Data Abstraction and Object-Oriented Programming in C++

Data Abstraction and Object-Oriented Programming in C++

Author: Keith E. Gorlen

Publisher:

Published: 1990-07-11

Total Pages: 440

ISBN-13:

DOWNLOAD EBOOK

Software -- Programming Languages.


Book Synopsis Data Abstraction and Object-Oriented Programming in C++ by : Keith E. Gorlen

Download or read book Data Abstraction and Object-Oriented Programming in C++ written by Keith E. Gorlen and published by . This book was released on 1990-07-11 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software -- Programming Languages.


Data Abstraction and Object-Oriented Programming in C++

Data Abstraction and Object-Oriented Programming in C++

Author: Keith E. Gorlen

Publisher:

Published: 1990-07-11

Total Pages: 438

ISBN-13:

DOWNLOAD EBOOK

Software -- Programming Languages.


Book Synopsis Data Abstraction and Object-Oriented Programming in C++ by : Keith E. Gorlen

Download or read book Data Abstraction and Object-Oriented Programming in C++ written by Keith E. Gorlen and published by . This book was released on 1990-07-11 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software -- Programming Languages.


Data Abstraction And Program Design

Data Abstraction And Program Design

Author: R Ellis

Publisher: CRC Press

Published: 1997-01-14

Total Pages: 290

ISBN-13: 9781857285703

DOWNLOAD EBOOK

This student text explores large-scale program design in the object-oriented paradigm, with an emphasis on data abstraction. It assumes knowledge of an imperative language such as PASCAL and provides examples in C++ and ADA.


Book Synopsis Data Abstraction And Program Design by : R Ellis

Download or read book Data Abstraction And Program Design written by R Ellis and published by CRC Press. This book was released on 1997-01-14 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This student text explores large-scale program design in the object-oriented paradigm, with an emphasis on data abstraction. It assumes knowledge of an imperative language such as PASCAL and provides examples in C++ and ADA.


Data Abstraction

Data Abstraction

Author: Joseph Bergin

Publisher:

Published: 1994-01

Total Pages: 666

ISBN-13: 9780079116925

DOWNLOAD EBOOK

This text takes a object-oriented approach to teaching data abstraction using C++. It consists of three main sections: an overview, in which the principles of object oriented design and development are presented; the implementation of the various data abstractions including approximately 90 classes; and three case studies. The case studies and integrated examples reinforce other computer science topics, and the discussions of finite automata, program translation, and database normalization are intended to introduce concepts that will be discussed again in detail in other courses.


Book Synopsis Data Abstraction by : Joseph Bergin

Download or read book Data Abstraction written by Joseph Bergin and published by . This book was released on 1994-01 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text takes a object-oriented approach to teaching data abstraction using C++. It consists of three main sections: an overview, in which the principles of object oriented design and development are presented; the implementation of the various data abstractions including approximately 90 classes; and three case studies. The case studies and integrated examples reinforce other computer science topics, and the discussions of finite automata, program translation, and database normalization are intended to introduce concepts that will be discussed again in detail in other courses.


Data-Oriented Programming

Data-Oriented Programming

Author: Yehonathan Sharvit

Publisher: Simon and Schuster

Published: 2022-08-16

Total Pages: 422

ISBN-13: 1617298573

DOWNLOAD EBOOK

Eliminate the unavoidable complexity of object-oriented designs. The innovative data-oriented programming paradigm makes your systems less complex by making it simpler to access and manipulate data. In Data-Oriented Programming you will learn how to: Separate code from data Represent data with generic data structures Manipulate data with general-purpose functions Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data Benefit from polymorphism without objects Debug programs without a debugger Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you’ll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP. Best of all, the paradigm is language-agnostic—you’ll learn to write DOP code that can be implemented in JavaScript, Ruby, Python, Clojure, and also in traditional OO languages like Java or C#. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The Data-oriented programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then performing calculations using non-mutating general-purpose functions. Your applications are free of state-related bugs and your code is easier to understand and maintain. About the book Data-Oriented Programming teaches you to design software using the groundbreaking data-oriented paradigm. You’ll put DOP into action to design data models for business entities and implement a library management system that manages state without data mutation. The numerous diagrams, intuitive mind maps, and a unique conversational approach all help you get your head around these exciting new ideas. Every chapter has a lightbulb moment that will change the way you think about programming. What's inside Separate code from data Represent data with generic data structures Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data About the reader For programmers who have experience with a high-level programming language like JavaScript, Java, Python, C#, Clojure, or Ruby. About the author Yehonathan Sharvit has over twenty years of experience as a software engineer. He blogs, speaks at conferences, and leads Data-Oriented Programming workshops around the world. Table of Contents PART 1 FLEXIBILITY 1 Complexity of object-oriented programming 2 Separation between code and data 3 Basic data manipulation 4 State management 5 Basic concurrency control 6 Unit tests PART 2 SCALABILITY 7 Basic data validation 8 Advanced concurrency control 9 Persistent data structures 10 Database operations 11 Web services PART 3 MAINTAINABILITY 12 Advanced data validation 13 Polymorphism 14 Advanced data manipulation 15 Debugging


