This practical guide explains how to create and use personas to make your site more successful. The User Is Always Right: A Practical Guide to Creating and Using Personas takes you through each step of persona creation, including tips for conducting qualitative user research, new ways to apply quantitative research (such as surveys) to persona creation, various methods for generating persona segmentation, and proven techniques for making personas realistic. You'll also learn how to use personas effectively, from directing overall business strategy and prioritizing features and content to making detailed decisions about information architecture, content, and design.

    Much as Brainiac offered a behind-the-scenes look at the little-known demimonde of competitive trivia buffs, Maphead finally gives equal time to that other downtrodden underclass: America's map nerds.In a world where geography only makes the headlines when college students are (endlessly) discovered to be bad at it, these hardy souls somehow thrive. Some crisscross the map working an endless geographic checklist: visiting all 3,143 U.S. counties, for example, or all 936 UNESCO World Heritage Sites. Some pore over million-dollar collections of the rarest maps of the past; others embrace the future by hunting real-world cartographic treasures like "geocaches" or "degree confluences" with GPS device in hand. Some even draw thousands of their own imaginary maps, lovingly detailing worlds that never were.Ken Jennings was a map nerd from a young age himself, you will not be surprised to learn, even sleeping with a bulky Hammond atlas at the side of his pillow, in lieu of the traditional Teddy bear. As he travels the nation meeting others of his tribe--map librarians, publishers, "roadgeeks," pint-sized National Geographic Bee prodigies, the computer geniuses behind Google Maps and other geo-technologies--he comes to admire these geographic obsessives. Now that technology and geographic illiteracy are increasingly insulating us from the lay of the land around us, we are going to be needing these people more than ever. Mapheads are the ones who always know exactly where they are--and where everything else is as well.

    Finding patterns and making meaningful connections inside complex data networks has emerged as one of the biggest challenges of the twenty-first century. In recent years, designers, researchers, and scientists have begun employing an innovative mix of colors, symbols, graphics, algorithms, and interactivity to clarify, and often beautify, the clutter. From representing networks of friends on Facebook to depicting interactions among proteins in a human cell, Visual Complexity presents one hundred of the most interesting examples of information-visualization by the field's leading practitioners.

    In this practical guide, author Amir Shevat shows you how to design and build great conversational experiences and delightful bots that makes people s life more fun and productive.You ll explore several real-world bot examples to understand what works and what doesn t, and learn practical design patterns for your own bot-building toolbox. This book is ideal for beginners and intermediate designers, as well as senior professionals exploring the conversational user experience paradigm. No coding experience or prior knowledge of conversational UI is required.Learn what bots are, and understand bot types and major components that compose a botExplore different use-cases of bots and best practices around these use casesExamine real-life examples and learn from their experienceUnderstand the bot anatomy (Onboarding, Notifications, Conversations, Advance UI controls) and their associated design patternsPrototype your own first bot and experiment with user feedback"

    Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of "Learning Python" puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. "Learning Python," Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of "Learning Python" also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of "Learning Python" gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding."Learning Python," Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then "Learning Python," Second Edition is your best choice.

    Witty, commonsensical, and eminently practical, it’s one of the best-loved and most recommended books on the subject.In this 3rd edition, Steve returns with fresh perspective to reexamine the principles that made Don’t Make Me Think a classic-–with updated examples and a new chapter on mobile usability. And it’s still short, profusely illustrated…and best of all–fun to read.If you’ve read it before, you’ll rediscover what made Don’t Make Me Think so essential to Web designers and developers around the world. If you’ve never read it, you’ll see why so many people have said it should be required reading for anyone working on Web sites.

    Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.

    Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran

    It’s easy and fun with this practical, hands-on introduction. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. Along the way, you’ll expand your web programming skills, using tools such as HTML and JavaScript.This step-by-step guide is ideal whether you’re a designer or visual artist with no programming experience, a reporter exploring the new frontier of data journalism, or anyone who wants to visualize and share data.Learn HTML, CSS, JavaScript, and SVG basicsDynamically generate web page elements from your data—and choose visual encoding rules to style themCreate bar charts, scatter plots, pie charts, stacked bar charts, and force-directed layoutsUse smooth, animated transitions to show changes in your dataIntroduce interactivity to help users explore data through different viewsCreate customized geographic maps with dataExplore hands-on with downloadable code and over 100 examples

