham and Women’s Hospital Douglas J. Bates, Department of Statistics, University of Wisconsin, Madison Benjamin M. Bolstad, Division of Biostatistics, University of California, Berkeley Marcel Dettling, Seminar for Statistics, ETH, Zurich, CH Sandrine Dudoit, Division of Biostatistics, University of California, Berkeley Byron Ellis, Department of Statistics, Harvard University Laurent Gautier, Center for Biological Sequence Analysis, Technical University of Denmark, DK Yongchao Ge, Department of Biomathematical Sciences, Mount Sinai School of Medicine Jeff Gentry, Department of Biostatistical Sciences, Dana Farber Cancer Institute Kurt Hornik, Computational Statistics Group, Department of Statistics and Math- ematics, Wirtschaftsuniversitat¨ Wien, AT Torsten Hothorn, Institut fuer Medizininformatik, Biometrie und Epidemiologie, Friedrich-Alexander-Universitat Erlangen-Nurnberg, DE Wolfgang Huber, Department for Molecular Genome Analysis (B050), German Cancer Research Center, Heidelberg, DE Stefano Iacus, Department of Economics, University of Milan, IT Rafael Irizarry, Department of Biostatistics, Johns Hopkins University Friedrich Leisch, Institut fur¨ Statistik und Wahrscheinlichkeitstheorie, Technische Universitat¨ Wien, AT Cheng Li, Department of Biostatistical Sciences, Dana Farber Cancer Institute Martin Maechler, Seminar for Statistics, ETH, Zurich, CH Anthony J. Rossini, Department of Medical Education and Biomedical Informat- ics, University of Washington Guenther Sawitzki, Statistisches Labor, Institut fuer Angewandte Mathematik, DE Colin Smith, Department of Molecular Biology, The Scripps Research Institute, San Diego Gordon K. -
Tortoisemerge a Diff/Merge Tool for Windows Version 1.11
TortoiseMerge A diff/merge tool for Windows Version 1.11 Stefan Küng Lübbe Onken Simon Large TortoiseMerge: A diff/merge tool for Windows: Version 1.11 by Stefan Küng, Lübbe Onken, and Simon Large Publication date 2018/09/22 18:28:22 (r28377) Table of Contents Preface ........................................................................................................................................ vi 1. TortoiseMerge is free! ....................................................................................................... vi 2. Acknowledgments ............................................................................................................. vi 1. Introduction .............................................................................................................................. 1 1.1. Overview ....................................................................................................................... 1 1.2. TortoiseMerge's History .................................................................................................... 1 2. Basic Concepts .......................................................................................................................... 3 2.1. Viewing and Merging Differences ...................................................................................... 3 2.2. Editing Conflicts ............................................................................................................. 3 2.3. Applying Patches ........................................................................................................... -
Types and Programming Languages by Benjamin C
< Free Open Study > . .Types and Programming Languages by Benjamin C. Pierce ISBN:0262162091 The MIT Press © 2002 (623 pages) This thorough type-systems reference examines theory, pragmatics, implementation, and more Table of Contents Types and Programming Languages Preface Chapter 1 - Introduction Chapter 2 - Mathematical Preliminaries Part I - Untyped Systems Chapter 3 - Untyped Arithmetic Expressions Chapter 4 - An ML Implementation of Arithmetic Expressions Chapter 5 - The Untyped Lambda-Calculus Chapter 6 - Nameless Representation of Terms Chapter 7 - An ML Implementation of the Lambda-Calculus Part II - Simple Types Chapter 8 - Typed Arithmetic Expressions Chapter 9 - Simply Typed Lambda-Calculus Chapter 10 - An ML Implementation of Simple Types Chapter 11 - Simple Extensions Chapter 12 - Normalization Chapter 13 - References Chapter 14 - Exceptions Part III - Subtyping Chapter 15 - Subtyping Chapter 16 - Metatheory of Subtyping Chapter 17 - An ML Implementation of Subtyping Chapter 18 - Case Study: Imperative Objects Chapter 19 - Case Study: Featherweight Java Part IV - Recursive Types Chapter 20 - Recursive Types Chapter 21 - Metatheory of Recursive Types Part V - Polymorphism Chapter 22 - Type Reconstruction Chapter 23 - Universal Types Chapter 24 - Existential Types Chapter 25 - An ML Implementation of System F Chapter 26 - Bounded Quantification Chapter 27 - Case Study: Imperative Objects, Redux Chapter 28 - Metatheory of Bounded Quantification Part VI - Higher-Order Systems Chapter 29 - Type Operators and Kinding Chapter 30 - Higher-Order Polymorphism Chapter 31 - Higher-Order Subtyping Chapter 32 - Case Study: Purely Functional Objects Part VII - Appendices Appendix A - Solutions to Selected Exercises Appendix B - Notational Conventions References Index List of Figures < Free Open Study > < Free Open Study > Back Cover A type system is a syntactic method for automatically checking the absence of certain erroneous behaviors by classifying program phrases according to the kinds of values they compute. -
PHP Programming Cookbook I