Book Synopsis Data-Oriented Programming by : Yehonathan Sharvit

Download or read book Data-Oriented Programming written by Yehonathan Sharvit and published by Simon and Schuster. This book was released on 2022-08-16 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eliminate the unavoidable complexity of object-oriented designs. The innovative data-oriented programming paradigm makes your systems less complex by making it simpler to access and manipulate data. In Data-Oriented Programming you will learn how to: Separate code from data Represent data with generic data structures Manipulate data with general-purpose functions Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data Benefit from polymorphism without objects Debug programs without a debugger Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you’ll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP. Best of all, the paradigm is language-agnostic—you’ll learn to write DOP code that can be implemented in JavaScript, Ruby, Python, Clojure, and also in traditional OO languages like Java or C#. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The Data-oriented programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then performing calculations using non-mutating general-purpose functions. Your applications are free of state-related bugs and your code is easier to understand and maintain. About the book Data-Oriented Programming teaches you to design software using the groundbreaking data-oriented paradigm. You’ll put DOP into action to design data models for business entities and implement a library management system that manages state without data mutation. The numerous diagrams, intuitive mind maps, and a unique conversational approach all help you get your head around these exciting new ideas. Every chapter has a lightbulb moment that will change the way you think about programming. What's inside Separate code from data Represent data with generic data structures Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data About the reader For programmers who have experience with a high-level programming language like JavaScript, Java, Python, C#, Clojure, or Ruby. About the author Yehonathan Sharvit has over twenty years of experience as a software engineer. He blogs, speaks at conferences, and leads Data-Oriented Programming workshops around the world. Table of Contents PART 1 FLEXIBILITY 1 Complexity of object-oriented programming 2 Separation between code and data 3 Basic data manipulation 4 State management 5 Basic concurrency control 6 Unit tests PART 2 SCALABILITY 7 Basic data validation 8 Advanced concurrency control 9 Persistent data structures 10 Database operations 11 Web services PART 3 MAINTAINABILITY 12 Advanced data validation 13 Polymorphism 14 Advanced data manipulation 15 Debugging


Objects, Abstraction, Data Structures and Design

Objects, Abstraction, Data Structures and Design

Author: Elliot B. Koffman

Publisher: John Wiley & Sons

Published: 2005-10-20

Total Pages: 832

ISBN-13: 0471467553

DOWNLOAD EBOOK

"It is a practical book with emphasis on real problems the programmers encounter daily." --Dr.Tim H. Lin, California State Polytechnic University, Pomona "My overall impressions of this book are excellent. This book emphasizes the three areas I want: advanced C++, data structures and the STL and is much stronger in these areas than other competing books." --Al Verbanec, Pennsylvania State University Think, Then Code When it comes to writing code, preparation is crucial to success. Before you can begin writing successful code, you need to first work through your options and analyze the expected performance of your design. That's why Elliot Koffman and Paul Wolfgang's Objects, Abstraction, Data Structures, and Design: Using C++ encourages you to Think, Then Code, to help you make good decisions in those critical first steps in the software design process. The text helps you thoroughly understand basic data structures and algorithms, as well as essential design skills and principles. Approximately 20 case studies show you how to apply those skills and principles to real-world problems. Along the way, you'll gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations. Key Features * Object-oriented approach. * Data structures are presented in the context of software design principles. * 20 case studies reinforce good programming practice. * Problem-solving methodology used throughout... "Think, then code!" * Emphasis on the C++ Standard Library. * Effective pedagogy.


