Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life.Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking.While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner.In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.

    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.

    If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to:Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

    They aren't conscious of all the choices they make, like how they format their source, the names they use for variables, or the kinds of loops they use. They're focused entirely on problems they're solving, solutions they're creating, and algorithms they're implementing. So they write code in the way that seems natural, that happens intuitively, and that feels good.But if you're serious about your profession, intuition isn't enough. Perl Best Practices author Damian Conway explains that rules, conventions, standards, and practices not only help programmers communicate and coordinate with one another, they also provide a reliable framework for thinking about problems, and a common language for expressing solutions. This is especially critical in Perl, because the language is designed to offer many ways to accomplish the same task, and consequently it supports many incompatible dialects.With a good dose of Aussie humor, Dr. Conway (familiar to many in the Perl community) offers 256 guidelines on the art of coding to help you write better Perl code--in fact, the best Perl code you possibly can. The guidelines cover code layout, naming conventions, choice of data and control structures, program decomposition, interface design and implementation, modularity, object orientation, error handling, testing, and debugging.They're designed to work together to produce code that is clear, robust, efficient, maintainable, and concise, but Dr. Conway doesn't pretend that this is the one true universal and unequivocal set of best practices. Instead, Perl Best Practices offers coherent and widely applicable suggestions based on real-world experience of how code is actually written, rather than on someone's ivory-tower theories on how software ought to be created.Most of all, Perl Best Practices offers guidelines that actually work, and that many developers around the world are already using. Much like Perl itself, these guidelines are about helping you to get your job done, without getting in the way.Praise for Perl Best Practices from Perl community members:"As a manager of a large Perl project, I'd ensure that every member of my team has a copy of Perl Best Practices on their desk, and use it as the basis for an in-house style guide." -- Randal Schwartz"There are no more excuses for writing bad Perl programs. All levels of Perl programmer will be more productive after reading this book." -- Peter Scott"Perl Best Practices will be the next big important book in the evolution of Perl. The ideas and practices Damian lays down will help bring Perl out from under the embarrassing heading of "scripting languages". Many of us have known Perl is a real programming language, worthy of all the tasks normally delegated to Java and C++. With Perl Best Practices, Damian shows specifically how and why, so everyone else can see, too." -- Andy Lester"Damian's done what many thought impossible: show how to build large, maintainable Perl applications, while still letting Perl be the powerful, expressive language that programmers have loved for years." -- Bill Odom"Finally, a means to bring lasting order to the process and product of real Perl development teams." -- Andrew Sundstrom"Perl Best Practices provides a valuable education in how to write robust, maintainable P

    Its starting point is the annual Turing Test, which pits artificial intelligence programs against people to determine if computers can “think.”Named for computer pioneer Alan Turing, the Tur­ing Test convenes a panel of judges who pose questions—ranging anywhere from celebrity gossip to moral conundrums—to hidden contestants in an attempt to discern which is human and which is a computer. The machine that most often fools the panel wins the Most Human Computer Award. But there is also a prize, bizarre and intriguing, for the Most Human Human.In 2008, the top AI program came short of passing the Turing Test by just one astonishing vote. In 2009, Brian Christian was chosen to participate, and he set out to make sure Homo sapiens would prevail.The author’s quest to be deemed more human than a com­puter opens a window onto our own nature. Interweaving modern phenomena like customer service “chatbots” and men using programmed dialogue to pick up women in bars with insights from fields as diverse as chess, psychiatry, and the law, Brian Christian examines the philosophical, bio­logical, and moral issues raised by the Turing Test.One central definition of human has been “a being that could reason.” If computers can reason, what does that mean for the special place we reserve for humanity?

