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An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.
This volume contains the proceedings of the 2002 symposium Formal Methods th Europe (FME 2002). The symposium was the 11 in a series that began with a VDM Europe symposium in 1987. The symposia are traditionally held every 18 months. In 2002 the symposium was held at the University of Copenhagen, as part of the 2002 Federated Logic Conference (FLoC 2002), which brought - gether in one event seven major conferences related to logic in computer science, as well as their a?liated workshops, tutorials, and tools exhibitions. Formal Methods Europe (www.fmeurope.org) is an independent association which aims to stimulate the use of, and research on, formal methods for software development. FME symposia have been notably successful in bringing together a community of users, researchers, and developers of precise mathematical - thods for software development. The theme of FME 2002 was “Formal Methods: Getting IT Right”. The double meaning was intentional. On the one hand, the theme acknowledged the signi?cant contribution formal methods can make to Information Technology, by enabling computer systems to be described precisely and reasoned about with rigour. On the other hand, it recognized that current formal methods are not perfect, and further research and practice are required to improve their foundations, applicability, and e?ectiveness.
A programming course should concentrate as much as possible on a program's logical structure and design rather than simply show how to write code. The Functional Approach to Programming achieves this aim because logical concepts are evident and programs are transparent so can be written quickly and cleanly. In this book the authors emphasise the notions of function and function application which relate programming to familiar concepts from mathematics and logic. They introduce functional programming via examples but also explain what programs compute and how to reason about them. They show how the ideas can be implemented in the Caml language, a dialect of the ML family, and give examples of how complex programs from a variety of areas (such as arithmetic, tree algorithms, graph algorithms, text parsing and geometry) can be developed in close agreement with their specifications. Many exercises and examples are included throughout the book; solutions are also available.
A Concordance to the Poems of Emily Dickinson is the third volume in the distinguished series "Cornell Concordances." Like the others, it was programmed on an IBM 704 electronic computer and provides an alphabetical list of all significant words—each word given in context. In order to provide variants, it was based on Thomas H. Johnson's three-volume edition of all the known texts of Emily Dickinson's poems. Included are an analytical preface by the editor and an index of words in the order of frequency.
Learn how to program using the updated C++17 language. You'll start with the basics and progress through step-by-step examples to become a working C++ programmer. All you need are Beginning C++17 and any recent C++ compiler and you'll soon be writing real C++ programs. There is no assumption of prior programming knowledge. All language concepts that are explained in the book are illustrated with working program examples, and all chapters include exercises for you to test and practice your knowledge. Code downloads are provided for all examples from the text and solutions to the exercises. This latest edition has been fully updated to the latest version of the language, C++17, and to all conventions and best practices of so-called modern C++. Beginning C++17 also introduces the elements of the C++ Standard Library that provide essential support for the C++17 language. What You'll Learn Define variables and make decisions Work with arrays and loops, pointers and references, strings, and more Write your own functions, types, and operators Discover the essentials of object-oriented programming Use overloading, inheritance, virtual functions and polymorphism Write generic function templates and class templates Get up to date with modern C++ features: auto type declarations, move semantics, lambda expressions, and more Examine the new additions to C++17 Who This Book Is For Programmers new to C++ and those who may be looking for a refresh primer on the C++17 programming language in general.
It takes a week to travel the 8,000 miles overland from Java to Kotlin. If you're an experienced Java developer who has tried the Kotlin language, you were probably productive in about the same time. You'll have found that they do things differently in Kotlin, though. Nullability is important, collections are different, and classes are final by default. Kotlin is more functional, but what does that mean, and how should it change the way that you program? And what about all that Java code that you still have to support? Your tour guides Duncan and Nat first made the trip in 2015, and they've since helped many teams and individuals follow in their footsteps. Travel with them as they break the route down into legs like Optional to Nullable, Beans to Values, and Open to Sealed Classes. Each explains a key concept and then shows how to refactor production Java to idiomatic Kotlin, gradually and safely, while maintaining interoperability. The resulting code is simpler, more expressive, and easier to change. By the end of the journey, you'll be confident in refactoring Java to Kotlin, writing Kotlin from scratch, and managing a mixed language codebase as it evolves over time.
Design and code your own 2D and 3D games efficiently using OpenGL and C++ About This Book Create 2D and 3D games completely, through a series of end-to-end game projects Learn to render high performance 2D and 3D graphics using OpenGL Implement a rudimentary game engine using step-by-step code Who This Book Is For If you are a prospective game developer with some experience using C++, then this book is for you. Both prospective and experienced game programmers will find nuggets of wisdom and practical advice as they learn to code two full games using OpenGL, C++, and a host of related tools. What You Will Learn Set up your development environment in Visual Studio using OpenGL Use 2D and 3D coordinate systems Implement an input system to handle the mouse and the keyboard Create a state machine to handle complex changes in the game Load, display, and manipulate both 2D and 3D graphics Implement collision detection and basic physics Discover the key components needed to complete a polished game Handle audio files and implement sound effects and music In Detail OpenGL is one of the most popular rendering SDKs used to develop games. OpenGL has been used to create everything from 3D masterpieces running on desktop computers to 2D puzzles running on mobile devices. You will learn to apply both 2D and 3D technologies to bring your game idea to life. There is a lot more to making a game than just drawing pictures and that is where this book is unique! It provides a complete tutorial on designing and coding games from the setup of the development environment to final credits screen, through the creation of a 2D and 3D game. The book starts off by showing you how to set up a development environment using Visual Studio, and create a code framework for your game. It then walks you through creation of two games–a 2D platform game called Roboracer 2D and a 3D first-person space shooter game–using OpenGL to render both 2D and 3D graphics using a 2D coordinate system. You'll create sprite classes, render sprites and animation, and navigate and control the characters. You will also learn how to implement input, use audio, and code basic collision and physics systems. From setting up the development environment to creating the final credits screen, the book will take you through the complete journey of creating a game engine that you can extend to create your own games. Style and approach An easy-to-follow guide full of code examples to illustrate every concept and help you build a 2D and 3D game from scratch, while learning the key tools that surround a typical OpenGL project.
