A page-turning true story of international scandal and corruption at the very highest levels of corporate America, this thriller unveils botched crimes, courtroom drama, suicide attempts, and an immense tangle of lies and deception.

    These luminous, entertaining essays travel both the vastness of the cosmos and the intimacy of the human mind, posing such fascinating questions as how did the universe originate and how will it end, and how can we meld science and compassion to meet the challenges of the coming century? Here, too, is a rare, private glimpse of Sagan's thoughts about love, death, and God as he struggled with fatal disease. Ever forward-looking and vibrant with the sparkle of his unquenchable curiosity, Billions & Billions is a testament to one of the great scientific minds of our day.

    The Google Story takes you deep inside the company's wild ride from an idea that struggled for funding in 1998 to a firm that rakes in billions in profits, making Brin and Page the wealthiest young men in America. Based on scrupulous research and extraordinary access to Google, this fast-moving narrative reveals how an unorthodox management style and culture of innovation enabled a search engine to shake up Madison Avenue and Wall Street, scoop up YouTube, and battle Microsoft at every turn. Not afraid of controversy, Google is expanding in Communist China and quietly working on a searchable genetic database, initiatives that test the founders' guiding mantra: DON'T BE EVIL.

    Our bodies are hardwired for sweets, so food giants have developed fifty-six types of sugar to add to their products, creating in us the expectation that everything should be cloying; we've evolved to prefer fast, convenient meals, hence our modern-day preference for ready-to-eat foods. Moss goes on to show how the processed food industry--including major companies like Nestlé, Mars, and Kellogg's--has tried not only to evade this troubling discovery about the addictiveness of food but to actually exploit it. For instance, in response to recent dieting trends, food manufacturers have simply turned junk food into junk diets, filling grocery stores with "diet" foods that are hardly distinguishable from the products that got us into trouble in the first place. As obesity rates continue to climb, manufacturers are now claiming to add ingredients that can effortlessly cure our compulsive eating habits. An account of the legal battles, insidious marketing campaigns, and cutting-edge food science that have brought us to our current public health crisis, Moss lays out all that the food industry is doing to exploit and deepen our addictions, and shows us why what we eat has never mattered more.From the #1 New York Times bestselling author of Salt Sugar Fat comes a powerful exposé of how the processed food industry exploits our evolutionary instincts, the emotions we associate with food, and legal loopholes in their pursuit of profit over public health.

    These are the very same behaviors that typify good soldiering and foster a sense of belonging among troops, whether they’re fighting on the front lines or engaged in non-combat activities away from the action. Drawing from history, psychology, and anthropology, bestselling author Sebastian Junger shows us just how at odds the structure of modern society is with our tribal instincts, arguing that the difficulties many veterans face upon returning home from war do not stem entirely from the trauma they’ve suffered, but also from the individualist societies they must reintegrate into.A 2011 study by the Canadian Forces and Statistics Canada reveals that 78 percent of military suicides from 1972 to the end of 2006 involved veterans. Though these numbers present an implicit call to action, the government is only just taking steps now to address the problems veterans face when they return home. But can the government ever truly eliminate the challenges faced by returning veterans? Or is the problem deeper, woven into the very fabric of our modern existence? Perhaps our circumstances are not so bleak, and simply understanding that beneath our modern guises we all belong to one tribe or another would help us face not just the problems of our nation but of our individual lives as well.Well-researched and compellingly written, this timely look at how veterans react to coming home will reconceive our approach to veteran’s affairs and help us to repair our current social dynamic.

    But the most important, consequential, and widening gap in American society is between the upper middle class and everyone else.Reeves defines the upper middle class as those whose incomes are in the top 20 percent of American society. Income is not the only way to measure a society, but in a market economy it is crucial because access to money generally determines who gets the best quality education, housing, health care, and other necessary goods and services.As Reeves shows, the growing separation between the upper middle class and everyone else can be seen in family structure, neighborhoods, attitudes, and lifestyle. Those at the top of the income ladder are becoming more effective at passing on their status to their children, reducing overall social mobility. The result is not just an economic divide but a fracturing of American society along class lines. Upper-middle-class children become upper-middle-class adults.These trends matter because the separation and perpetuation of the upper middle class corrode prospects for more progressive approaches to policy. Various forms of “opportunity hoarding” among the upper middle class make it harder for others to rise up to the top rung. Examples include zoning laws and schooling, occupational licensing, college application procedures, and the allocation of internships. Upper-middle-class opportunity hoarding, Reeves argues, results in a less competitive economy as well as a less open society.Inequality is inevitable and can even be good, within limits. But Reeves argues that society can take effective action to reduce opportunity hoarding and thus promote broader opportunity. This fascinating book shows how American society has become the very class-defined society that earlier Americans rebelled against—and what can be done to restore a more equitable society.