    But few people realize that Google also gives you hundreds of cool ways to organize and play with information.Since we released the last edition of this bestselling book, Google has added many new features and services to its expanding universe: Google Earth, Google Talk, Google Maps, Google Blog Search, Video Search, Music Search, Google Base, Google Reader, and Google Desktop among them. We've found ways to get these new services to do even more.The expanded third edition of Google Hacks is a brand-new and infinitely more useful book for this powerful search engine. You'll not only find dozens of hacks for the new Google services, but plenty of updated tips, tricks and scripts for hacking the old ones. Now you can make a Google Earth movie, visualize your web site traffic with Google Analytics, post pictures to your blog with Picasa, or access Gmail in your favorite email client. Industrial strength and real-world tested, this new collection enables you to mine a ton of information within Google's reach. And have a lot of fun while doing it:Search Google over IM with a Google Talk bot Build a customized Google Map and add it to your own web site Cover your searching tracks and take back your browsing privacy Turn any Google query into an RSS feed that you can monitor in Google Reader or the newsreader of your choice Keep tabs on blogs in new, useful ways Turn Gmail into an external hard drive for Windows, Mac, or Linux Beef up your web pages with search, ads, news feeds, and more Program Google with the Google API and language of your choice For those of you concerned about Google as an emerging Big Brother, this new edition also offers advice and concrete tips for protecting your privacy. Get into the world of Google and bend it to your will!

    Matt Welsh wrote the original Linux Installation and Getting Started guide; Matthias Dalheimer now leads the KDE Foundation. Their knowledge shows, whether they re talking about system administration, multimedia, or programming. You ll start by getting comfortable and productive: navigating command lines and GUIs; using browsers and office software; even gaming. Then, the authors lead you into the heart of Linux. You ll build kernels, process text, manage startup, troubleshoot X Window video. You ll implement print, file, network, and Internet services. There s even a full chapter on building LAMP application environments. Along the way, the authors introduce a raft of new topics, from encrypted email to groupware -- all with the clarity and accuracy you need to get results. Bill Camarda, from the February 2006 href="http://www.barnesandnoble.com/newslet... Only

    But do you know how to use them to their greatest possible advantage? Only now, with the publication of Linkers & Loaders, is there an authoritative book devoted entirely to these deep-seated compile-time and run-time processes. The book begins with a detailed and comparative account of linking and loading that illustrates the differences among various compilers and operating systems. On top of this foundation, the author presents clear practical advice to help you create faster, cleaner code. You'll learn to avoid the pitfalls associated with Windows DLLs, take advantage of the space-saving, performance-improving techniques supported by many modern linkers, make the best use of the UNIX ELF library scheme, and much more. If you're serious about programming, you'll devour this unique guide to one of the field's least understood topics. Linkers & Loaders is also an ideal supplementary text for compiler and operating systems courses.

    However, Perl incorporates many features that have their roots in other languages such as Lisp. These advanced features are not well understood and are rarely used by most Perl programmers, but they are very powerful. They can automate tasks in everyday programming that are difficult to solve in any other way. One of the most powerful of these techniques is writing functions that manufacture or modify other functions. For example, instead of writing ten similar functions, a programmer can write a general pattern or framework that can then create the functions as needed according to the pattern. For several years Mark Jason Dominus has worked to apply functional programming techniques to Perl. Now Mark brings these flexible programming methods that he has successfully taught in numerous tutorials and training sessions to a wider audience.• Introduces powerful programming methods—new to most Perl programmers—that were previously the domain of computer scientists• Gradually builds up confidence by describing techniques of progressive sophistication• Shows how to improve everyday programs and includes numerous engaging code examples to illustrate the methods

    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

    Understanding Computation explains theoretical computer science in a context you’ll recognize, helping you appreciate why these ideas matter and how they can inform your day-to-day programming.Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in modern languages, with little or no formal training in computer science.* Understand fundamental computing concepts, such as Turing completeness in languages* Discover how programs use dynamic semantics to communicate ideas to machines* Explore what a computer can do when reduced to its bare essentials* Learn how universal Turing machines led to today’s general-purpose computers* Perform complex calculations, using simple languages and cellular automata* Determine which programming language features are essential for computation* Examine how halting and self-referencing make some computing problems unsolvable* Analyze programs by using abstract interpretation and type systems