Despite using them every day, most software engineers know little about how programming languages are designed and implemented. For many, their only experience with that corner of computer science was a terrifying "compilers" class that they suffered through in undergrad and tried to blot from their memory as soon as they had scribbled their last NFA to DFA conversion on the final exam. That fearsome reputation belies a field that is rich with useful techniques and not so difficult as some of its practitioners might have you believe. A better understanding of how programming languages are built will make you a stronger software engineer and teach you concepts and data structures you'll use the rest of your coding days. You might even have fun. This book teaches you everything you need to know to implement a full-featured, efficient scripting language. You'll learn both high-level concepts around parsing and semantics and gritty details like bytecode representation and garbage collection. Your brain will light up with new ideas, and your hands will get dirty and calloused. Starting from main(), you will build a language that features rich syntax, dynamic typing, garbage collection, lexical scope, first-class functions, closures, classes, and inheritance. All packed into a few thousand lines of clean, fast code that you thoroughly understand because you wrote each one yourself.
In Assessment and Intervention for Executive Function Difficulties, McCloskey, Perkins, and Diviner provide a unique blend of theory, research, and practice that offers clinicians an overarching framework for the concept of executive functions (EFs) in educational settings. The conceptual model of executive functions is detailed, including their role in behavior, learning, and production across all settings. The heart of the book focus on the practical issues involved in the use of assessment tools, tests, report writing, and the implementation and follow-up of targeted interventions using the EF model. Six case studies are introduced in Chapter 1 and followed throughout the book, building understanding of the executive function difficulties of each child, assessment for identifying the difficulties, and interventions for dealing with the difficulties. An additional case study is discussed in detail in one of the concluding chapters, and a companion CD will provide the practitioner with a wealth of assessment forms, parent and teacher handouts, behavior tracking charts, and report/documentation forms.
Learn the nitty-gritty of Python 3 programming language by coding and executing programs seamlessly in a lucid manner KEY FEATURES ● Python 3 fundamentals, from data manipulation to control flow. ● Key concepts like data structures, algorithms, and Python applications, catering to a diverse audience. ● Beginner-friendly guide with step-by-step explanations and practical examples. DESCRIPTION Python 3's clear and concise syntax and extensive collection of built-in libraries and frameworks make it a powerful and versatile programming language. This comprehensive guide, "Mastering Python 3 Programming", is designed to take you from the ground up to proficiency, equipping you to create effective Python programs. This book provides an extensive overview of Python programming, covering a diverse range of topics essential for understanding Python 3. Each chapter explores key concepts like Unicode strings, functions and recursions, lists, tuples, sets, and dictionaries, along with advanced topics such as object-oriented programming, file handling, exception handling, and more. With detailed explanations and real-life examples, you will be able to build a strong understanding of Python 3. Throughout the book, you will find useful concepts and Python libraries explained clearly, along with case studies, executable programs, exercises, and easy-to-follow style. This book focuses on real-world Python applications, developing critical thinking and problem-solving skills. It prepares students for Python challenges, equipping them to contribute meaningfully in their fields. With a deep understanding of Python, students gain confidence to explore new opportunities and drive innovation. WHAT YOU WILL LEARN ● Set up IDLE for Python programming and execute programs. ● Adapt algorithm based problem-solving techniques. ● Utilize Python libraries for data visualization. ● Grasp data structures and common algorithms. ● Master decorators, file handling, exception handling, inheritance, polymorphism, and recursion in Python. WHO THIS BOOK IS FOR The target audience for this book includes undergraduate students from diverse academic backgrounds, including life sciences, mathematics, commerce, management, arts, and individuals who are new to computer science. TABLE OF CONTENTS 1. Introduction to Python 3 2. Algorithmic Problem Solving 3. Numeric Computations and Console Input 4. Unicode, Strings and Console Output 5. Selection and Loops 6. Functions and Recursion 7. Lists 8. Tuples, Sets, and Dictionaries 9. Introduction to Object-Oriented Programming 10. Inheritance and Polymorphism 11. File Handling 12. Exception Handling 13. Gems of Python 14. Data Structures and Algorithms using Python 15. Data Visualization 16. Python Applications and Libraries Appendix 1: Python Projects Appendix 2: List of Built-in Functions in Python Appendix 3: Answers to Review Questions