    Master Python Programming with a unique Hands-On Project Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning the Python language fast? This book is for you. You no longer have to waste your time and money learning Python from lengthy books, expensive online courses or complicated Python tutorials. What this book offers... Python for Beginners Complex concepts are broken down into simple steps to ensure that you can easily master the Python language even if you have never coded before. Carefully Chosen Python Examples Examples are carefully chosen to illustrate all concepts. In addition, the output for all examples are provided immediately so you do not have to wait till you have access to your computer to test the examples. Careful selection of topics Topics are carefully selected to give you a broad exposure to Python, while not overwhelming you with information overload. These topics include object-oriented programming concepts, error handling techniques, file handling techniques and more. Learn The Python Programming Language Fast Concepts are presented in a "to-the-point" style to cater to the busy individual. With this book, you can learn Python in just one day and start coding immediately. How is this book different... The best way to learn Python is by doing. This book includes a complete project at the end of the book that requires the application of all the concepts taught previously. Working through the project will not only give you an immense sense of achievement, it"ll also help you retain the knowledge and master the language. Are you ready to dip your toes into the exciting world of Python coding? This book is for you. With the first edition of this book being a #1 best-selling programming ebook on Amazon for more than a year, you can rest assured that this new and improved edition is the perfect book for you to learn the Python programming language fast. Click the BUY button and download it now. What you'll learn: - What is Python? - What software you need to code and run Python programs? - What are variables? - What are the common data types in Python? - What are Lists and Tuples? - How to format strings - How to accept user inputs and display outputs - How to control the flow of program with loops - How to handle errors and exceptions - What are functions and modules? - How to define your own functions and modules - How to work with external files - What are objects and classes - How to write your own class - What is inheritance - What are properties - What is name mangling .. and more... Finally, you'll be guided through a hands-on project that requires the application of all the topics covered. Click the BUY button and download the book now to start learning Python. Learn it fast and learn it well. Tags: ------------ Python, Object-oriented Python, Python course, Python book, learning Python, Python language, Python examples, Python tutorials, Python programming language, Python coding, Pyth

    Hackers can activate baby monitors to spy on families, thieves are analyzing social media posts to plot home invasions, and stalkers are exploiting the GPS on smart phones to track their victims’ every move. We all know today’s criminals can steal identities, drain online bank accounts, and wipe out computer servers, but that’s just the beginning. To date, no computer has been created that could not be hacked—a sobering fact given our radical dependence on these machines for everything from our nation’s power grid to air traffic control to financial services.      Yet, as ubiquitous as technology seems today, just over the horizon is a tidal wave of scientific progress that will leave our heads spinning. If today’s Internet is the size of a golf ball, tomorrow’s will be the size of the sun. Welcome to the Internet of Things, a living, breathing, global information grid where every physical object will be online. But with greater connections come greater risks. Implantable medical devices such as pacemakers can be hacked to deliver a lethal jolt of electricity and a car’s brakes can be disabled at high speed from miles away. Meanwhile, 3-D printers can produce AK-47s, bioterrorists can download the recipe for Spanish flu, and cartels are using fleets of drones to ferry drugs across borders.     With explosive insights based upon a career in law enforcement and counterterrorism, Marc Goodman takes readers on a vivid journey through the darkest recesses of the Internet. Reading like science fiction, but based in science fact, Future Crimes explores how bad actors are primed to hijack the technologies of tomorrow, including robotics, synthetic biology, nanotechnology, virtual reality, and artificial intelligence. These fields hold the power to create a world of unprecedented abundance and prosperity. But the technological bedrock upon which we are building our common future is deeply unstable and, like a house of cards, can come crashing down at any moment.     Future Crimes provides a mind-blowing glimpse into the dark side of technological innovation and the unintended consequences of our connected world. Goodman offers a way out with clear steps we must take to survive the progress unfolding before us. Provocative, thrilling, and ultimately empowering, Future Crimes will serve as an urgent call to action that shows how we can take back control over our own devices and harness technology’s tremendous power for the betterment of humanity—before it’s too late.From the Hardcover edition.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.