Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored to issue this commemorative reprinting of a classic.

    Joan Bolker, midwife to more than one hundred dissertations and co-founder of the Harvard Writing Center, offers invaluable suggestions for the graduate-student writer. Using positive reinforcement, she begins by reminding thesis writers that being able to devote themselves to a project that truly interests them can be a pleasurable adventure. She encourages them to pay close attention to their writing method in order to discover their individual work strategies that promote productivity; to stop feeling fearful that they may disappoint their advisors or family members; and to tailor their theses to their own writing style and personality needs. Using field-tested strategies she assists the student through the entire thesis-writing process, offering advice on choosing a topic and an advisor, on disciplining one's self to work at least fifteen minutes each day; setting short-term deadlines, on revising and defing the thesis, and on life and publication after the dissertation. Bolker makes writing the dissertation an enjoyable challenge.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problemsEach chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer supportThe authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data miningMore advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data miningCovers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

    By demystifying the fantasies surrounding cancer, Sontag shows cancer for what it is - just a disease. Cancer, she argues, is not a curse, not a punishment, certainly not an embarrassment and, it is highly curable, if good treatment is followed. Almost a decade later, with the outbreak of a new, stigmatized disease replete with mystifications and punitive metaphors, Sontag wrote a sequel to Illness as Metaphor, extending the argument of the earlier book to the AIDS pandemic.These two essays now published together, Illness as Metaphor and AIDS and Its Metaphors, have been translated into many languages and continue to have an enormous influence on the thinking of medical professionals and, above all, on the lives of many thousands of patients and caregivers.

    The Archaeology of Knowledge begins at the level of “things aid” and moves quickly to illuminate the connections between knowledge, language, and action in a style at once profound and personal. A summing up of Foucault’s own methodological assumptions, this book is also a first step toward a genealogy of the way we live now. Challenging, at times infuriating, it is an absolutely indispensable guide to one of the most innovative thinkers of our time.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    An authoritative reviewer in her own right, Kathleen Horning provides practical guidelines for reading critically, evaluating an initial response, answering questions raised during the first reading, putting a response into words, balancing description with criticism, and writing reviews for a particular audience.

    You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".

    His thousands of pages of essays, reviews, prologues, lectures, and notes on politics and culture—though revered in Latin America and Europe as among his finest work—have scarcely been translated into English.For more than seventy years, Penguin has been the leading publisher of classic literature in the English-speaking world. With more than 1,700 titles, Penguin Classics represents a global bookshelf of the best works throughout history and across genres and disciplines. Readers trust the series to provide authoritative texts enhanced by introductions and notes by distinguished scholars and contemporary authors, as well as up-to-date translations by award-winning translators.

    Lessig reveals the solutions to this impasse offered by a collaborative yet profitable “hybrid economy”.Lawrence Lessig, the reigning authority on intellectual property in the Internet age, spotlights the newest and possibly the most harmful culture war—a war waged against our kids and others who create and consume art. America’s copyright laws have ceased to perform their original, beneficial role: protecting artists’ creations while allowing them to build on previous creative works. In fact, our system now criminalizes those very actions. For many, new technologies have made it irresistible to flout these unreasonable and ultimately untenable laws. Some of today’s most talented artists are felons, and so are our kids, who see no reason why they shouldn’t do what their computers and the Web let them do, from burning a copyrighted CD for a friend to “biting” riffs from films, videos, songs, etc and making new art from them.Criminalizing our children and others is exactly what our society should not do, and Lessig shows how we can and must end this conflict—a war as ill conceived and unwinnable as the war on drugs. By embracing “read-write culture,” which allows its users to create art as readily as they consume it, we can ensure that creators get the support—artistic, commercial, and ethical—that they deserve and need. Indeed, we can already see glimmers of a new hybrid economy that combines the profit motives of traditional business with the “sharing economy” evident in such Web sites as Wikipedia and YouTube. The hybrid economy will become ever more prominent in every creative realm—from news to music—and Lessig shows how we can and should use it to benefit those who make and consume culture.Remix is an urgent, eloquent plea to end a war that harms our children and other intrepid creative users of new technologies. It also offers an inspiring vision of the post-war world where enormous opportunities await those who view art as a resource to be shared openly rather than a commodity to be hoarded.