Book Synopsis Objects, Abstraction, Data Structures and Design by : Elliot B. Koffman

Download or read book Objects, Abstraction, Data Structures and Design written by Elliot B. Koffman and published by John Wiley & Sons. This book was released on 2005-10-20 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: "It is a practical book with emphasis on real problems the programmers encounter daily." --Dr.Tim H. Lin, California State Polytechnic University, Pomona "My overall impressions of this book are excellent. This book emphasizes the three areas I want: advanced C++, data structures and the STL and is much stronger in these areas than other competing books." --Al Verbanec, Pennsylvania State University Think, Then Code When it comes to writing code, preparation is crucial to success. Before you can begin writing successful code, you need to first work through your options and analyze the expected performance of your design. That's why Elliot Koffman and Paul Wolfgang's Objects, Abstraction, Data Structures, and Design: Using C++ encourages you to Think, Then Code, to help you make good decisions in those critical first steps in the software design process. The text helps you thoroughly understand basic data structures and algorithms, as well as essential design skills and principles. Approximately 20 case studies show you how to apply those skills and principles to real-world problems. Along the way, you'll gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations. Key Features * Object-oriented approach. * Data structures are presented in the context of software design principles. * 20 case studies reinforce good programming practice. * Problem-solving methodology used throughout... "Think, then code!" * Emphasis on the C++ Standard Library. * Effective pedagogy.


Object Oriented Programming in C++

Object Oriented Programming in C++

Author: Richard Baker

Publisher:

Published: 2020-09-25

Total Pages: 210

ISBN-13:

DOWNLOAD EBOOK

Object Oriented Programming in C++Object Oriented Programming is a programming in which we design and develop our application or program based of object. Objects are instances(variables) of class.Object oriented programming does not allow data to flow freely around the system. It binds data more closely to the functions that operate on it, and protects it from accidental modifications from outside functions.Object oriented programming allows separation of a complex programs into objects and then builds data and functions around these objects. The data of an object can be accessed only by the functions associated with that object. However, functions of one object can access the functions of other objects.Features of OOP's ( Object Oriented Programming ) Class: Class is an encapsulation of data and coding. Classes are an expanded version of structures. Structure can contain multiple variables. Classes can contain multiple variables, even more, classes can also contain functions as class member. Variables available in class are called Data Members. Functions available in class are called Member Functions. Object: Class is a user-defined data type and object is a variable of class type. Object is used to access class members. Inheritance: Inheritance means access the properties and features of one class into another class. The class who is going to provide its features to another class will be called base class and the class who is using the properties and features of another class will be called derived class. Polymorphism: Polymorphism means more than one function with same name, with different working. It can be static or dynamic. In static polymorphism memory will be allocated at compile time. In dynamic polymorphism memory will be allocated at runtime. Both function overloading and operator overloading are an examples of static polymorphism. Virtual function is an example of dynamic polymorphism. Data Abstraction: The basic idea of data abstraction is to visible only the necessary information, unnecessary information will be hidden from the outside world. This can be done by making class members as private members of class. Private members can be accessed only within the same class where they are declared. Encapsulation: Encapsulation is a process of wrapping data members and member functions in a single unit called class. Using the method of encapsulation, the programmer cannot directly access the data. Data is only accessible through the object of the class.


Book Synopsis Object Oriented Programming in C++ by : Richard Baker

Download or read book Object Oriented Programming in C++ written by Richard Baker and published by . This book was released on 2020-09-25 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Object Oriented Programming in C++Object Oriented Programming is a programming in which we design and develop our application or program based of object. Objects are instances(variables) of class.Object oriented programming does not allow data to flow freely around the system. It binds data more closely to the functions that operate on it, and protects it from accidental modifications from outside functions.Object oriented programming allows separation of a complex programs into objects and then builds data and functions around these objects. The data of an object can be accessed only by the functions associated with that object. However, functions of one object can access the functions of other objects.Features of OOP's ( Object Oriented Programming ) Class: Class is an encapsulation of data and coding. Classes are an expanded version of structures. Structure can contain multiple variables. Classes can contain multiple variables, even more, classes can also contain functions as class member. Variables available in class are called Data Members. Functions available in class are called Member Functions. Object: Class is a user-defined data type and object is a variable of class type. Object is used to access class members. Inheritance: Inheritance means access the properties and features of one class into another class. The class who is going to provide its features to another class will be called base class and the class who is using the properties and features of another class will be called derived class. Polymorphism: Polymorphism means more than one function with same name, with different working. It can be static or dynamic. In static polymorphism memory will be allocated at compile time. In dynamic polymorphism memory will be allocated at runtime. Both function overloading and operator overloading are an examples of static polymorphism. Virtual function is an example of dynamic polymorphism. Data Abstraction: The basic idea of data abstraction is to visible only the necessary information, unnecessary information will be hidden from the outside world. This can be done by making class members as private members of class. Private members can be accessed only within the same class where they are declared. Encapsulation: Encapsulation is a process of wrapping data members and member functions in a single unit called class. Using the method of encapsulation, the programmer cannot directly access the data. Data is only accessible through the object of the class.


