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A Structured Programming Approach To Data
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Book Synopsis Computer Science by : Behrouz A. Forouzan
Download or read book Computer Science written by Behrouz A. Forouzan and published by Thomson Brooks/Cole. This book was released on 2004 with total page 1060 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the tenet that good habits are formed early, the authors consistently emphasize the principles of structured programming and software engineering. Every complete programme uses a consistent style and as programmes are analyze, styles and standards are further explained.
Book Synopsis A Structured Programming Approach to Data by : COLEMAN
Download or read book A Structured Programming Approach to Data written by COLEMAN and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much of current programming practice is basically empirical and ad hoc in approach. Each problem is tackled without relation to those that have gone before; experiences are made and stored as a series of fragments. Now, under the pressure of events, this unsatisfactory state of affairs is coming to an end. Programming is becoming a technology, a theory known as structured programming is developing. The purpose of a theory is to categorise and explain existing practice, thus enabling it to be improved through the development of new and sharper techniques. The resulting experiences have then to be fed back into the theory so that the process of enrichment may continue. This dialectical relationship between theory and practice is essential to a healthy programming technology. The lack of such a relationship in the 1950s and 60s and the accompanying software crisis certainly confirm the converse of this proposition. My aim in writing this book has been to explain the current state of the theory of structured programming, so that it may be used to improve the reader's practice. The book deals with two facets of programming - how to design a program in terms of abstract data structures and how to represent the data structures on real and bounded computers. The separation between program design and data structure representation leads to more reliable and flexible programs.
Book Synopsis Programming Fundamentals by : Kenneth Leroy Busbee
Download or read book Programming Fundamentals written by Kenneth Leroy Busbee and published by . This book was released on 2018-01-07 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Fundamentals - A Modular Structured Approach using C++ is written by Kenneth Leroy Busbee, a faculty member at Houston Community College in Houston, Texas. The materials used in this textbook/collection were developed by the author and others as independent modules for publication within the Connexions environment. Programming fundamentals are often divided into three college courses: Modular/Structured, Object Oriented and Data Structures. This textbook/collection covers the rest of those three courses.
Book Synopsis A Structured Programming Approach to Data by : Derek Coleman
Download or read book A Structured Programming Approach to Data written by Derek Coleman and published by . This book was released on 1983 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Structured Programming Approach to Data by : D. Coleman
Download or read book A Structured Programming Approach to Data written by D. Coleman and published by . This book was released on 1981 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Structured Parallel Programming by : Michael McCool
Download or read book Structured Parallel Programming written by Michael McCool and published by Elsevier. This book was released on 2012-06-25 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers
Book Synopsis A Practical Approach to Data Structure and Algorithm with Programming in C by : Akhilesh Kumar Srivastava
Download or read book A Practical Approach to Data Structure and Algorithm with Programming in C written by Akhilesh Kumar Srivastava and published by Arcler Press. This book was released on 2019-11 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Practical Approach to Data Structure and Algorithm with Programming in C discusses about how data structure and algorithm plays out with programming in C. This book comprises topics such as algorithm writing and array. This book sheds light on topics such as searching algorithms, searching algorithms and heap & heap sort in terms of data structure. Readers have also provided insights about basic as well as advanced level information about types of arrays, space complexity of recursive algorithm and primitive operations on array. There is also a discussion about the applications and implementation of the above-mentioned factors in this book.
Book Synopsis R for Data Science by : Hadley Wickham
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Book Synopsis Programming with Data by : John M. Chambers
Download or read book Programming with Data written by John M. Chambers and published by Springer Science & Business Media. This book was released on 1998-06-19 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a thorough and authoritative guide to the latest version of the S language and its programming environment. Programming With Data describes a new and greatly extended version of S, written by the chief designer of the language itself. It is a guide to the complete programming process, starting from simple, interactive use, and continuing through ambitious software projects. The focus is on the needs of the programmer/user, with the aim of turning ideas into software, quickly and faithfully. The new version of S provides a powerful class/method structure, new techniques to deal with large objects, extended interfaces to other languages and files, object-based documentation compatible with HTML, and powerful new interactive programming techniques. This version of S underlies the S-Plus system, versions 5.0 and higher.
