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

    The Architecture of Happiness starts from the idea that where we are heavily influences who we can be, and it argues that it is architecture's task to stand as an eloquent reminder of our full potential.Whereas many architects are wary of openly discussing the word beauty, this book has at its center the large and naïve question: What is a beautiful building? It is a tour through the philosophy and psychology of architecture that aims to change the way we think about our homes, our streets and ourselves.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

     While a limited understanding of contrapuntal elements may be gained through analysis alone, these elements are grasped in a more intimate way through the actual writing of contrapuntal examples. Also, by linking the study of counterpoint to music of a specific period, the text provides a clear model for students to emulate and a definite basis for the criticism of student work.

    And then we wonder why software is notorious for being delivered late and full of bugs, while other engineers routinely deliver finished bridges, automobiles, electrical appliances, etc., on time and with only minor defects. This book sets out to redress this imbalance. Members of my advanced development team at Adobe who took the course based on the same material all benefited greatly from the time invested. It may appear as a highly technical text intended only for computer scientists, but it should be required reading for all practicing software engineers." --Martin Newell, Adobe Fellow"The book contains some of the most beautiful code I have ever seen." --Bjarne Stroustrup, Designer of C++"I am happy to see the content of Alex's course, the development and teaching of which I strongly supported as the CTO of Silicon Graphics, now available to all programmers in this elegant little book." --Forest Baskett, General Partner, New Enterprise Associates"Paul's patience and architectural experience helped to organize Alex's mathematical approach into a tightly-structured edifice--an impressive feat!" --Robert W. Taylor, Founder of Xerox PARC CSL and DEC Systems Research Center Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software.This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book's value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, and doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system's software components will work together and behave as they must.The book presents a number of algorithms and requirements for types on which they are defined. The code for these descriptions--also available on the Web--is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup.Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book's experienced authors have been teaching and demonstrating for years--that mathematics is good for programming, and that theory is good for practice.

    Writing in the clear and highly entertaining prose that made Opera 101 the standard text in its field, Fred Plotkin--music expert, teacher, lecturer, and famous author--presents classical music in a way that respects both the reader and the art form. In Classical Music 101:The reader will discover how to become an expert listener, which is essential for learning to love classical music.A thousand years of music are explored, with emphasis on great works in all styles. Significant composers will be profiled in depth, including Beethoven, Mozart, Bach, Tchaikovsky, Dvorak, and many more.Important musicians, such as pianist Emanuel Ax, singer Marilyn Horne, and conductor James Levine, speak about their art in interviews.Classical Music 101, the newest addition to a highly successful series intended for readers who don't consider themselves dummies or idiots, will help the person drawn to the finer things in life (and readers who don't know how to approach them) discover the glories of music.

    But sooner or later all of our tomorrows will run out. Each day that you postpone the hard work and succumb to the clutter that chokes creativity, discipline, and innovation will result in a net deficit to the world, to your company, and to yourself. Die Empty is a tool for individuals and companies that aren't willing to put off their best work. Todd Henry explains the forces that keep people in stagnation and introduces a three-part process for tapping into your passion: Excavate: Find the bedrock of your work to discover what drives you. Cultivate: Learn how to develop the curiosity, humility, and persistence that save you from getting stuck in ruts. Resonate: Learn how your unique brilliance can inspire others. Henry shows how to find and sustain your passion and curiosity, even in tough times.

