The Fifth Edition features updated information throughout, including new theories and models such as the Healthy Action Process Approach (HAPA) and the Community Readiness Model (CRM), sections on grant writing and preparing a budget, real-life examples of marketing principles and processes, and a new classification system for evaluation approaches and designs. Health Education, Health Promotion, Health Educators, and Program Planning, Models for Program Planning in Health Promotion, Starting the Planning Process, Assessing Needs, Measurement, Measures, Measurement Instruments and Sampling, Mission Statement, Goals, and Objectives, Theories and Models Commonly Used for Health Promotion Interventions, Interventions, Community Organizing and Community Building, Identification and Allocation of Resources, Marketing: Making Sure Programs Respond to Wants and Needs of Consumers, Implementation: Strategies and Associated Concerns, Evaluation: An Overview, Evaluation Approaches and Designs, Data Analysis and Reporting. Intended for those interested in learning the basics of planning, implementing, and evaluating health promotion programs

    Veteran world-renowned author Dan Gookin walks you through everything from getting started with setup and configuration to making the most of your phone's potential with texting, e-mailing, accessing the Internet and social networking sites, using the camera, synching with a PC, downloading apps, and more.Covers all the details of the operating system that applies to every Android phone, including Motorola Droids, HTC devices, Samsung Galaxy S phones, to name a few Walks you through basic phone operations while also encouraging you to explore your phone's full potential Serves as an ideal guide to an inexperienced Android newbie who is enthusiastic about getting a handle on everything an Android phone can do Android Phones For Dummies helps you get smarter with your Android smartphone.

    Information is provided on the fundamental concepts of table and graph design, the numbers and knowledge most suitable for display in a graphic form, the best tabular means to communicate certain ideas, and the component-level aspects of design. Analysts, technicians, and managers will appreciate the solid theory behind this outline for ensuring that tables and graphs present quantitative business information in a truthful, attractive format that facilitates better decision making.

    The author's step-by-step approach helps students negotiate the challenging tasks involved in learning sophisticated GIS software. The fifth edition is updated to follow the new software release of ArcGIS 10. An innovative and unique feature of "Mastering ArcGIS" is its accompanying CD-ROM with narrated video clips that show students exactly how to perform chapter tutorials before attempting an exercise on their own.

    You'll master the Unity toolset from the ground up, adding the skills you need to go from application coder to game developer. Based on Unity version 5.About the BookThis book helps readers build successful games with the Unity game development platform. You will use the powerful C# language, Unity's intuitive workflow tools, and a state-of-the-art rendering engine to build and deploy mobile, desktop, and console games. Unity's single codebase approach minimizes inefficient switching among development tools and concentrates your attention on making great interactive experiences.Unity in Action teaches you how to write and deploy games. You'll master the Unity toolset from the ground up, adding the skills you need to go from application coder to game developer. Each sample project illuminates specific Unity features and game development strategies. As you read and practice, you'll build up a well-rounded skill set for creating graphically driven 2D and 3D game applications.You'll need to know how to program, in C# or a similar OO language. No previous Unity experience or game development knowledge is assumed.

    In this completely updated edition of our best-selling guide to HTML, Web expert and best-selling author Elizabeth Castro uses crystal-clear instructions and friendly prose to introduce you to all of today's HTML and XHTML essentials. Yoursquo;ll learn how to design, structure, and format your Web site. You'll create and use images, links, styles, lists, tables, frames, and forms, and you'll add sound and movies to your site. Finally, you will test and debug your site, and publish it to the Web. Along the way, you'll find extensive coverage of CSS techniques, current browsers (Opera, Safari, Firefox), creating pages for the mobile Web, and more. Visual QuickStart Guide--the quick and easy way to learn! Easy visual approach uses pictures to guide you through HTML and show you what to do. Concise steps and explanations get you up and running in no time. Page for page, the best content and value around. Companion Web site at www.cookwood.com/html offers examples, a lively question-and-answer area, updates, and more. Need to learn HTML fast? This best-selling reference's visual format and step-by-step, task-based instructions will have you up and running with HTML in no time.

    This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9

    Thoroughly updated, this edition offers new, faster techniques for solving differential equations generated by the emergence of high-speed computers.

    Cloud computing is rapidly transitioning from a niche technology embraced by startups and tech-forward companies to the foundation upon which enterprise systems build their future. In order to compete in today’s marketplace, organizations large and small are embracing cloud architectures and practices.

    

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    But as the field evolves, designers enter the field from many disciplines. Practitioners today have enough experience in UI design that they have been exposed to design rules, but it is essential that they understand the psychology behind the rules in order to effectively apply them. In "Designing with the Mind in Mind," Jeff Johnson, author of the best selling "GUI Bloopers," provides designers with just enough background in perceptual and cognitive psychology that UI design guidelines make intuitive sense rather than being just a list of rules to follow. * The first practical, all-in-one source for practitioners on user interface design rules and why, when and how to apply them.* Provides just enough background into the reasoning behind interface design rules that practitioners can make informed decisions in every project.* Gives practitioners the insight they need to make educated design decisions when confronted with tradeoffs, including competing design rules, time constrictions, or limited resources.

    Perhaps you tell yourself to just buckle down and get it all done—skip lunch, work a longer day. Maybe you throw your hands up, recognize you can’t do it all, and just begin fighting the biggest fire or greasing the squeakiest wheel.And yet you know how good it feels on those days when you’re working at peak productivity, taking care of difficult and meaty projects while also knocking off the smaller tasks that have been hanging over your head forever. Those are the times when your day didn’t run you—you ran your day. To have more of those days more often, you need to discover what works for you given your strengths, your preferences, and the things you must accomplish.Whether you’re an assistant or the CEO, whether you’ve been in the workforce for 40 years or are just starting out, this guide will help you be more productive. You’ll discover different ways to:• Motivate yourself to work when you really don’t want to• Take on less, but get more done• Preserve time for your most important work• Improve your focus• Make the most of small pockets of time between meetings• Set boundaries with colleagues—without alienating them• Take time off without tearing your hair outArm yourself with the advice you need to succeed on the job, with the most trusted brand in business. Packed with how-to essentials from leading experts, the HBR Guides provide smart answers to your most pressing work challenges.

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    With an accessible and lively writing style, it introduces modern techniques to what can often be a formal and intimidating subject. Readers are led from the physics of flat spacetime (special relativity), through the intricacies of differential geometry and Einstein's equations, and on to exciting applications such as black holes, gravitational radiation, and cosmology.