Book Synopsis R Programming: An Approach to Data Analytics by : G. Sudhamathy, C. Jothi Venkateswaran
Download or read book R Programming: An Approach to Data Analytics written by G. Sudhamathy, C. Jothi Venkateswaran and published by MJP Publisher. This book was released on 2019-06-03 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 1 - Basics of R, Chapter 2 - Data Types in R , Chapter 3 - Data Preparation. Chapter 4 - Graphics using R, Chapter 5 - Statistical Analysis Using R, Chapter 6 - Data Mining Using R, Chapter 7 - Case Studies. Huge volumes of data are being generated by many sources like commercial enterprises, scientific domains and general public daily. According to a recent research, data production will be 44 times greater in 2020 than it was in 2010. Data being a vital resource for business organizations and other domains like education, health, manufacturing etc., its management and analysis is becoming increasingly important. This data, due to its volume, variety and velocity, often referred to as Big Data, also includes highly unstructured data in the form of textual documents, web pages, graphical information and social media comments. Since Big Data is characterised by massive sample sizes, high dimensionality and intrinsic heterogeneity, traditional approaches to data management, visualisation and analytics are no longer satisfactorily applicable. There is therefore an urgent need for newer tools, better frameworks and workable methodologies for such data to be appropriately categorised, logically segmented, efficiently analysed and securely managed. This requirement has resulted in an emerging new discipline of Data Science that is now gaining much attention with researchers and practitioners in the field of Data Analytics.
Book Synopsis Programming Distributed Computing Systems by : Carlos A. Varela
Download or read book Programming Distributed Computing Systems written by Carlos A. Varela and published by MIT Press. This book was released on 2013-05-31 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to fundamental theories of concurrent computation and associated programming languages for developing distributed and mobile computing systems. Starting from the premise that understanding the foundations of concurrent programming is key to developing distributed computing systems, this book first presents the fundamental theories of concurrent computing and then introduces the programming languages that help develop distributed computing systems at a high level of abstraction. The major theories of concurrent computation—including the π-calculus, the actor model, the join calculus, and mobile ambients—are explained with a focus on how they help design and reason about distributed and mobile computing systems. The book then presents programming languages that follow the theoretical models already described, including Pict, SALSA, and JoCaml. The parallel structure of the chapters in both part one (theory) and part two (practice) enable the reader not only to compare the different theories but also to see clearly how a programming language supports a theoretical model. The book is unique in bridging the gap between the theory and the practice of programming distributed computing systems. It can be used as a textbook for graduate and advanced undergraduate students in computer science or as a reference for researchers in the area of programming technology for distributed computing. By presenting theory first, the book allows readers to focus on the essential components of concurrency, distribution, and mobility without getting bogged down in syntactic details of specific programming languages. Once the theory is understood, the practical part of implementing a system in an actual programming language becomes much easier.
