And everybody who has read it will agree that reports of the book’s death have been greatly exaggerated.”―Erik Spiekermann, typographerWe may love books, but do we know what lies behind them? In The Book, Keith Houston reveals that the paper, ink, thread, glue, and board from which a book is made tell as rich a story as the words on its pages―of civilizations, empires, human ingenuity, and madness. In an invitingly tactile history of this 2,000-year-old medium, Houston follows the development of writing, printing, the art of illustrations, and binding to show how we have moved from cuneiform tablets and papyrus scrolls to the hardcovers and paperbacks of today. Sure to delight book lovers of all stripes with its lush, full-color illustrations, The Book gives us the momentous and surprising history behind humanity’s most important―and universal―information technology.71 color illustrations

    From Pong to Pac-Man, Asteroids to Zaxxon - more than 50 million people around the world have come of age within the electronic flux of videogames, their subconscious forever etched with images projected from arcade and home videogame systems.

    In The Location of Culture, he uses concepts such as mimicry, interstice, hybridity, and liminality to argue that cultural production is always most productive where it is most ambivalent. Speaking in a voice that combines intellectual ease with the belief that theory itself can contribute to practical political change, Bhabha has become one of the leading post-colonial theorists of this era.

    You'll be guided through the entire process of creating a gorgeous, usable web site by applying the timeless principles of user-centered design.Even if you're short on design skills, with this book you'll be creating your own stunning web sites in no time at all.Throughout, the focus is on simple and practical techniques that anyone can use - you don't need to have gone to art school or have artistic flair to create stunning designs using the methods outlined in this book.The book's full-color layout and large format (8" x 10") make Sexy Web Design a pleasure to read.Master key web interface design principles Design amazing web interfaces from scratch Create beautiful, yet functional, web sites Unleash your artistic talents And much more Who should read this book? Whether you're completely new to web design, a seasoned pro looking for inspiration, or a developer wanting to improve your sites' aesthetics, there's something for everyone here.How? Because instead of trying to cover every possible area of creating a web site, we've focused purely on the design stage; that is, everything that happens before a single line of code is written.However, great design is more than just aesthetics. Long before we open our graphics program of choice, we'll be conducting research, dealing with clients, responding to briefs, sketching out sitemaps, planning information architecture, moving from doodles to diagrams, exploring different ways of interactivity, and building upon design traditions.But ultimately, you'll be finding out how to create web sites that look drop-dead gorgeous.

    However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.

    Discover the “hidden gold” in Python’s standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you’re wondering which lesser known parts in Python you should know about, you’ll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers’ minds in your next code review. If you’ve got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you’ve worked with other programming languages and you want to get up to speed with Python, you’ll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you’ll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." — Mariatta Wijaya, Python Core Developer"This book makes you write better Python code!" — Bob Belderbos, Software Developer at Oracle"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." — Ben Felder, Pythonista"It's like having a seasoned tutor explaining, well, tricks!" — Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.

    By inviting the reader to explore the imagination's grip on daily life and how one lives in the pressure of that grip, Baxter offers his own perspective on reading and writing contemporary fiction.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    This collection has more than twenty-five selections, including such important statements as "Modern Fiction" and "The Modern Essay."

    Yet inhabitants of virtual worlds rarely achieve this liberty, game researcher Nick Yee contends. Though online games evoke freedom and escapism, Yee shows that virtual spaces perpetuate social norms and stereotypes from the offline world, transform play into labor, and inspire racial scapegoating and superstitious thinking. And the change that does occur is often out of our control and effected by unparalleled—but rarely recognized—tools for controlling what players think and how they behave. Using player surveys, psychological experiments, and in-game data, Yee breaks down misconceptions about who plays fantasy games and the extent to which the online and offline worlds operate separately. With a wealth of entertaining and provocative examples, he explains what virtual worlds are about and why they matter, not only for entertainment but also for business and education. He uses gaming as a lens through which to examine the pressing question of what it means to be human in a digital world. His thought-provoking book is an invitation to think more deeply about virtual worlds and what they reveal to us about ourselves.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    Named one of the greatest minds of the 20th century by Time, Tim Berners-Lee is responsible for one of that century's most important advancements: the world wide web.  Now, this low-profile genius - who never personally profited from his invention - offers a compelling portrait of his invention.  He reveals the Web's origins and the creation of the now ubiquitous http and www acronyms and shares his views on such critical issues as censorship, privacy, the increasing power of software companies, and the need to find the ideal balance between commercial and social forces.  He offers insights into the true nature of the Web, showing readers how to use it to its fullest advantage.  And he presents his own plan for the Web's future, calling for the active support and participation of programmers, computer manufacturers, and social organizations to manage and maintain this valuable resource so that it can remain a powerful force for social change and an outlet for individual creativity.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    It's a book that has remained current for over half a century, fighting off critics and changing tastes in fiction. But do even its biggest fans know all there is to appreciate about The Great Gatsby?Maureen Corrigan, the book critic for "Fresh Air" and a Gatsby lover extraordinaire, points out that while Gatsby may be the novel most Americans have read, it's also the ones most of us read too soon -- when we were "too young, too defensive emotionally, too ignorant about the life-deforming powers of regret" to really understand all that Fitzgerald was saying ("it's not the green light, stupid, it's Gatsby's reaching for it," as she puts it). No matter when or how recently you've read the novel, Corrigan offers a fresh perspective on what makes it so enduringly relevant and powerful. Drawing on her experience as a reader, lecturer, and critic, her book will be a rousing consideration of Gatsby: not just its literary achievements, but also its path to "classic" (its initial lukewarm reception has been a form of cold comfort to struggling novelists for decades), its under-acknowledged debt to hard-boiled crime fiction, its commentaries on race, class, and gender.With rigor, wit, and an evangelistic persuasiveness, Corrigan will leave readers inspired to grab their old paperback copies of Gatsby and re-experience this great novel in an entirely new light.

     In 2007 and 2008, Time named Paul Allen, the cofounder of Microsoft, one of the hundred most influential people in the world. Since he made his fortune, his impact has been felt in science, technology, business, medicine, sports, music, and philanthropy. His passion, curiosity, and intellectual rigor-combined with the resources to launch and support new initiatives-have literally changed the world. In 2009 Allen discovered that he had lymphoma, lending urgency to his desire to share his story for the first time. In this long-awaited memoir, Allen explains how he has solved problems, what he's learned from his many endeavors-both the triumphs and the failures-and his compelling vision for the future. He reflects candidly on an extraordinary life. The book also features previously untold stories about everything from the true origins of Microsoft to Allen's role in the dawn of private space travel (with SpaceShipOne) and in discoveries at the frontiers of brain science. With honesty, humor, and insight, Allen tells the story of a life of ideas made real.