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Books > Computing & IT > Computer programming > Programming languages > General
FIELD has been a remarkably successful research project. The ideas first exhibited in the environment now form the basis for most of the current generation of programming environments, including Hewlett-Packard's Softbench, DEC's FUSE, Sun's Tooltalk, Lucid's Energize, and SGI's Codevision. FIELD pioneered the notion of broadcast messaging as a basis for tool integration. Moreover, many of the other tool concepts introduced in FIELD have made their way into these environments. Thus in discussing the FIELD environment, this book actually explains the inner workings of today's programming environments. The book will be valuable for those interested in the development of programming tools and environments, as well as serious users of programming environments. It will also be of interest to anyone undertaking a large software project, both by introducing the software tools needed to work on such a project and by demonstrating the concepts of message-based integration which can be applied to a variety of domains.
The PC Graphics Handbook serves advanced C++ programmers dealing with the specifics of PC graphics hardware and software.
Real Application Clusters (RAC) and the Grid architecture are Oracle's strategy for scaling out enterprise systems to cope with bigger workloads and more users. Many books limit themselves by conceptualizing and theorizing about RAC technology, but this book is the first to portray implementing and administering an Oracle 10"g" RAC system in a Linux environment. This book features basic concepts underlying Linux and Oracle RAC, design strategies, hardware procurement and configuration, and many other topics. The RAC-specific technologies described include configuration of the interconnect, OCFS, ASM, Cluster Ready Services, and Grid Control. The Oracle features RMAN and Data Guard are also discussed, along with available hardware options. The authors include practical examples and configuration information, so that upon reading this book, youll be armed with the information you need to build an Oracle RAC database on Linux, whether it is on a single laptop or a 64-node Itanium cluster.
This text teaches the essentials of C programming, concentrating on what readers need to know in order to produce stand-alone programs and so solve typical scientific and engineering problems. It is a learning-by-doing book, with many examples and exercises, and lays a foundation of scientific programming concepts and techniques that will prove valuable for those who might eventually move on to another language. Written for undergraduates who are familiar with computers and typical applications but are new to programming.
Microsoft Foundation Class (MFC) libraries offer a modular method of development that entails the piecing together of library functions to create a Windows application. MFC is an efficient approach for creating full-scale Windows applications and this is a guide for those not familiar with the object-orientated programming (OOP) methods of C++ as a means to jump-start their Windows applications development. This book presents the principles of C++ that are necessary for an effective MFC programmer including encapsulation, inheritence and polymorphism, and then the book presents MFC projects to give the reader a practical experience in Windows programming.
Unit Integration Testing (UIT) had been a challenge because there was no tool that could help in XHR programming and unit integration validations in an efficient way until Cypress arrived. Cypress started releasing versions in 2015 and became popular in 2018 with version 2.0.0. This book explores Cypress scripts that help implement 'shift left testing', which is a dream come true for many software testers. Shift left occurs in the majority of testing projects, but could not be implemented fully because tools were unavailable and knowledge was lacking about the possibilities of testing early in the life cycle. Shift left is a key testing strategy to help testing teams focus less on defect identifications and more on developing practices to prevent defects. Cypress scripts can help front-end developers and quality engineers to work together to find defects soon after web components are built. These components can be tested immediately after they are built with Cypress Test Driven Development (TDD) scripts. Thus, defects can be fixed straight away during the development stage. Testing teams do not have to worry about finding these same defects in a later development stage because Cypress tests keep verifying components in the later stages. Defect fixing has become much cheaper with Cypress than when other tools are used. The book also covers Behaviour Driven Development (BDD)-based Gherkin scripts and the Cypress Cucumber preprocessor, which can improve test scenario coverage. Automated Software Testing with Cypress is written to fulfil the BDD and TDD needs of testing teams. Two distinct open source repositories are provided in Github to help start running Cypress tests in no time!
