“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

    Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

    Hundreds of thousands of Python developers around the world rely on Python for general-purpose tasks, Internet scripting, systems programming, user interfaces, and product customization. Available on all major computing platforms, including commercial versions of Unix, Linux, Windows, and Mac OS X, Python is portable, powerful and remarkable easy to use.With its convenient, quick-reference format, "Python Pocket Reference," 3rd Edition is the perfect on-the-job reference. More importantly, it's now been refreshed to cover the language's latest release, Python 2.4. For experienced Python developers, this book is a compact toolbox that delivers need-to-know information at the flip of a page. This third edition also includes an easy-lookup index to help developers find answers fast!Python 2.4 is more than just optimization and library enhancements; it's also chock full of bug fixes and upgrades. And these changes are addressed in the "Python Pocket Reference," 3rd Edition. New language features, new and upgraded built-ins, and new and upgraded modules and packages--they're all clarified in detail.The "Python Pocket Reference," 3rd Edition serves as the perfect companion to "Learning Python" and "Programming Python."

    With Emmy award-winning, longtime PBS host Mark Kistler as your guide, you'll learn the secrets of sophisticated three-dimensional renderings, and have fun along the way -- in just twenty minutes a day for a month. Inside you'll find:Quick and easy step-by-step instructions for drawing everything from simple spheres to apples, trees, buildings, and the human hand and faceMore than 500 line drawings, illustrating each stepTime-tested tips, techniques, and tutorials for drawing in 3-DThe 9 Fundamental Laws of Drawing to create the illusion of depth in any drawing75 student examples to encourage you in the process

    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

    In recent years, while continuing to learn more about strengths, Gallup scientists have also been ex....

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    The meaning of the business process diagram is the same, regardless of the tool used to create it. But creating models that are correct, complete, and clear demands more than a dictionary of BPMN shapes and symbols. It also requires a methodology for translating process logic consistently into the diagram. And it requires a measure of modeling style as well, conventions that ensure that the process logic is unambiguous from the diagram by itself. In short, "good BPMN" requires a disciplined approach called "method and style."In this book, Bruce Silver explains which BPMN elements process modelers need to understand, in two levels, including exactly where and how to use each element. Level 1 (the Descriptive modeling subclass of BPMN 2.0) is a palette of shapes and symbols largely carried over from traditional flowcharting. Level 2 (the Analytic subclass) expands the palette to be able to describe event-triggered behavior, critical to modeling exception handling.The book explains the real meaning of BPMN's most basic concepts - like activity, process, and end state - essential to using the language correctly, and provides a step-by-step methodology for going from a blank page to a complete end-to-end BPMN model, developed from the top down in a hierarchical structure. From the top-level diagram you can see on a single page exactly how the process starts, its possible end states, what the instance represents, and communications with the Customer, service providers, and other processes. From there you can drill down to see the details of any part of the process. Thie popular first edition of this book was published in 2009 based on the draft BPMN 2.0 specification. This second edition is based on the final BPMN 2.0 specification. Although the diagram elements have changed little since the first edition, both the methodology and style sections have been completely rewritten.The second half of the book, the BPMN Implementer's Guide, is completely new. It puts the focus on the XML serialization of the diagram, for both non-executable and executable process models. It details the BPMN 2.0 metamodel and XML Schema, and describes the BPMN-I Profile, a set of serialization rules that facilitate interchange of BPMN models in the Analytic subclass between tools. It also explains how BPMN 2.0 describes execution-related details, such as process data and data mapping, services, messages, and human task assignment, illustrated with an example executable process created in Bonita Open Solution. It concludes with guidelines for implementers on how to align executable design with business-oriented top-down process modeling.The book is lavishly illustrated with over 100 BPMN diagrams, and the BPMN Implementer's Guide section contains many XML examples as well.Bruce Silver is the leading provider of BPMN training and certification. He has been providing BPMN training since early 2007 and is regarded as an authority in the field.

    The average young person in the UK will spend 10,000 hours gaming by the age of twenty-one. What's causing this mass exodus? According to world-renowned game designer Jane McGonigal the answer is simple: videogames are fulfilling genuine human needs. Drawing on positive psychology, cognitive science and sociology, Reality is Broken shows how game designers have hit on core truths about what makes us happy, and utilized these discoveries to astonishing effect in virtual environments. But why, McGonigal asks, should we use the power of games for escapist entertainment alone? In this groundbreaking exploration of the power and future of gaming, she reveals how gamers have become expert problem solvers and collaborators, and shows how we can use the lessons of game design to socially positive ends, be it in our own lives, our communities or our businesses. Written for gamers and non-gamers alike, Reality is Broken sends a clear and provocative message: the future will belong to those who can understand, design and play games.

    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

    This book provides the design strategy and tactics you need to integrate game mechanics into any kind of consumer-facing website or mobile app. Learn how to use core game concepts, design patterns, and meaningful code samples to a create fun and captivating social environment.Whether you're an executive, developer, producer, or product specialist, Gamification by Design will show you how game mechanics can help you build customer loyalty.Discover the motivational framework game designers use to segment and engage consumersUnderstand core game mechanics such as points, badges, levels, challenges, and leaderboardsEngage your consumers with reward structures, positive reinforcement, and feedback loopsCombine game mechanics with social interaction for activities such as collecting, gifting, heroism, and statusDive into case studies on Nike and Yahoo!, and analyze interactions at Google, Facebook, and ZyngaGet the architecture and code to gamify a basic consumer site, and learn how to use mainstream gamification APIs from Badgeville"Turning applications into games is a huge trend. This book does a great job of identifying the core lasting principals you need to inspire your users to visit again and again." —Adam Loving Freelance Social Game Developer and founder of Twibes Twitter Groups

    In addition, the completely updated fifth edition shows you how to build trust and confidence, be an active listener, manage a diverse group of individuals, conduct performance appraisals, and address many other challenges that come with the manager's job.Written in an inviting and accessible style, this classic skill-building book is an essential tool for becoming an effective, confident new manager."

    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

    At under 200 pages it's quick reading too. Makes a great airplane book.

    Are You Ready To Learn Python Easily? Learning Python Programming in 7 days is possible, although it might not look like it