    . . . We need a good book in cyberethics to deal with the present and prepare us for an uncertain future. Tavani's Ethics and Technology is such a book." --from the foreword by James Moor, Dartmouth College Is there privacy in a world of camera phones and wireless networking? Does technology threaten your civil liberties? How will bioinformatics and nanotechnology affect us? Should you worry about equity and access in a globalized economy? From privacy and security to free speech and intellectual property to globalization and outsourcing, the issues and controversies of the information age are serious, complex, and pervasive. In this new edition of his groundbreaking book, Herman Tavani introduces computer professionals to the emerging field of Cyberethics, the interdisciplinary field of study that addresses these new ethical issues from all perspectives: technical, social, and philosophical. Using fascinating real-world examples--including the latest court decisions in such cases as Verizon v. RIAA, MGM v. Grokster, Google versus the Bush Administration, and the Children's Online Pornography Act (CIPA) --as well as hypothetical scenarios, he shows you how to understand and analyze the practical, moral, and legal issues that impact your work and your life. Tavani discusses such cutting-edge areas as: * Globalization and outsourcing * Property rights and open source software * HIPAA (privacy laws) and surveillance * The Patriot Act and civil liberties * Bioinformatics and genomics research * Converging technologies--pervasive computing and nanocomputing * Children's online pornography laws Updating and expanding upon the previous edition, Ethics and Technology, Second Edition provides a much-needed ethical compass to help computer and non-computer professionals alike navigate the challenging waters of cyberspace. About the Author Herman T. Tavani is Professor of Philosophy at Rivier College and Co-Director of the International Society for Ethics and Information Technology (INSEIT). He is the author, editor, or co-editor of five books on ethical aspects of information technology. www.wiley.com/college/tavani

    How can today's computers perform such a bewildering variety of tasks if computing is just glorified arithmetic? The answer, as Martin Davis lucidly illustrates, lies in the fact that computers are essentially engines of logic. Their hardware and software embody concepts developed over centuries by logicians such as Leibniz, Boole, and Godel, culminating in the amazing insights of Alan Turing. The Universal Computer traces the development of these concepts by exploring with captivating detail the lives and work of the geniuses who first formulated them. Readers will come away with a revelatory understanding of how and why computers work and how the algorithms within them came to be.

    In the tradition of Manning's ground breaking "In Action" series, this book comes from right from the source. Written by Bruce Payette, one of principal creators of PowerShell, Windows PowerShell in Action shows you how to build scripts and utilities to automate system tasks or create powerful system management tools to handle the day-to-day tasks that drive a Windows administrator's life. Because it's based on the .NET platform, PowerShell is also a powerful tool for developers and power users.Windows PowerShell in Action was written by Bruce Payette, one of the founding members of the Windows PowerShell team, co-designer of the PowerShell language and the principal author of the PowerShell language implementation. The book enables you to get the most out of the PowerShell environment. Using many examples, both small and large, this book illustrates the features of the language and environment and shows how to compose those features into solutions, quickly and effectively.This book is designed for anyone who wants to learn PowerShell and use it well. Rather than simply being a book of recipes to read and apply, this book gives you the deep knowledge about how PowerShell works and how to apply it.

    In this book, experts from Google share best practices to help your organization design scalable and reliable systems that are fundamentally secure.Two previous O'Reilly books from Google--Site Reliability Engineering and The Site Reliability Workbook--demonstrated how and why a commitment to the entire service lifecycle enables organizations to successfully build, deploy, monitor, and maintain software systems. In this latest guide, the authors offer insights into system design, implementation, and maintenance from practitioners who specialize in security and reliability. They also discuss how building and adopting their recommended best practices requires a culture that is supportive of such change.You'll learn about secure and reliable systems through:Design strategiesRecommendations for coding, testing, and debugging practicesStrategies to prepare for, respond to, and recover from incidentsCultural best practices that help teams across your organization collaborate effectively