The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike standard approaches, it does not focus on any specific language, but aims to explain the underlying ideas. Typically, new concepts are first introduced in the particularly user-friendly Python language and then transferred and extended in various programming environments from C/C++, Julia and MATLAB to Maple and Mathematica. This includes various approaches to distributed computing. By examining and comparing different languages, the book is also helpful for mathematicians and practitioners in deciding which programming language to use for which purposes. At a more advanced level, special tools for the automated solution of partial differential equations using the finite element method are discussed. On a more experimental level, the basic methods of scientific machine learning in artificial neural networks are explained and illustrated.
The purpose of network performance analysis is to investigate how traffic-management mechanisms deployed in the network affect the allocation of resources amongst its users and the performance they experience. This topic can be studied by the construction of models of traffic management mechanisms and observing how they perform by applying them to some flow of network traffic. This useful volume introduces concepts and principles of network performance analysis by example, using the J programming language. J is rich in mathematical functionality, which makes it an ideal tool for analytical methods. The book favours a practical approach and develops functions in J to demonstrate mathematical concepts, thereby enabling readers to explore the underlying principles behind network performance analysis. In addition, this allows the subject to become more accessible to those who, although have a mathematical background, are not pure mathematicians. Topics and features: a [ Uses an example-driven approach to introduce the fundamentals of network performance analysis a [ Provides a concise introduction to the J programming language a [ Presents network calculus as a method for designing and engineering networks a [ Focuses on statistical analysis and stochastic processes a [ Demonstrates how to simulate traffic with both short-range and long-range dependence properties a [ Covers ATM QoS, and examines Internet congestion control Network Performance Analysis will equally appeal to network professionals and postgraduates studying the topic by providing valuable analytical tools and using J as a means of offering a practical treatment of the subject. Dr. Holthas a broad range of industry experience and now regularly lectures on this topic.
Programming Languages: An Active Learning Approach introduces students to three programming paradigms: object-oriented/imperative languages using C++ and Ruby, functional languages using Standard ML, and logic programming using Prolog. This interactive textbook is intended to be used in and outside of class. Each chapter follows a pattern of presenting a topic followed by a practice exercise or exercises that encourage students to try what they have just read. This textbook is best-suited for students with a 2-3 course introduction to imperative programming. Key Features: (1) Accessible structure guides the student through various programming languages. (2) Seamlessly integrated practice exercises. (3) Classroom-tested. (4) Online support materials. Advance praise:
Behavioral Specifications of Businesses and Systems deals with the reading, writing and understanding of specifications. The papers presented in this book describe useful and sometimes elegant concepts, good practices (in programming and in specifications), and solid underlying theory that is of interest and importance to those who deal with increased complexity of business and systems. Most concepts have been successfully used in actual industrial projects, while others are from the forefront of research. Authors include practitioners, business thinkers, academics and applied mathematicians. These seemingly different papers address different aspects of a single problem - taming complexity. Behavioral Specifications of Businesses and Systems emphasizes simplicity and elegance in specifications without concentrating on particular methodologies, languages or tools. It shows how to handle complexity, and, specifically, how to succeed in understanding and specifying businesses and systems based upon precise and abstract concepts. It promotes reuse of such concepts, and of constructs based on them, without taking reuse for granted. Behavioral Specifications of Businesses and Systems is the second volume of papers based on a series of workshops held alongside ACM's annual conference on Object-Oriented Programming Systems Languages and Applications (OOPSLA) and European Conference on Object-Oriented Programming (ECOOP). The first volume, Object-Oriented Behavioral Specifications, edited by Haim Kilov and William Harvey, was published by Kluwer Academic Publishers in 1996.
"Exceptional C++" shows by example how to go about sound software engineering in standard C++. Do you enjoy solving thorny C++ problems and puzzles? Do you relish writing robust and extensible code? Then take a few minutes and challenge yourself with some tough C++ design and programming problems. The puzzles and problems in "Exceptional C++" not only entertain, they will help you hone your skills to become the sharpest C++ programmer you can be. Many of these problems are culled from the famous "Guru of the Week" feature of the Internet newsgroup comp.lang.c++.moderated, expanded and updated to conform to the official ISO/ANSI C++ Standard. Each problem is rated according to difficulty and is designed to illustrate subtle programming mistakes or design considerations. After you've had a chance to attempt a solution yourself, the book then dissects the code, illustrates what went wrong, and shows how the problem can be fixed. Covering a broad range of C++ topics, the problems and solutions address critical issues such as:
Try your skills against the C++ masters and come away with the
insight and experience to create more efficient, effective, robust,
and portable C++ code.
