He has also sifted through reams of engineering reports, lawsuit transcripts, and financial filings. The result is an essential book—a commanding piece of journalism, an astounding study of human ingenuity, and an epic work of storytelling.Fracking has vociferous critics and fervent defenders, but the debate between these camps has obscured the actual story: Fracking has become a fixture of the American landscape and the global economy. It has upended the business models of energy companies around the globe, and it has started to change geopolitics and global energy markets in profound ways. Gold tells the story of this once-obscure oilfield technology—a story with an incredible cast of tycoons and geologists, dreamers and drillers, speculators and skeptics, a story that answers a critical question of our time: Where will the energy come from to power our world—and what price will we have to pay for it?

    Everyone, that is, except a few reckless wildcatters - who risked their careers to prove the world wrong. Things looked grim for American energy in 2006. Oil production was in steep decline and natural gas was hard to find. The Iraq War threatened the nation’s already tenuous relations with the Middle East. China was rapidly industrializing and competing for resources. Major oil companies had just about given up on new discoveries on U.S. soil, and a new energy crisis seemed likely.But a handful of men believed everything was about to change. Far from the limelight, Aubrey McClendon, Harold Hamm, Mark Papa, and other wildcatters were determined to tap massive deposits of oil and gas that Exxon, Chevron, and other giants had dismissed as a waste of time. By experimenting with hydraulic fracturing through extremely dense shale—a process now known as fracking—the wildcatters started a revolution. In just a few years, they solved America’s dependence on imported energy, triggered a global environmental controversy—and made and lost astonishing fortunes.No one understands these men—their ambitions, personalities, methods, and foibles—better than the award-winning Wall Street Journal reporter Gregory Zuckerman. His exclusive access enabled him to get close to the frackers and chronicle the untold story of how they transformed the nation and the world. The result is a dramatic narrative tracking a brutal competition among headstrong drillers. It stretches from the barren fields of North Dakota and the rolling hills of northeastern Pennsylvania to cluttered pickup trucks in Texas and tense Wall Street boardrooms.Activists argue that the same methods that are creating so much new energy are also harming our water supply and threatening environmental chaos. The Frackers tells the story of the angry opposition unleashed by this revolution and explores just how dangerous fracking really is.The frackers have already transformed the economic, environmental, and geopolitical course of history. Now, like the Rockefellers and the Gettys before them, they’re using their wealth and power to influence politics, education, entertainment, sports, and many other fields. Their story is one of the most important of our time.MEET THE FRACKERSGEORGE MITCHELL, the son of a Greek goatherd, who tried to tap rock that experts deemed worthless but faced an unexpected obstacle in his quest to change history.AUBREY McCLENDON, the charismatic scion of an Oklahoma energy family, who scored billions leading a historic land grab. He wasn’t prepared for the shocking fallout of his discoveries.TOM WARD, who overcame a troubled childhood to become one of the nation’s wealthiest men. He could handle natural-gas fields but had more trouble with a Wall Street power broker.HAROLD HAMM, the son of poor sharecroppers, who believed America had more oil than anyone imagined. Hamm was determined to find the crude before others caught on.CHARIF SOUKI, the dashing Lebanese immigrant who saw his career crumble and his fortune disintegrate, leaving one last, unlikely chance for success.MARK PAPA, the Enron castoff who panicked when he realized a resurgence of American natural gas was at hand, one that his company wasn’t prepared for.

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    Prized as “the best stone in Britain” by Roman invaders who carved jewelry out of it, coal has transformed societies, expanded frontiers, and sparked social movements, and still powers our electric grid. Yet coal’s world-changing power has come at a tremendous price, including centuries of blackening our skies and lungs—and now the dangerous warming of our global climate. Ranging from the “great stinking fogs” of London to the rat-infested coal mines of Pennsylvania, from the impoverished slums of Manchester to the toxic streets of Beijing, Coal is a captivating narrative about an ordinary substance with an extraordinary impact on human civilization.

    It took the open source world by storm since its inception in 2005, and is used by small development shops and giants like Google, Red Hat, and IBM, and of course many open source projects.A book by Git experts to turn you into a Git expert. Introduces the world of distributed version control Shows how to build a Git development workflow.

    Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be reasoned out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem.

    There are updates throughout the book as well. These take into account important advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. The chapter "Economic Reality" has also been revised to reflect a change in emphasis in Simon's thinking about the respective roles of organizations and markets in economic systems."People sometimes ask me what they should read to find out about artificial intelligence. Herbert Simon's book The Sciences of the Artificial is always on the list I give them. Every page issues a challenge to conventional thinking, and the layman who digests it well will certainly understand what the field of artificial intelligence hopes to accomplish. I recommend it in the same spirit that I recommend Freud to people who ask about psychoanalysis, or Piaget to those who ask about child psychology: If you want to learn about a subject, start by reading its founding fathers." -- George A. Miller

