Tantalized by the legend of the Driver—the anonymous, possibly nonexistent organizer of the world's ultimate secret race—Roy set out to become a force to be reckoned with. At speeds approaching 200 mph, he sped from London to Morocco, from Budapest to Rome, from San Francisco to Miami, in his highly modified BMW M5, culminating in a new record for the infamous Los Angeles to New York run: 32:07.Sexy, funny, and shocking, The Driver is a never-before-told insider's look at an unbelievably fast and dangerous society that has long been off-limits to ordinary mortals.

    Using exercises and case presentations, you can apply your own ideas and develop useful analytical skills. Cases found throughout the text present the venture creations or managerial ideas confronted by real-world companies.

    Her real job will be to persuade Jude to live life to the full – with her!

    The sudden death of her father forces to tell her story, from childhood beside her drug-addicted mother and Christian, to her meeting with Antonio, the son of a military torturer of the Dirty War in Mexico. The novel has as background the city of Mexico portrayed by characters that live in the abyss of guilt and revenge.

    

    The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes.Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. The Fractal Geometry of Nature is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.

    Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject. "Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!

    V. Quine presents logic as the product of two factors, truth and grammar--but argues against the doctrine that the logical truths are true because of grammar or language. Rather, in presenting a general theory of grammar and discussing the boundaries and possible extensions of logic, Quine argues that logic is not a mere matter of words.

    With expectations at an all-time high, his players have lost their will to win and their passion for the game; none of Coach Rocker’s tried and true motivational methods are working, and he doesn’t know why.As the season continues to spiral downward and his home life begins to mirror the problems he’s facing on the court, Coach Rocker stumbles upon a most unlikely mentor— Joe Taylor, the school’s janitor, who seems to have the answers to all of the Coach’s problems.

    Each idiom comes with a detailed description, example code showing the "wrong" way to do it, and code for the idiomatic, "Pythonic" alternative. *This version of the book is for Python 2.7.3+. There is also a Python 3.3+ version available.* "Writing Idiomatic Python" contains the most common and important Python idioms in a format that maximizes identification and understanding. Each idiom is presented as a recommendation to write some commonly used piece of code. It is followed by an explanation of why the idiom is important. It also contains two code samples: the "Harmful" way to write it and the "Idiomatic" way. * The "Harmful" way helps you identify the idiom in your own code. * The "Idiomatic" way shows you how to easily translate that code into idiomatic Python. This book is perfect for you: * If you're coming to Python from another programming language * If you're learning Python as a first programming language * If you're looking to increase the readability, maintainability, and correctness of your Python code What is "Idiomatic" Python? Every programming language has its own idioms. Programming language idioms are nothing more than the generally accepted way of writing a certain piece of code. Consistently writing idiomatic code has a number of important benefits: * Others can read and understand your code easily * Others can maintain and enhance your code with minimal effort * Your code will contain fewer bugs * Your code will teach others to write correct code without any effort on your part

    Each of the Enneagram's nine types has a distinct worldview which determines how they think, what they want, and why they act the way they do. You'll recognize the personality types of the people you work with---colleagues, clients, bosses---as well as your own. And you'll discover the most effective ways to work with these people: The Perfectionist gets things done right---regardless of the consequences. The Helper nurtures others' careers---and demands to be appreciated for it. The Producer works hard to succeed---but can burn out in overwork. The Connoisseur explores his or her creativity and deep feelings---but may get lost in them. The Sage craves data, theories and insight---but may forget the human element The Troubleshooter knows the secrets and who can be trusted---but can get mighty paranoid. The Visionary inspires with brilliant, fun, imaginative ideas---but leaves closure to others. The Top Dog exercises leadership---but may end up as a vengeful bully. The Mediator wants everybody working as a conflict-free team---but may forget his or her own goals.Drawing on twenty-five years of teaching and consulting, Michael Goldberg's rich descriptions catch the "aha!" of each style with insightful anecdotes and real-life stories. He shows how each style is likely to connect with or miss the others, what kind of leadership is right for certain situations, and how each style makes important decisions and gets work done. You'll see the special gifts and talents of each style, their limits and blind spots, and when they will shine and when they will wilt. The 9 Ways of Working is packed with practical tips and cautions for each style and for working with each style.

    As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.This book includes:Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more A detailed case study of porting a major library from Python 2 to Python 3 A comprehensive appendix of all the syntactic and semantic changes in Python 3 This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away.

    Turing Mathematician Alan Turing invented an imaginary computer known as the Turing Machine; in an age before computers, he explored the concept of what it meant to be "computable," creating the field of computability theory in the process, a foundation of present-day computer programming.The book expands Turing's original 36-page paper with additional background chapters and extensive annotations; the author elaborates on and clarifies many of Turing's statements, making the original difficult-to-read document accessible to present day programmers, computer science majors, math geeks, and others.Interwoven into the narrative are the highlights of Turing's own life: his years at Cambridge and Princeton, his secret work in cryptanalysis during World War II, his involvement in seminal computer projects, his speculations about artificial intelligence, his arrest and prosecution for the crime of "gross indecency," and his early death by apparent suicide at the age of 41.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    Uses progressive enhancement techniques to ensure graceful degradation (which makes sites usable in all browsers). Shows readers how to write their own Ajax scripts instead of relying on third-party libraries. Web site designers love the idea of Ajax--of creating Web pages in which information can be updated without refreshing the entire page. But for those who aren't hard-core programmers, enhancing pages using Ajax can be a challenge. Even more of a challenge is making sure those pages work for all users. In Bulletproof Ajax, author Jeremy Keith demonstrates how developers comfortable with CSS and (X)HTML can build Ajax functionality without frameworks, using the ideas of graceful degradation and progressive enhancement to ensure that the pages work for all users. Throughout this step-by-step guide, his emphasis is on best practices with an approach to building Ajax pages called Hijax, which improves flexibility and avoids worst-case scenarios.