"Handbook of Open Source Tools" introduces a comprehensive collection of advanced open source tools useful in developing software applications. The book contains information on more than 200 open-source tools which include software construction utilities for compilers, virtual-machines, database, graphics, high-performance computing, OpenGL, geometry, algebra, graph theory, GUIs and more. Special highlights for software construction utilities and application libraries are included. Each tool is covered in the context of a real like application development setting. This unique handbook presents a comprehensive discussion of advanced tools, a valuable asset used by most application developers and programmers; includes a special focus on Mathematical Open Source Software not available in most Open Source Software books, and introduces several tools (eg ACL2, CLIPS, CUDA, and COIN) which are not known outside of select groups, but are very powerful. "Handbook of Open Source Tools "is designed for application developers and programmers working with Open Source Tools. Advanced-level students concentrating on Engineering, Mathematics and Computer Science will find this reference a valuable asset as well.
A clear and student-friendly way to teach the fundamentals of C++ Starting Out with C++: From Control Structures through Objects covers control structures, functions, arrays, and pointers before objects and classes in Tony Gaddis's hallmark accessible, step-by-step presentation. His books help beginning students understand the important details necessary to become skilled programmers at an introductory level. Gaddis motivates the study of both programming skills and the C++ programming language by presenting all the details needed to understand the "how" and the "why"-but never losing sight of the fact that most beginners struggle with this material. His approach is gradual and highly accessible, ensuring that students understand the logic behind developing high-quality programs. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, and an abundance of exercises appear in every chapter. Updates to the 9th Edition include revised, improved problems throughout and a new chapter featuring completely rewritten and expanded material on the Standard Template Library (STL).
This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use Python (TM) to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page.Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download. Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.
Program synthesis is a solution to the software crisis. If we had a program that develops correct programs from specifications, then program validation and maintenance would disappear from the software life-cycle, and one could focus on the more creative tasks of specification elaboration, validation, and maintenance, because replay of program development would be less costly. This monograph describes a novel approach to Inductive Logic Programming (ILP), which cross-fertilizes logic programming and machine learning. Aiming at the synthesis of recursive logic programs only, and this from incomplete information, we take a software engineering approach that is more appropriate than a pure artificial intelligence approach. This book is suitable as a secondary text for graduate level courses in software engineering and artificial intelligence, and as a reference for practitioners of program synthesis.
Features Contains ready-to-use coding recipes allowing fast prototyping and solving of mathematical problems using FEM. Suitable for upper-level undergraduates and graduates in applied mathematics, science, or engineering. Both MATLAB and Python programming codes are provided to give readers more flexibility in the practical framework implementation.