PHP Programming Cookbook i PHP Programming Cookbook PHP Programming Cookbook ii Contents 1 PHP Tutorial for Beginners 1 1.1 Introduction......................................................1 1.1.1 Where is PHP used?.............................................1 1.1.2 Why PHP?..................................................2 1.2 XAMPP Setup....................................................3 1.3 PHP Language Basics.................................................5 1.3.1 Escaping to PHP...............................................5 1.3.2 Commenting PHP..............................................5 1.3.3 Hello World..................................................6 1.3.4 Variables in PHP...............................................6 1.3.5 Conditional Statements in PHP........................................7 1.3.6 Loops in PHP.................................................8 1.4 PHP Arrays...................................................... 10 1.5 PHP Functions.................................................... 12 1.6 Connecting to a Database............................................... 14 1.6.1 Connecting to MySQL Databases...................................... 14 1.6.2 Connecting to MySQLi Databases (Procedurial).............................. 14 1.6.3 Connecting to MySQLi databases (Object-Oriented)............................ 15 1.6.4 Connecting to PDO Databases........................................ 15 1.7 PHP Form Handling................................................. 15 1.8 PHP Include & Require Statements......................................... -
Object-Oriented Programming Basics with Java
Object-Oriented Programming Object-Oriented Programming Basics With Java In his keynote address to the 11th World Computer Congress in 1989, renowned computer scientist Donald Knuth said that one of the most important lessons he had learned from his years of experience is that software is hard to write! Computer scientists have struggled for decades to design new languages and techniques for writing software. Unfortunately, experience has shown that writing large systems is virtually impossible. Small programs seem to be no problem, but scaling to large systems with large programming teams can result in $100M projects that never work and are thrown out. The only solution seems to lie in writing small software units that communicate via well-defined interfaces and protocols like computer chips. The units must be small enough that one developer can understand them entirely and, perhaps most importantly, the units must be protected from interference by other units so that programmers can code the units in isolation. The object-oriented paradigm fits these guidelines as designers represent complete concepts or real world entities as objects with approved interfaces for use by other objects. Like the outer membrane of a biological cell, the interface hides the internal implementation of the object, thus, isolating the code from interference by other objects. For many tasks, object-oriented programming has proven to be a very successful paradigm. Interestingly, the first object-oriented language (called Simula, which had even more features than C++) was designed in the 1960's, but object-oriented programming has only come into fashion in the 1990's. -
A High-Level Programming Language for Multimedia Streaming
Liquidsoap: a High-Level Programming Language for Multimedia Streaming David Baelde1, Romain Beauxis2, and Samuel Mimram3 1 University of Minnesota, USA 2 Department of Mathematics, Tulane University, USA 3 CEA LIST – LMeASI, France Abstract. Generating multimedia streams, such as in a netradio, is a task which is complex and difficult to adapt to every users’ needs. We introduce a novel approach in order to achieve it, based on a dedi- cated high-level functional programming language, called Liquidsoap, for generating, manipulating and broadcasting multimedia streams. Unlike traditional approaches, which are based on configuration files or static graphical interfaces, it also allows the user to build complex and highly customized systems. This language is based on a model for streams and contains operators and constructions, which make it adapted to the gen- eration of streams. The interpreter of the language also ensures many properties concerning the good execution of the stream generation. The widespread adoption of broadband internet in the last decades has changed a lot our way of producing and consuming information. Classical devices from the analog era, such as television or radio broadcasting devices have been rapidly adapted to the digital world in order to benefit from the new technologies available. While analog devices were mostly based on hardware implementations, their digital counterparts often consist in software implementations, which po- tentially offers much more flexibility and modularity in their design. However, there is still much progress to be done to unleash this potential in many ar- eas where software implementations remain pretty much as hard-wired as their digital counterparts. -
Paradigms of Computer Programming
Paradigms of computer programming l This course aims to teach programming as a unified discipline that covers all programming languages l We cover the essential concepts and techniques in a uniform framework l Second-year university level: requires some programming experience and mathematics (sets, lists, functions) l The course covers four important themes: l Programming paradigms l Mathematical semantics of programming l Data abstraction l Concurrency l Let’s see how this works in practice Hundreds of programming languages are in use... So many, how can we understand them all? l Key insight: languages are based on paradigms, and there are many fewer paradigms than languages l We can understand many languages by learning few paradigms! What is a paradigm? l A programming paradigm is an approach to programming a computer based on a coherent set of principles or a mathematical theory l A program is written to solve problems l Any realistic program needs to solve different kinds of problems l Each kind of problem needs its own paradigm l So we need multiple paradigms and we need to combine them in the same program How can we study multiple paradigms? l How can we study multiple paradigms without studying multiple languages (since most languages only support one, or sometimes two paradigms)? l Each language has its own syntax, its own semantics, its own system, and its own quirks l We could pick three languages, like Java, Erlang, and Haskell, and structure our course around them l This would make the course complicated for no good reason -
