Object-oriented C++ Data Structures for Real Programmers
Title | Object-oriented C++ Data Structures for Real Programmers PDF eBook |
Author | Jan L. Harrington |
Publisher | Morgan Kaufmann |
Total Pages | 580 |
Release | 2002 |
Genre | Computers |
ISBN | 9780123264299 |
Data structures play a key role in any serious development project, determining how the program acquires, stores, updates, and processes its in-memory data. Many of the basic techniques for constructing and governing access to data structures are well-documented, but most are structured programming techniques that do not translate well in an object-oriented environment. Object-Oriented C++ Data Structures for Real Programmers corrects this imbalance, teaching experienced C++ and Java developers the most effective methods for designing and implementing highly functional data structures in any type of object-oriented programming effort. The first part of the book introduces the various approaches, focusing on the purposes for which each is most suited. From there, the author examines advanced functionality that can be achieved in a number of ways, helping readers choose and apply the optimal technique. Key Features * Advanced coverage from an accomplished developer and programming author * Written explicitly for experienced object-oriented programmers * Helps you choose the best way to build the desired functionality, then provides the instruction you need to do it * Covers all major data structure approaches, including arrays, vectors, lists, stacks, and queues * Explains how to achieve a wide range of functionality, including data sorting, searching, hashing, dictionaries, and indexes
Objects, Abstraction, Data Structures and Design
Title | Objects, Abstraction, Data Structures and Design PDF eBook |
Author | Elliot B. Koffman |
Publisher | John Wiley & Sons |
Total Pages | 832 |
Release | 2005-10-20 |
Genre | Computers |
ISBN | 0471467553 |
"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.
C++
Title | C++ PDF eBook |
Author | Saumyendra Sengupta |
Publisher | Springer |
Total Pages | 719 |
Release | 2012-12-06 |
Genre | Computers |
ISBN | 1461226368 |
This book provides a broad coverage of fundamental and advanced con cepts of data structures and algorithms. The material presented includes a treatment of elementary data structures such as arrays, lists, stacks, and trees, as well as newer structures that have emerged to support the process ing of multidimensional or spatial data files. These newer structures and algorithms have received increasing attention in recent years in conjunc tion with the rapid growth in computer-aided design, computer graphics, and related fields in which multidimensional data structures are of great interest. Our main objective is to mesh the underlying concepts with application examples that are of practical use and are timely in their implementations. To this end, we have used mainly the Abstract Data Structure (or Abstract Data Type (ADT)) approach to define structures for data and operations. Object-oriented programming (OOP) methodologies are employed to im plement these ADT concepts. In OOP, data and operations for an ADT are combined into a single entity (object). ADTs are used to specifiy the objects-arrays, stacks, queues, trees, and graphs. OOP allows the pro grammer to more closely mimic the real-world applications. This OOP is more structured and modular than previous attempts. OOP has become de facto state-of-the-art in the 1990s.
Data Structures and Object Oriented Programming with C++ (For Anna University)
Title | Data Structures and Object Oriented Programming with C++ (For Anna University) PDF eBook |
Author | Khurana Rohit |
Publisher | Vikas Publishing House |
Total Pages | 628 |
Release | 2010 |
Genre | Computers |
ISBN | 8125939393 |
Data Structures and Object-Oriented Programming with C++ has been specifically designed and written to meet the requirements of the engineering students. This is a core subject in the curriculum of all Computer Science programs. The aim of this book is to help the students develop programming and analytical skills simultaneously such that they are able to design programs with maximum efficiency.C language has been used in the book to permit the execution of basic data structures in a variety of ways. This book also provides an in-depth coverage of object-oriented concepts, such as encapsulation, abstraction, inheritance, polymorphism, message passing and dynamic binding, templates, exception handling, streams and standard template library (STL) in C++.
Data-Oriented Programming
Title | Data-Oriented Programming PDF eBook |
Author | Yehonathan Sharvit |
Publisher | Simon and Schuster |
Total Pages | 422 |
Release | 2022-08-16 |
Genre | Computers |
ISBN | 1617298573 |
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
C++
Title | C++ PDF eBook |
Author | Larry R. Nyhoff |
Publisher | |
Total Pages | 872 |
Release | 1999 |
Genre | Computers |
ISBN |
Emphasizing abstract data types (ADJs) throughout, this work covers the containers and algorithms from the Standard Template Library, introducing the most up-to-date and powerful tools in C++.
Object-Orientation, Abstraction, and Data Structures Using Scala
Title | Object-Orientation, Abstraction, and Data Structures Using Scala PDF eBook |
Author | Mark C. Lewis |
Publisher | CRC Press |
Total Pages | 662 |
Release | 2017-01-06 |
Genre | Computers |
ISBN | 1498732178 |
Praise for the first edition: "The well-written, comprehensive book...[is] aiming to become a de facto reference for the language and its features and capabilities. The pace is appropriate for beginners; programming concepts are introduced progressively through a range of examples and then used as tools for building applications in various domains, including sophisticated data structures and algorithms...Highly recommended. Students of all levels, faculty, and professionals/practitioners. —D. Papamichail, University of Miami in CHOICE Magazine Mark Lewis’ Introduction to the Art of Programming Using Scala was the first textbook to use Scala for introductory CS courses. Fully revised and expanded, the new edition of this popular text has been divided into two books. Object-Orientation, Abstraction, and Data Structures Using Scala, Second Edition is intended to be used as a textbook for a second or third semester course in Computer Science. The Scala programming language provides powerful constructs for expressing both object orientation and abstraction. This book provides students with these tools of object orientation to help them structure solutions to larger, more complex problems, and to expand on their knowledge of abstraction so that they can make their code more powerful and flexible. The book also illustrates key concepts through the creation of data structures, showing how data structures can be written, and the strengths and weaknesses of each one. Libraries that provide the functionality needed to do real programming are also explored in the text, including GUIs, multithreading, and networking. The book is filled with end-of-chapter projects and exercises, and the authors have also posted a number of different supplements on the book website. Video lectures for each chapter in the book are also available on YouTube. The videos show construction of code from the ground up and this type of "live coding" is invaluable for learning to program, as it allows students into the mind of a more experienced programmer, where they can see the thought processes associated with the development of the code. About the Authors Mark Lewis is an Associate Professor at Trinity University. He teaches a number of different courses, spanning from first semester introductory courses to advanced seminars. His research interests included simulations and modeling, programming languages, and numerical modeling of rings around planets with nearby moons. Lisa Lacher is an Assistant Professor at the University of Houston, Clear Lake with over 25 years of professional software development experience. She teaches a number of different courses spanning from first semester introductory courses to graduate level courses. Her research interests include Computer Science Education, Agile Software Development, Human Computer Interaction and Usability Engineering, as well as Measurement and Empirical Software Engineering.