Databases have become an integral part of modern life. Today's society is an information-driven society, and database technology has a direct impact on all aspects of daily life. Decisions are routinely made by organizations based on the information collected and stored in databases. Database management systems such as Oracle are crucial to apply data in industrial or commercial systems. Equally crucial is a graphical user interface (GUI) to enable users to access and manipulate data in databases. The Apache NetBeans IDE with Java is an ideal candidate for developing a GUI with programming functionality. Oracle Database Programming with Java: Ideas, Designs, and Implementations is written for college students and software programmers who want to develop practical and commercial database programming with Java and relational databases such as Oracle Database XE 18c. The book details practical considerations and applications of database programming with Java and is filled with authentic examples as well as detailed explanations. Advanced topics in Java Web, like Java Web Applications and Java Web Services, are covered in real project examples to show how to handle the database programming issues in the Apache NetBeans IDE environment. This book features: A real sample database, CSE _ DEPT, which is built with Oracle SQL Developer, provided and used throughout the book Step by step, detailed illustrations and descriptions of how to design and build a practical relational database Fundamental and advanced Java database programming techniques practical to both beginning students and experienced programmers Updated Java desktop and Web database programming techniques, such as Java Enterprise Edition 7, JavaServer Pages, JavaServer Faces, Enterprise Java Beans, Web applications and Web services, including GlassFish and Tomcat Web servers More than 30 real database programming projects with detailed illustrations Actual JDBC APIs and JDBC drivers, along with code explanations Homework and selected solutions for each chapter to strengthen and improve students' learning and understanding of the topics they have studied
This updated and reorganized Fifth edition of Software Testing: A Craftsman's Approach continues to be a valuable reference for software testers, developers, and engineers, by applying the strong mathematics content of previous editions to a coherent treatment of software testing. Responding to instructor and student survey input, the authors have streamlined chapters and examples. The Fifth Edition: Has a new chapter on feature interaction testing that explores the feature interaction problem and explains how to reduce tests Uses Java instead of pseudo-code for all examples including structured and object-oriented ones Presents model-based development and provides an explanation of how to conduct testing within model-based development environments Explains testing in waterfall, iterative, and agile software development projects Explores test-driven development, reexamines all-pairs testing, and explains the four contexts of software testing Thoroughly revised and updated, Software Testing: A Craftsman's Approach, Fifth Edition is sure to become a standard reference for those who need to stay up to date with evolving technologies in software testing.
Delphi is a Windows programming environment, which lets you create self-contained, user friendly Windows applications in a very short time. Your program's windows are 'drawn' on the screen, so that you can always see exactly what the eventual application will look like. This book is aimed at those who are new to programming, or new to Delphi.
This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel functions-Chebyshev, Legendre, Gegenbauer, and Jacobi-are reviewed in some chapters. Moreover, the fractional form of these kernel functions is introduced in the same chapters, and for ease of use for these kernel functions, a tutorial on a Python package named ORSVM is presented. The book also exhibits a variety of applications for support vector algorithms, and in addition to the classification, these algorithms along with the introduced kernel functions are utilized for solving ordinary, partial, integro, and fractional differential equations. On the other hand, nowadays, the real-time and big data applications of support vector algorithms are growing. Consequently, the Compute Unified Device Architecture (CUDA) parallelizing the procedure of support vector algorithms based on orthogonal kernel functions is presented. The book sheds light on how to use support vector algorithms based on orthogonal kernel functions in different situations and gives a significant perspective to all machine learning and scientific machine learning researchers all around the world to utilize fractional orthogonal kernel functions in their pattern recognition or scientific computing problems.
Explains the basic concepts of Python and its role in machine learning Provides comprehensive coverage of feature-engineering including real-time case studies Perceive the structural patterns with reference to data science and statistics and analytics Includes machine learning based structured exercises Appreciates different algorithmic concepts of machine learning including unsupervised, supervised and reinforcement learning
Verification is too often approached in an ad hoc fashion. Visually inspecting simulation results is no longer feasible and the directed test-case methodology is reaching its limit. Moore's Law demands a productivity revolution in functional verification methodology. Writing Testbenches Using SystemVerilog offers a clear blueprint of a verification process that aims for first-time success using the SystemVerilog language. From simulators to source management tools, from specification to functional coverage, from I's and O's to high-level abstractions, from interfaces to bus-functional models, from transactions to self-checking testbenches, from directed testcases to constrained random generators, from behavioral models to regression suites, this book covers it all. Writing Testbenches Using SystemVerilog presents many of the functional verification features that were added to the Verilog language as part of SystemVerilog. Interfaces, virtual modports, classes, program blocks, clocking blocks and others SystemVerilog features are introduced within a coherent verification methodology and usage model. Writing Testbenches Using SystemVerilog introduces the reader to all elements of a modern, scalable verification methodology. It is an introduction and prelude to the verification methodology detailed in the Verification Methodology Manual for SystemVerilog. It is a SystemVerilog version of the author's bestselling book Writing Testbenches: Functional Verification of HDL Models. |
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