    When you flick on your light switch the light goes on--how? When you put out your garbage, where does it go? When you flush your toilet, what happens to the waste? How does water get from a reservoir in the mountains to your city faucet? How do flowers get to your corner store from Holland, or bananas get there from Ecuador? Who is operating the traffic lights all over the city? And what in the world is that steam coming out from underneath the potholes on the street? Across the city lies a series of extraordinarily complex and interconnected systems. Often invisible, and wholly taken for granted, these are the systems that make urban life possible. The Works: Anatomy of a City offers a cross section of this hidden infrastructure, using beautiful, innovative graphic images combined with short, clear text explanations to answer all the questions about the way things work in a modern city. It describes the technologies that keep the city functioning, as well as the people who support them-the pilots that bring the ships in over the Narrows sandbar, the sandhogs who are currently digging the third water tunnel under Manhattan, the television engineer who scales the Empire State Building's antenna for routine maintenance, the electrical wizards who maintain the century-old system that delivers power to subways. Did you know that the Verrazano-Narrows Bridge is so long, and its towers are so high, that the builders had to take the curvature of the earth's surface into account when designing it? Did you know that the George Washington Bridge takes in approximately $1 million per day in tolls? Did you know that retired subway cars travel by barge to the mid-Atlantic, where they are dumped overboard to form natural reefs for fish? Or that if the telecom cables under New York were strung end to end, they would reach from the earth to the sun? While the book uses New York as its example, it has relevance well beyond that city's boundaries as the systems that make New York a functioning metropolis are similar to those that keep the bright lights burning in big cities everywhere. The Works is for anyone who has ever stopped midcrosswalk, looked at the rapidly moving metropolis around them, and wondered, how does this all work?

    Long before the advent of computers, human beings were collecting, storing, and organizing information: from Ice Age taxonomies to Sumerian archives, Greek libraries to Dark Age monasteries.Today, we stand at a precipice, as our old systems struggle to cope with what designer Richard Saul Wurman called a "tsunami of data." With some historical perspective, however, we can begin to understand our predicament not just as the result of technological change, but as the latest chapter in an ancient story that we are only beginning to understand.Spanning disciplines from evolutionary theory and cultural anthropology to the history of books, libraries, and computer science, writer and information architect Alex Wright weaves an intriguing narrative that connects such seemingly far-flung topics as insect colonies, Stone Age jewelry, medieval monasteries, Renaissance encyclopedias, early computer networks, and the World Wide Web. Finally, he pulls these threads together to reach a surprising conclusion, suggesting that the future of the information age may lie deep in our cultural past.

    Psychology of Learning for Instruction, Third Edition, focuses on the applications and implications of the learning theories. Using excellent examples ranging from primary school instruction to corporate training, this text combines the latest thinking and research to give readers the opportunity to explore the individual theories as viewed by the experts. Readers are encouraged to apply "reflective practice," which is designed to foster a critical and reflective mode of thinking when considering any particular approach to learning and instruction. Provides readers with the practical knowledge needed to apply learning theories to instruction. KEY TOPICS: This text addresses learning as it relates to behavior, cognition, development, biology, motivation and instruction. MARKET: Pre-service and in-service teachers, and educational psychologists.

    Dense urban living has been prescribed as a panacea for the environmental and resource crises of our time. But is it better or worse for our happiness? Are subways, sidewalks and condo towers an improvement on the car-dependence of sprawl?The award-winning journalist Charles Montgomery finds answers to such questions at the intersection between urban design and the emerging science of happiness, during an exhilarating journey through some of the world’s most dynamic cities. He meets the visionary mayor who introduced a “sexy” bus to ease status anxiety in Bogotá; the architect who brought the lessons of medieval Tuscan hill towns to modern-day New York City; the activist who turned Paris’s urban freeways into beaches; and an army of American suburbanites who have hacked the design of their own streets and neighborhoods.Rich with new insights from psychology, neuroscience and Montgomery’s own urban experiments, Happy City reveals how our cities can shape our thoughts as well as our behavior. The message is as surprising as it is hopeful: by retrofitting cities and our own lives for happiness, we can tackle the urgent challenges of our age. The happy city can save the world--and all of us can help build it.

    But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization.Explore the basic concepts of color as a tool to highlight, distinguish, or represent a valueUnderstand the importance of redundant coding to ensure you provide key information in multiple waysUse the book's visualizations directory, a graphical guide to commonly used types of data visualizationsGet extensive examples of good and bad figuresLearn how to use figures in a document or report and how employ them effectively to tell a compelling story

    John Seely Brown and Paul Duguid argue that the gap between digerati hype and end-user gloom is largely due to the "tunnel vision" that information-driven technologies breed. We've become so focused on where we think we ought to be--a place where technology empowers individuals and obliterates social organizations--that we often fail to see where we're really going.The Social Life of Information shows us how to look beyond our obsession with information and individuals to include the critical social networks of which these are always a part.