Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. The book explains how anyone can use OpenACC to quickly ramp-up application performance using high-level code directives called pragmas. The OpenACC directive-based programming model is designed to provide a simple, yet powerful, approach to accelerators without significant programming effort. Author Rob Farber, working with a team of expert contributors, demonstrates how to turn existing applications into portable GPU accelerated programs that demonstrate immediate speedups. The book also helps users get the most from the latest NVIDIA and AMD GPU plus multicore CPU architectures (and soon for Intel (R) Xeon Phi (TM) as well). Downloadable example codes provide hands-on OpenACC experience for common problems in scientific, commercial, big-data, and real-time systems. Topics include writing reusable code, asynchronous capabilities, using libraries, multicore clusters, and much more. Each chapter explains how a specific aspect of OpenACC technology fits, how it works, and the pitfalls to avoid. Throughout, the book demonstrates how the use of simple working examples that can be adapted to solve application needs.

Write Powerful, Modern C++ Code for Scientific, Engineering, and Embedded Applications Discovering Modern C++, Second Edition, will help you master valuable skills for programming with C++ at nearly every level, from "close to the hardware" to high-level abstractions. Updated for C++17 and C++ 20, this intensive introduction teaches C++ using realistic examples from diverse technical problem domains. Drawing on extensive experience teaching C++ to physicists, mathematicians, engineers, and students, Peter Gottschling guides you smoothly to sophisticated approaches based on advanced features. Whatever your programming experience, you'll rapidly master increasingly powerful features, from lambdas to expression and variadic templates. Gottschling also shows you how to apply C++'s libraries: both the Standard Template Library (STL) and scientific libraries for arithmetic, linear algebra, differential equations, and graphs. Step by step, you'll learn to write clear and expressive code using object orientation, generics, metaprogramming, and procedural techniques, and master all the abstractions you need to write high-quality, well-performing software. Quickly master core features: variables, operators, expressions, statements, functions, error handling, I/O, arrays, pointers, references, and more Make the most of classes and object-oriented programming, from constructors/destructors to operator overloading and multiple inheritance Apply advanced generic programming and template-based techniques Use C++'s libraries to write more robust and powerful code more quickly Explore metaprogramming in depth, and master cutting-edge optimization techniques Walk through representative scientific projects, and create your own Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Formal and Practical Aspects of Domain-Specific Languages: Recent Developments is a collection of academic works containing current research on all aspects of domain-specific language. This book is a comprehensive overview in the computer language field and aims to be essential for scholars and practitioners in the software engineering fields by providing new results and answers to open problems in DSL research.

"In this day and age of 'too much information and not enough time, ' the ability to get to the bottom line quickly and in a concise method is what excels companies to the top of their industry. The techniques in this book will allow you to do things you only dreamt of." -Jerry Kohl, president of Brighton Collectibles Develop your Excel macro programming skills using VBA instantly with proven techniques Automate Reports Handle Errors Master Pivot Tables Produce Charts Build User-Defined Functions Migrate to Excel 2007 Query Web Data Build Dialog Boxes Use Data Visualizations Automate Word You are an expert in Excel, but the macro recorder doesn't work and you can't make heads or tails out of the recorded code. If this is you, buy this book. Macros that you record today might work today but not tomorrow. Recorded macros might handle a dataset with 14 records but not one with 12 or 16 records. These are all common problems with the macro recorder that unfortunately cause too many Excel gurus to turn away from writing macros. This book shows you why the macro recorder fails and the steps needed to convert recorded code into code that will work every day with every dataset. The book assumes that you know Excel well, but there is no need for prior programming experience. This book describes everything you could conceivably need to know to automate reports and design applications in Excel VBA. Whether you want to automate reports for your office or design full-blown applications for others, this book is for you.

• Learn VBA syntax as easy-to-understand English
• Automate Excel's power tools: Pivot Tables, Charts, Advanced Filters
• Save hours per week by automating redundanttasks
• Create applications built on top of Excel with custom dialog boxes
• Automatically produce hundreds of Excel reports in seconds
• Understand how changes in Excel 2007 impact your VBA macros

Introduction 1 1 Unleash the Power of Excel with VBA 7 2 This Sounds Like BASIC, So Why Doesn't It Look Familiar? 29 3 Referring to Ranges 61 4 User-Defined Functions 75 5 Looping and Flow Control 101 6 R1C1-Style Formulas 121 7 What's New in Excel 2007 and What's Changed 135 8 Create and Manipulate Names in VBA 143 9 Event Programming 155 10 UserForms--An Introduction 177 11 Creating Charts 197 12 Data Mining with Advanced Filter 249 13 Using VBA to Create Pivot Tables 281 14 Excel Power 337 15 Data Visualizations and Conditional Formatting 373 16 Reading from and Writing to the Web 393 17 XML in Excel 2007 413 18 Automating Word 421 19 Arrays 441 20 Text File Processing 449 21 Using Access as a Back End to Enhance Multi-User Access to Data 461 22 Creating Classes, Records, and Collections 477 23 Advanced UserForm Techniques 493 24 Windows Application Programming Interface (API) 517 25 Handling Errors 529 26 Customizing the Ribbon to Run Macros 543 27 Creating Add-Ins 569 Index 577

Coinduction is a method for specifying and reasoning about infinite data types and automata with infinite behaviour. In recent years, it has come to play an ever more important role in the theory of computing. It is studied in many disciplines, including process theory and concurrency, modal logic and automata theory. Typically, coinductive proofs demonstrate the equivalence of two objects by constructing a suitable bisimulation relation between them. This collection of surveys is aimed at both researchers and Master's students in computer science and mathematics and deals with various aspects of bisimulation and coinduction, with an emphasis on process theory. Seven chapters cover the following topics: history, algebra and coalgebra, algorithmics, logic, higher-order languages, enhancements of the bisimulation proof method, and probabilities. Exercises are also included to help the reader master new material.

Tackle some of the biggest challenges in learning Functional Programming with this modern, up-to-date approach. Objects First with Java: A Practical Introduction, Global Edition, 6th Edition by Barnes and Koelling is an introduction to object-oriented programming, examining various programming concepts from a software engineering perspective. Ideal for beginners but also more advanced students and professional programmers, the book begins with introductory chapters for students without any programming experience, with later chapters more suitable for advanced or professional programmers. This latest edition goes beyond just adding the new language constructs of Java 8. The book's exploration of this new language demonstrates a renaissance of new functional ideas and techniques in modern programming, taking advantage of the boost in their popularity, in line with the new computing hardware available and the changing nature of current issues. Key features include: Extensive use of the Java programming language and BlueJ - the Java interactive development environment. Clear visualisation of BlueJ's classes and objects, allows you to gain a much better understanding of the differences than simply reading source code. Chapters are ordered by software development concepts instead of language features, like in traditional textbooks. Functional programming has become an essential part of the field. This industry-leading text will take you from the first steps of learning objects to more sophisticated concepts and will help you explore and master the mechanics of running a program successfully.

Jump-start your career as a data scientist--learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that's dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn't cover SQL broadly. Instead, you'll learn the subset of SQL skills that data analysts and data scientists use frequently. You'll also gain practical advice and direction on "how to think about constructing your dataset." Gain an understanding of relational database structure, query design, and SQL syntax Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms Review strategies and approaches so you can design analytical datasets Practice your techniques with the provided database and SQL code In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner's perspective, moving your data scientist career forward!