Proudly presenting the latest edition of one of the all-time bestselling books on the C++ language, successful author Ivor Horton repeats the formula that has made each previous edition so popular by teaching you both the standard C++ language and C++/CLI as well as Visual C++ 2008. Thoroughly updated for the 2008 release, this book shows you how to build real-world applications using Visual C++ and guides you through the ins and outs of C++ development. With this book by your side, you are well on your way to becoming a successful C++ programmer.

Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.

Scala is now an established programming language developed by Martin Oderskey and his team at the EPFL. The name Scala is derived from Sca(lable) La(nguage). Scala is a multi-paradigm language, incorporating object oriented approaches with functional programming. Although some familiarity with standard computing concepts is assumed (such as the idea of compiling a program and executing this compiled from etc.) and with basic procedural language concepts (such as variables and allocation of values to these variables) the early chapters of the book do not assume any familiarity with object orientation nor with functional programming These chapters also step through other concepts with which the reader may not be familiar (such as list processing). From this background, the book provides a practical introduction to both object and functional approaches using Scala. These concepts are introduced through practical experience taking the reader beyond the level of the language syntax to the philosophy and practice of object oriented development and functional programming. Students and those actively involved in the software industry will find this comprehensive introduction to Scala invaluable.

This book explores the concepts of object-oriented programming, which have become the cornerstone of most programming languages. The book introduces the meaning of classes and objects, inheritance, encapsulation, and polymorphism. It also contains examples of Unified Modeling Language (UML) that enable the reader to model systems. The book explains these concepts in a simple manner and includes the application of these concepts through a large number of examples in three different programming languages: C#, VB.Net, and Python. The concepts introduced in the book are applicable to any programming language which supports object-oriented programming. The book is an indispensable resource that will enhance its readers’ system development skills.

SQL Server 2008 introduces many new features that will change database administration procedures; many DBAs will be forced to migrate to SQL Server 2008. This book teaches you how to develop the skills required to successfully administer a SQL Server 2008 database; no prior experience is required. The material covers system installation and configuration/architecting, implementing and monitoring security controls, configuring and managing network communications, automating administration tasks, disaster prevention and recovery, performance monitoring, optimizing and ensuring high availability, as well as major SQL Server 2008 components including Integration Services, Reporting Services, Analysis Services, and Service Broker.

Object-Based Learning and Well-Being provides the first explicit analysis of the combined learning and well-being benefits of working with material culture and curated collections. Following on from the widely acclaimed Engaging the Senses, this volume explicitly explores the connection between the value of material culture for both learning and well-being. Bringing together experts and practitioners from eight countries on four continents, the book analyses the significance of curated collections for structured cultural interventions that may bring both educational and well-being benefits. Topics covered include the role of material culture in relation to mental health; sensory impairments; and general student and teacher well-being. Contributors also consider how collections can be employed to positively address questions of identity and belonging relating to marginalisation, colonialism and forced displacement. Object-Based Learning and Well-Being should be a key first point of reference for academics and students who are engaged in the study of object-based learning, museums, heritage, health and well-being. The book will be of particular interest to practitioners working in higher education, or those working in the cultural, heritage, museums and health sectors.

Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques About This Book Gain insight into how data scientists collect, process, analyze, and visualize data using some of the most popular R packages Understand how to apply useful data analysis techniques in R for real-world applications An easy-to-follow guide to make the life of data scientist easier with the problems faced while performing data analysis Who This Book Is For This book is for those who are already familiar with the basic operation of R, but want to learn how to efficiently and effectively analyze real-world data problems using practical R packages. What You Will Learn Get to know the functional characteristics of R language Extract, transform, and load data from heterogeneous sources Understand how easily R can confront probability and statistics problems Get simple R instructions to quickly organize and manipulate large datasets Create professional data visualizations and interactive reports Predict user purchase behavior by adopting a classification approach Implement data mining techniques to discover items that are frequently purchased together Group similar text documents by using various clustering methods In Detail This cookbook offers a range of data analysis samples in simple and straightforward R code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently. The first section deals with how to create R functions to avoid the unnecessary duplication of code. You will learn how to prepare, process, and perform sophisticated ETL for heterogeneous data sources with R packages. An example of data manipulation is provided, illustrating how to use the “dplyr” and “data.table” packages to efficiently process larger data structures. We also focus on “ggplot2” and show you how to create advanced figures for data exploration. In addition, you will learn how to build an interactive report using the “ggvis” package. Later chapters offer insight into time series analysis on financial data, while there is detailed information on the hot topic of machine learning, including data classification, regression, clustering, association rule mining, and dimension reduction. By the end of this book, you will understand how to resolve issues and will be able to comfortably offer solutions to problems encountered while performing data analysis. Style and approach This easy-to-follow guide is full of hands-on examples of data analysis with R. Each topic is fully explained beginning with the core concept, followed by step-by-step practical examples, and concluding with detailed explanations of each concept used.