    It's Big Brother singing. Call it what you will -- elevator music, Moodsong ® easy listening, or Muzak ®. For a musical genre that was supposed to offend no one, it has a lot of enemies.Musical cognoscenti decry its insipid content; regular folk -- if they notice -- bemoan its pervasiveness; while hipsters and campsters celebrate its retro chic. Mindful of the many voices, Joseph Lanza's Elevator Music sings seriously, with tongue in cheek, the praises of this venerable American institution.Lanza addresses the criticisms of elites who say that Muzak and its ilk are dehumanized, vapid, or cheesy. These reactions, he argues, are based more on cultural prejudices than honest musical appraisal.Says Lanza, today's so-called mood music is the inheritor of a long tradition of mood-altering music stretching back to the ancients; Nero's fiddle and the sirens of Odysseus being two famous examples. Contemporary atmospheric music, Lanza argues, not only serves the same purpose, it is also the inevitable background for our media-dominated age.One of Lanza's premises, to quote Mark Twain, is that this music is "better than it sounds." "This book will have succeeded in its purpose," he writes, "if I can help efface...the distinction between one person's elevator music and another's prized recording."Joseph Lanza is an author, producer, and music historian. His most recent book is Russ Columbo and the Crooner Mystique.

    Featuring hundreds of unseen live and candid color and black-and-white photographs, "Murder in the Front Row" captures the wild-eyed zeal and drive that made Metallica, Slayer, and Megadeth into legends, with over 100 million combined records sold.

    J. S. Bach held it in high esteem, Leopold Mozart trained his famous son from its pages, Haydn worked out every lesson with meticulous care, and Beethoven condensed it into an abstract for ready reference.

    In this one-of-a-kind account, you'll see how the developers responsible for these flaws patched the bugs—or failed to respond at all. As you follow Klein on his journey, you'll gain deep technical knowledge and insight into how hackers approach difficult problems and experience the true joys (and frustrations) of bug hunting.Along the way you'll learn how to:Use field-tested techniques to find bugs, like identifying and tracing user input data and reverse engineering Exploit vulnerabilities like NULL pointer dereferences, buffer overflows, and type conversion flaws Develop proof of concept code that verifies the security flaw Report bugs to vendors or third party brokersA Bug Hunter's Diary is packed with real-world examples of vulnerable code and the custom programs used to find and test bugs. Whether you're hunting bugs for fun, for profit, or to make the world a safer place, you'll learn valuable new skills by looking over the shoulder of a professional bug hunter in action.

    “This is Steve Jobs. I saw your picture in a magazine a few years ago and thought we’d work together someday.” After Steve Jobs was unceremoniously dismissed from Apple, he bought a little-known graphics company called Pixar. One day, out of the blue, Jobs called Lawrence Levy, a Harvard-trained lawyer and executive to whom he had never spoken before, to persuade Levy to help him get Pixar off the ground. What Levy found was a company on the verge of failure. To Pixar and Beyond is the story of what happened next: how, working closely with Jobs, Levy produced and implemented a highly improbable plan that transformed Pixar into one of Hollywood’s greatest success stories. Set in the worlds of Silicon Valley and Hollywood, the book takes readers inside Pixar, Disney, law firms, and investment banks. It provides an up-close, firsthand account of Pixar’s ascent, how it made creative choices, Levy’s enduring collaboration and friendship with Jobs, and how Levy came to see in Pixar deeper lessons that can apply to many aspects of our lives.

    He believes that we should investigate what makes some countries more capable than others. Complex products—from films to robots, apps to automobiles—are a physical distillation of an economy’s knowledge, a measurable embodiment of its education, infrastructure, and capability. Economic wealth accrues when applications of this knowledge turn ideas into tangible products; the more complex its products, the more economic growth a country will experience.A radical new interpretation of global economics, Why Information Grows overturns traditional assumptions about the development of economies and the origins of wealth and takes a crucial step toward making economics less the dismal science and more the insightful one.

    Behind-the-scenes touring and recording stories are featured, as well as humorous and engaging anecdotes about Matt's relationship with Coldplay as they travel the globe and become one of the biggest bands in the world.

    Never before have the cultural powers- that-be been able to exert such control over what we can and can't do with the culture around us. Our society defends free markets and free speech; why then does it permit such top-down control? To lose our long tradition of free culture, Lawrence Lessig shows us, is to lose our freedom to create, our freedom to build, and, ultimately, our freedom to imagine.