A Course in Data Abstraction

A Course in Data Abstraction

Author: Joseph Bergin

Publisher:

Published: 1994-01

Total Pages:

ISBN-13: 9780070049574

DOWNLOAD EBOOK

This text takes a object-oriented approach to teaching data abstraction using C++. It consists of three main sections: an overview, in which the principles of object-oriented design and development are presented; the implementation of the various data abstractions including, approximately 90 classes; and three case studies. The case studies and integrated examples reinforce other computer science topics, and the discussions of finite automata, program translation, and database normalization are intended to introduce concepts that will be discussed again in detail in other courses.


Book Synopsis A Course in Data Abstraction by : Joseph Bergin

Download or read book A Course in Data Abstraction written by Joseph Bergin and published by . This book was released on 1994-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This text takes a object-oriented approach to teaching data abstraction using C++. It consists of three main sections: an overview, in which the principles of object-oriented design and development are presented; the implementation of the various data abstractions including, approximately 90 classes; and three case studies. The case studies and integrated examples reinforce other computer science topics, and the discussions of finite automata, program translation, and database normalization are intended to introduce concepts that will be discussed again in detail in other courses.


Data Abstraction

Data Abstraction

Author: Joseph Bergin

Publisher:

Published: 1994

Total Pages: 696

ISBN-13:

DOWNLOAD EBOOK

This text takes a object-oriented approach to teaching data abstraction using C++. It consists of three main sections: an overview, in which the principles of object oriented design and development are presented; the implementation of the various data abstractions including approximately 90 classes; and three case studies. The case studies and integrated examples reinforce other computer science topics, and the discussions of finite automata, program translation, and database normalization are intended to introduce concepts that will be discussed again in detail in other courses.


Book Synopsis Data Abstraction by : Joseph Bergin

Download or read book Data Abstraction written by Joseph Bergin and published by . This book was released on 1994 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text takes a object-oriented approach to teaching data abstraction using C++. It consists of three main sections: an overview, in which the principles of object oriented design and development are presented; the implementation of the various data abstractions including approximately 90 classes; and three case studies. The case studies and integrated examples reinforce other computer science topics, and the discussions of finite automata, program translation, and database normalization are intended to introduce concepts that will be discussed again in detail in other courses.


Data Abstraction and Problem Solving with C++

Data Abstraction and Problem Solving with C++

Author: Frank M. Carrano

Publisher: Benjamin-Cummings Publishing Company

Published: 1995

Total Pages: 840

ISBN-13:

DOWNLOAD EBOOK

This work provides novice and professional programmers with a bridge from traditional programming methods to the object-oriented techniques available in C++. It clearly explains encapsulation and C++ classes, which are then used throughout to implement abstract data types such as lists, stacks, queues, trees and tables. Inheritance, polymorphism, templates and operator overloading are explained both conceptually and through examples. The work offers early, extensive coverage of recursion and uses the technique through many examples and exercises. It sets out to provide a firm foundation in data abstraction, emphasizing the distinction between specifiation and implementation.


Book Synopsis Data Abstraction and Problem Solving with C++ by : Frank M. Carrano

Download or read book Data Abstraction and Problem Solving with C++ written by Frank M. Carrano and published by Benjamin-Cummings Publishing Company. This book was released on 1995 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides novice and professional programmers with a bridge from traditional programming methods to the object-oriented techniques available in C++. It clearly explains encapsulation and C++ classes, which are then used throughout to implement abstract data types such as lists, stacks, queues, trees and tables. Inheritance, polymorphism, templates and operator overloading are explained both conceptually and through examples. The work offers early, extensive coverage of recursion and uses the technique through many examples and exercises. It sets out to provide a firm foundation in data abstraction, emphasizing the distinction between specifiation and implementation.