     -Byte, September 1995 I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me! I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up. -Charles Long If you think you're a really good programmer... read [Knuth's] Art of Computer Programming... You should definitely send me a resume if you can read the whole thing. -Bill Gates It's always a pleasure when a problem is hard enough that you have to get the Knuths off the shelf. I find that merely opening one has a very useful terrorizing effect on computers. -Jonathan Laventhol This first volume in the series begins with basic programming concepts and techniques, then focuses more particularly on information structures-the representation of information inside a computer, the structural relationships between data elements and how to deal with them efficiently. Elementary applications are given to simulation, numerical methods, symbolic computing, software and system design. Dozens of simple and important algorithms and techniques have been added to those of the previous edition. The section on mathematical preliminaries has been extensively revised to match present trends in research. Ebook (PDF version) produced by Mathematical Sciences Publishers (MSP), http: //msp.org

    Cooper details many of these meta functions to explain his central thesis: programmers need to seriously re-evaluate the many user-hostile concepts deeply embedded within the software development process. Rather than provide users with a straightforward set of options, programmers often pile on the bells and whistles and ignore or de-prioritise lingering bugs. For the average user, increased functionality is a great burden, adding to the recurrent chorus that plays: "computers are hard, mysterious, unwieldy things." (An average user, Cooper asserts, who doesn't think that way or who has memorised all the esoteric commands and now lords it over others, has simply been desensitised by too many years of badly designed software.) Cooper's writing style is often overblown, with a pantheon of cutesy terminology (i.e. "dancing bearware") and insider back-patting. (When presenting software to Bill Gates, he reports that Gates replied: "How did you do that?" to which he writes: "I love stumping Bill!") More seriously, he is also unable to see beyond software development's importance--a sin he accuses programmers of throughout the book. Even with that in mind, the central questions Cooper asks are too important to ignore: Are we making users happier? Are we improving the process by which they get work done? Are we making their work hours more effective? Cooper looks to programmers, business managers and what he calls "interaction designers" to question current assumptions and mindsets. Plainly, he asserts that the goal of computer usage should be "not to make anyone feel stupid." Our distance from that goal reinforces the need to rethink entrenched priorities in software planning. -- Jennifer Buckendorff, Amazon.com

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Charles Perrow argues that the conventional engineering approach to ensuring safety--building in more warnings and safeguards--fails because systems complexity makes failures inevitable. He asserts that typical precautions, by adding to complexity, may help create new categories of accidents. (At Chernobyl, tests of a new safety system helped produce the meltdown and subsequent fire.) By recognizing two dimensions of risk--complex versus linear interactions, and tight versus loose coupling--this book provides a powerful framework for analyzing risks and the organizations that insist we run them.The first edition fulfilled one reviewer's prediction that it may mark the beginning of accident research. In the new afterword to this edition Perrow reviews the extensive work on the major accidents of the last fifteen years, including Bhopal, Chernobyl, and the Challenger disaster. The new postscript probes what the author considers to be the quintessential 'Normal Accident' of our time: the Y2K computer problem.

    These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of Web intelligence, as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected.Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain.

    Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently. Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.

    New languages, new frameworks, new ways of doing things - a constant struggle just to stay current in the industry. This left no time to learn the foundational concepts and skills that come with a degree in Computer Science.

    Author Jigar Shah, internationally recognized for revolutionizing the now multi-billion-dollar solar energy industry, outlines how entrepreneurs and investors can unlock the massive potential that climate change represents. Shah argues that, while new technical innovation is valuable, deployment of existing technologies are the key to reaching our near-term climate targets. Rather than waiting for yet to be developed technology, business model innovation is the key to attract mainstream capital and unlock transformational change. Shah makes a compelling case for reaching our 2020 climate change goals through 100,000 companies worldwide, each generating $100 million in sales. Unlocking our next economy will be driven by thousands of companies deploying existing clean and resource-efficient technologies in electricity-supply (like solar), transportation, building materials, industry, forestry, waste, and agriculture. Shah is not alone; according to the International Energy Agency, and others, $10 trillion can be invested profitably—today—in the world’s existing technologies, making Shah’s plan of 100,000 companies each generating $100 million in sales a reality in catalyzing a new economy in the process. Creating Climate Wealth is also the personal story of Shah’s journey through the solar industry and the founding of SunEdison, the world’s largest solar energy company. Through business model innovations, SunEdison helped trigger the multi-billion dollar solar energy services industry. Shah’s revolutionary approach has been emulated throughout the solar industry. But perhaps more important, it is also being adapted for other industrial sectors like agriculture and transportation – unlocking incredible new revenue streams, creating hundreds of thousands of jobs, and positively transforming the planet on a global level. This implementation of business-based solutions to solve complex social problems represents a new economic movement; driven by “Impact Investments.” Impact Investments are changing the world for the better, promoting development and economic growth, and encouraging local entrepreneurship. Unlocking these opportunities represent the largest wealth creation opportunity of our generation. Whether you are interested in climate change, poverty alleviation, or just promoting projects that make financial sense, this book is for you. Jigar Shah provides a proven roadmap to understanding the Impact Economy, and creating the lasting changes that will improve our world for future generations.