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. -
Managing Files with Sterling Connect:Direct File Agent 1.4.0.1
Managing Files with Sterling Connect:Direct File Agent 1.4.0.1 IBM Contents Managing Files with Sterling Connect:Direct File Agent.......................................... 1 Sterling Connect:Direct File Agent Overview.............................................................................................. 1 How to Run Sterling Connect:Direct File Agent.......................................................................................... 2 Sterling Connect:Direct File Agent Logging.................................................................................................3 Sterling Connect:Direct File Agent Configuration Planning........................................................................ 3 Sterling Connect:Direct File Agent Worksheet ...........................................................................................4 Considerations for a Large Number of Watch Directories.......................................................................... 6 Modifying MaxFileSize............................................................................................................................ 6 Modifying MaxBackupIndex...................................................................................................................6 Considerations for a Large Number of Files in a Watch Directory..............................................................7 Sterling Connect:Direct File Agent Configuration Scenarios...................................................................... 7 Scenario:Detecting -
Dell EMC Powerstore CLI Guide
Dell EMC PowerStore CLI Guide May 2020 Rev. A01 Notes, cautions, and warnings NOTE: A NOTE indicates important information that helps you make better use of your product. CAUTION: A CAUTION indicates either potential damage to hardware or loss of data and tells you how to avoid the problem. WARNING: A WARNING indicates a potential for property damage, personal injury, or death. © 2020 Dell Inc. or its subsidiaries. All rights reserved. Dell, EMC, and other trademarks are trademarks of Dell Inc. or its subsidiaries. Other trademarks may be trademarks of their respective owners. Contents Additional Resources.......................................................................................................................4 Chapter 1: Introduction................................................................................................................... 5 Overview.................................................................................................................................................................................5 Use PowerStore CLI in scripts.......................................................................................................................................5 Set up the PowerStore CLI client........................................................................................................................................5 Install the PowerStore CLI client.................................................................................................................................. -
Epmp Command Line Interface User Guide
USER GUIDE ePMP Command Line Interface ePMP Command Line Interface User Manual Table of Contents 1 Introduction ...................................................................................................................................... 3 1.1 Purpose ................................................................................................................................ 3 1.2 Command Line Access ........................................................................................................ 3 1.3 Command usage syntax ...................................................................................................... 3 1.4 Basic information ................................................................................................................. 3 1.4.1 Context sensitive help .......................................................................................................... 3 1.4.2 Auto-completion ................................................................................................................... 3 1.4.3 Movement keys .................................................................................................................... 3 1.4.4 Deletion keys ....................................................................................................................... 4 1.4.5 Escape sequences .............................................................................................................. 4 2 Command Line Interface Overview ..............................................................................................