Book Synopsis DATA STRUCTURES A PROGRAMMING APPROACH WITH C by : DHARMENDER SINGH KUSHWAHA
Download or read book DATA STRUCTURES A PROGRAMMING APPROACH WITH C written by DHARMENDER SINGH KUSHWAHA and published by PHI Learning Pvt. Ltd.. This book was released on 2014-10-01 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: This well-organized book, now in its second edition, discusses the fundamentals of various data structures using C as the programming language. Beginning with the basics of C, the discussion moves on to describe Pointers, Arrays, Linked lists, Stacks, Queues, Trees, Heaps, Graphs, Files, Hashing, and so on that form the base of data structure. It builds up the concept of Pointers in a lucid manner with suitable examples, which forms the crux of Data Structures. Besides updated text and additional multiple choice questions, the new edition deals with various classical problems such as 8-queens problem, towers of Hanoi, minesweeper, lift problem, tic-tac-toe and Knapsack problem, which will help students understand how the real-life problems can be solved by using data structures. The book exhaustively covers all important topics prescribed in the syllabi of Indian universities/institutes, including all the Technical Universities and NITs. Primarily intended as a text for the undergraduate students of Engineering (Computer Science/Information Technology) and postgraduate students of Computer Application (MCA) and Computer Science (M.Sc.), the book will also be of immense use to professionals engaged in the field of computer science and information technology. Key Features • Provides more than 160 complete programs for better understanding. • Includes over 470 MCQs to cater to the syllabus needs of GATE and other competitive exams. • Contains over 500 figures to explain various algorithms and concepts. • Contains solved examples and programs for practice. • Provides companion CD containing additional programs for students’ use.
Book Synopsis Introduction to Programming in Python by : Robert Sedgewick
Download or read book Introduction to Programming in Python written by Robert Sedgewick and published by Addison-Wesley Professional. This book was released on 2015-05-27 with total page 1487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.
Download or read book Software Engineering written by Doug Bell and published by Addison Wesley. This book was released on 2000 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software Engineering: A Programming Approach provides a unique introduction to software engineering for all students of computer science and its related disciplines. It is also ideal for practitioners in the software industry who wish to keep track of new developments in the discipline. The third edition is an update of the original text written by Bell, Morrey and Pugh and further develops the programming approach taken by these authors. The new edition however, being updated by a single author, presents a more coherent and fully integrated text. It also includes recent developments in the field and new chapters include those on: formal development, software management, prototyping, process models and user interface design. The programming approach emphasized in this text builds on the readerAs understanding of small-scale programming and extends this knowledge into the realm of large-scale software engineering. This helps the student to understand the current challenges of software engineering as well as developing an understanding of the broad range of techniques and tools that are currently available in the industry. Particular features of the third edition are: - a pragmatic, non-mathematical approach - an overview of the software development process is included - self-test questions in each chapter ensure understanding of the topic - extensive exercises are provided at the end of each chapter - an accompanying website extends and updates material in the book - use of Java throughout as an illustrative programming language - consistent use of UML as a design notation Douglas Bell is a lecturer at Sheffield Hallam University, England. He hasauthored and co-authored a number of texts including, most recently, Java for Students.
Book Synopsis Structured Programming with C++ by :
Download or read book Structured Programming with C++ written by and published by Bookboon. This book was released on with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Common-Sense Guide to Data Structures and Algorithms, Second Edition by : Jay Wengrow
Download or read book A Common-Sense Guide to Data Structures and Algorithms, Second Edition written by Jay Wengrow and published by Pragmatic Bookshelf. This book was released on 2020-08-10 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.
Download or read book Using C++ written by Julien O. Hennefeld and published by Thomson Brooks/Cole. This book was released on 2002 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textAEs secret to success is the unique way that it fosters active participation by the reader, and its teaching of problem solving skills in conjunction with a thorough introduction to the C++ language.Hennefeld, Baker, and Burchard quickly get students actively involved in writing programs by using a four-step problem-solving methodology that is introduced in Chapter 1. This approach is used throughout the book in worked examples and programs that the students write. The authors also emphasize functions as a powerful way of breaking down problems into small sub-tasks. In addition, programming concepts and syntax are introduced within the framework of examples so students can see immediately how the programming structure is used.The authors also provide a thorough introduction to the C++ language, first covering procedural aspects to allow students to grasp basic syntax without getting bogged down in details of the object-oriented paradigm. Later, object-oriented features are introduced with great care over three chaptersuthe first devoted to writing client programs for preexisting classes, the second on the syntax for implementing classes, and the third on designing classes for specific programming problems. Effective use of pedagogical devices that foster active reading round out the approach that has proven to be so successful in helping students learn a large subset of the C++ language."