     For decades, technology encouraged people to squander their time and intellect as passive consumers. Today, tech has finally caught up with human potential. In Cognitive Surplus, Internet guru Clay Shirky forecasts the thrilling changes we will all enjoy as new digital technology puts our untapped resources of talent and goodwill to use at last. Since we Americans were suburbanized and educated by the postwar boom, we've had a surfeit of intellect, energy, and time-what Shirky calls a cognitive surplus. But this abundance had little impact on the common good because television consumed the lion's share of it-and we consume TV passively, in isolation from one another. Now, for the first time, people are embracing new media that allow us to pool our efforts at vanishingly low cost. The results of this aggregated effort range from mind expanding-reference tools like Wikipedia-to lifesaving-such as Ushahidi.com, which has allowed Kenyans to sidestep government censorship and report on acts of violence in real time. Shirky argues persuasively that this cognitive surplus-rather than being some strange new departure from normal behavior-actually returns our society to forms of collaboration that were natural to us up through the early twentieth century. He also charts the vast effects that our cognitive surplus- aided by new technologies-will have on twenty-first-century society, and how we can best exploit those effects. Shirky envisions an era of lower creative quality on average but greater innovation, an increase in transparency in all areas of society, and a dramatic rise in productivity that will transform our civilization. The potential impact of cognitive surplus is enormous. As Shirky points out, Wikipedia was built out of roughly 1 percent of the man-hours that Americans spend watching TV every year. Wikipedia and other current products of cognitive surplus are only the iceberg's tip. Shirky shows how society and our daily lives will be improved dramatically as we learn to exploit our goodwill and free time like never before.

    Geared toward students, teachers, readers, and writers alike, The Penguin Dictionary of Literary Terms and Literary Theory explains critical jargon (intertextuality, aporia), schools of literary theory (structuralism, feminist criticism), literary forms (sonnet, ottava rima), and genres (elegy, pastoral) and examines artifacts, historic locales, archetypes, origins of well-known phrases, and much, much more. Scholarly, straightforward, comprehensive, and even entertaining, this is a resource that no word-lover should be without.

    It requires three to five times less time than developing in Java, is a great building block for learning both procedural and object-oriented programming concepts, and is an ideal language for data analysis. Beginning Programming with Python For Dummies is the perfect guide to this dynamic and powerful programming language--even if you've never coded before! Author John Paul Mueller draws on his vast programming knowledge and experience to guide you step-by-step through the syntax and logic of programming with Python and provides several real-world programming examples to give you hands-on experience trying out what you've learned.Provides a solid understanding of basic computer programming concepts and helps familiarize you with syntax and logic Explains the fundamentals of procedural and object-oriented programming Shows how Python is being used for data analysis and other applications Includes short, practical programming samples to apply your skills to real-world programming scenarios Whether you've never written a line of code or are just trying to pick up Python, there's nothing to fear with the fun and friendly Beginning Programming with Python For Dummies leading the way.

    More than just book repositories, libraries can become bulwarks against some of the most crucial challenges of our age: unequal access to education, jobs, and information. In BiblioTech, educator and technology expert John Palfrey argues that anyone seeking to participate in the 21st century needs to understand how to find and use the vast stores of information available online. And libraries, which play a crucial role in making these skills and information available, are at risk. In order to survive our rapidly modernizing world and dwindling government funding, libraries must make the transition to a digital future as soon as possible -- by digitizing print material and ensuring that born-digital material is publicly available online. Not all of these changes will be easy for libraries to implement. But as Palfrey boldly argues, these modifications are vital if we hope to save libraries and, through them, the American democratic ideal.