'New data type' diaporamas de présentation

IT College

IT College. Introduction to Object Oriented Methodology. Classes Fundamentals.

2.45k views • 229 slides

Chapter 6: Classes and Data Abstraction

Chapter 6: Classes and Data Abstraction.

1.03k views • 87 slides

Chapter 6: Classes and Data Abstraction

Chapter 6: Classes and Data Abstraction.

998 views • 87 slides

C Structures, Unions, Bit Manipulations and Enumerations

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OOP Basics

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Objectives

1. Objectives. Declare both a variable and a named constant Write an assignment statement Use the Convert class methods to convert data to an appropriate type Write arithmetic expressions Understand the scope of both a variable and a named constant. Objectives ( continued ).

790 views • 64 slides

Strings, Arrays, and Pointers

Strings, Arrays, and Pointers. CS-2303 System Programming Concepts (Slides include materials from The C Programming Language , 2 nd edition, by Kernighan and Ritchie and from C: How to Program , 5 th and 6 th editions, by Deitel and Deitel).

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Tutorial 2

Tutorial 2. CSCI3230 (2013-2014 First Term) By Paco WONG (pkwong@cse.cuhk.edu.hk). Outline. Predicates Conditional constructs Iteration Function Macro Structure Property list. Type Predicates. General. Specific. Example 1 > ( symbolp 10) NIL > ( atom 10) T

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Week 3: Classes, constructors, destructors, new operator Operator and function overloading

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Inheritance and Polymorphism

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Understanding Classes

Understanding Classes. CMSC 150: Lecture 17 . String Literals. " Wilco " String literal : a sequence of characters flanked by " Want to operate on the sequence E.g., pull out substrings, locate characters, etc. No primitive data type directly handles such sequences. Primitives.

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Haskell

Haskell. Chapter 7. Topics. Defining data types Exporting types Type parameters Derived instances Type synonyms Either Type classes. Not covered record syntax recursive data structures subclassing parameterized types as instances of type classes

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Lecture Set 12

Lecture Set 12. Sequential Files and Structures Part D - Structures. Objectives. Use structures to store and group data together Structures versus structure variables Structure declarations Accessing structures The with statement More complex data structures.

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Informatik I (D-ITET) Group 7, 15:00-17:00, ETZ H91 Assistant: Ercan Ucan

Informatik I (D-ITET) Group 7, 15:00-17:00, ETZ H91 Assistant: Ercan Ucan. Slides at http://people.inf.ethz.ch/eucan/inf-1 /. Exercise 5 ( 29/10/2012 ) . Discussion on Series 4 exercises (already delivered). Exercise 1 :.

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Dale Roberts, Lecturer Computer Science, IUPUI E-mail: droberts@cs.iupui.edu

Department of Computer and Information Science, School of Science, IUPUI. CSCI 230. Structures Functions and Arrays. Dale Roberts, Lecturer Computer Science, IUPUI E-mail: droberts@cs.iupui.edu. Using Structures With Functions. Passing structures to functions

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Introduction to Programming in MATLAB

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MapReduce

MapReduce. Powering Hadoop. Overview. Overview What is MapReduce How Does It Divide Work Example Conclusion References. What Is MapReduce. Originally created by Google Used to query large data-sets Extracts relations from unstructured data Can draw from many disparate data sources.

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605 views • 10 slides

Structures, Files and Pointers

Structures, Files and Pointers. Review - Defining Structures. The following is a definition of a new type typedef struct { char name[64]; char course[128]; int year; } student_info ; student variables of type student can be declared as follows.

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Discussion Class 10

Discussion Class 10 Informedia Discussion Classes Format: Question Ask a member of the class to answer. Provide opportunity for others to comment. When answering: Stand up. Give your name. Make sure that the TA hears it. Speak clearly so that all the class can hear. Suggestions:

368 views • 9 slides