Her victims never realize she’s given them a deadly disease. The cops will never arrest her. No jury will ever convict her. And no one can stop her—no one except her brother. Luke Johnson can heal by touch. He works as a night janitor in hospitals and nursing homes, healing patients as discretely as he can. Once people notice his work, he moves on to the next city—before the hired assassins arrive. Luke is a hunted man. His sister wants him dead because he knows her deepest secret. And she has big plans for her future only he can destroy.

    We don't do a chemical analysis on food we eat.Trust and cooperation are the first problems we had to solve before we could become a social species. In the 21st century, they have become the most important problems we need to solve — again. Our global society has become so large and complex that our traditional trust mechanisms no longer work.Bruce Schneier, world-renowned for his level-headed thinking on security and technology, tackles this complex subject head-on. Society can't function without trust, and yet must function even when people are untrustworthy.Liars and Outliers reaches across academic disciplines to develop an understanding of trust, cooperation, and social stability. From the subtle social cues we use to recognize trustworthy people to the laws that punish the noncompliant, from the way our brains reward our honesty to the bank vaults that keep out the dishonest, keeping people cooperative is a delicate balance of rewards and punishments. It's a series of evolutionary tricks, social pressures, legal mechanisms, and physical barriers.In the absence of personal relationships, we have no choice but to substitute security for trust, compliance for trustworthiness. This progression has enabled society to scale to unprecedented complexity, but has also permitted massive global failures.At the same time, too much cooperation is bad. Without some level of rule-breaking, innovation and social progress become impossible. Society stagnates.Today's problems require new thinking, and Liars and Outliers provides that. It is essential that we learn to think clearly about trust. Our future depends on it.

    His new and initially intimidating classmates were high achievers from the Ivy League and other elite universities around the nation. Stern pulls back the curtain on the intense and emotionally challenging lessons he and his fellow doctors learned while studying the human condition, and ultimately, the value of connection. The narrative focuses on these residents, their growth as doctors, and the life choices they make as they try to survive their grueling four-year residency. Most importantly, as they study how to help distressed patients in search of a better life, they discover the meaning of failure and the preciousness of success.

    It can be slipped into a drink, smeared onto the tip of an arrow or the handle of a door, even filtered through the air we breathe. But how exactly do these poisons work to break our bodies down, and what can we learn from the damage they inflict?In a blend of popular science, medical history, and true crime, Dr. Neil Bradbury explores the morbidly captivating method of murder from a cellular level. Alongside real-life accounts of murderers and their crimes—some notorious, some forgotten, some still unsolved—are the stories of the poisons involved: eleven molecules of death that work their way through the human body and, paradoxically, illuminate the way in which our bodies function.Drawn from historical records and current news headlines, A Taste for Poison weaves together the tales of spurned lovers, shady scientists, medical professionals and political assassins to show how the precise systems of the body can be impaired to lethal effect through the use of poison. From the deadly origins of the gin & tonic cocktail to the arsenic-laced wallpaper in Napoleon’s bedroom.

    Auerbach, City Historian, Passaic, New Jersey At the dawn of the 20th century, the social unrest in Paterson, New Jersey was palpable. Thousands of Dutch and Italian immigrants flocked to the city, hoping for a job in Paterson’s famous silk mills. The burgeoning population ushered women into the workplace, grew suffragist sympathies, and produced an anarchist movement.In this charged environment, Jennie Bosschieter, a 17-year-old Dutch immigrant and mill worker, was murdered. Sorrow turned to shock when four wealthy, influential citizens were accused of killing her. The resulting criminal trial held the city – and eventually the nation – transfixed.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    You might even be worried that these lapses in memory could be an early sign of Alzheimer's or dementia. In reality, for the vast majority of us, these examples of forgetting are completely normal. Why? Because while memory is amazing, it is far from perfect. Our brains aren't designed to remember every name we hear, plan we make, or day we experience. Just because your memory sometimes fails doesn't mean it's broken or succumbing to disease. Forgetting is actually part of being human. In Remember, neuroscientist and acclaimed novelist Lisa Genova delves into how memories are made and how we retrieve them. You'll learn whether forgotten memories are temporarily inaccessible or erased forever and why some memories are built to exist for only a few seconds (like a passcode) while others can last a lifetime (your wedding day). You'll come to appreciate the clear distinction between normal forgetting (where you parked your car) and forgetting due to Alzheimer's (that you own a car). And you'll see how memory is profoundly impacted by meaning, emotion, sleep, stress, and context. Once you understand the language of memory and how it functions, its incredible strengths and maddening weaknesses, its natural vulnerabilities and potential superpowers, you can both vastly improve your ability to remember and feel less rattled when you inevitably forget. You can set educated expectations for your memory, and in doing so, create a better relationship with it. You don't have to fear it anymore. And that can be life-changing.

    Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time.

      Do you remember your first visit to where the wild things are? How about curling up for hours on end to discover the secret of the Sorcerer’s Stone? Combining clear, practical advice with inspiration, wisdom, tips, and curated reading lists, How to Raise a Reader shows you how to instill the joy and time-stopping pleasure of reading.   Divided into four sections, from baby through teen, and each illustrated by a different artist, this book offers something useful on every page, whether it’s how to develop rituals around reading or build a family library, or ways to engage a reluctant reader. A fifth section, “More Books to Love: By Theme and Reading Level,” is chockful of expert recommendations. Throughout, the authors debunk common myths, assuage parental fears, and deliver invaluable lessons in a positive and easy-to-act-on way.

    This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.

    This means that we have made it easy for you to navigate the various chapters of this book. Some other versions of this book may not have the DirectLink technology built into them. We can guarantee that if you buy this version of the book it will be formatted perfectly on your Kindle.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    It’s about the greatest pirate in history, the most powerful executive in the music business, a revolutionary invention and an illegal website four times the size of the iTunes Music Store. Journalist Stephen Witt traces the secret history of digital music piracy, from the German audio engineers who invented the mp3, to a North Carolina compact-disc manufacturing plant where factory worker Dell Glover leaked nearly two thousand albums over the course of a decade, to the high-rises of midtown Manhattan where music executive Doug Morris cornered the global market on rap, and, finally, into the darkest recesses of the Internet.Through these interwoven narratives, Witt has written a thrilling book that depicts the moment in history when ordinary life became forever entwined with the world online — when, suddenly, all the music ever recorded was available for free. In the page-turning tradition of writers like Michael Lewis and Lawrence Wright, Witt’s deeply-reported first book introduces the unforgettable characters—inventors, executives, factory workers, and smugglers—who revolutionized an entire artform, and reveals for the first time the secret underworld of media pirates that transformed our digital lives.An irresistible never-before-told story of greed, cunning, genius, and deceit, How Music Got Free isn’t just a story of the music industry—it’s a must-read history of the Internet itself.

    There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained. This kind of experience is frustrating and leaves you with more questions than answers.Python Programming for Beginners doesn't make any assumptions about your background or knowledge of Python or computer programming. You need no prior knowledge to benefit from this book. You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon are encountered they are explained in plain language, making it easy for anyone to understand. Here is what you will learn by reading Python Programming for Beginners: When to use Python 2 and when to use Python 3. How to install Python on Windows, Mac, and Linux. Screenshots included. How to prepare your computer for programming in Python. The various ways to run a Python program on Windows, Mac, and Linux. Suggested text editors and integrated development environments to use when coding in Python. How to work with various data types including strings, lists, tuples, dictionaries, booleans, and more. What variables are and when to use them. How to perform mathematical operations using Python. How to capture input from a user. Ways to control the flow of your programs. The importance of white space in Python. How to organize your Python programs -- Learn what goes where. What modules are, when you should use them, and how to create your own. How to define and use functions. Important built-in Python functions that you'll use often. How to read from and write to files. The difference between binary and text files. Various ways of getting help and find Python documentation. Much more... Every single code example in the book is available to download, providing you with all the Python code you need at your fingertips! Scroll up, click the Buy Now With 1 Click button and get started learning Python today!

    Dyson traces the course of the information revolution, illuminating the lives and work of visionaries - from the time of Thomas Hobbes to the time of John von Neumann - who foresaw the development of artificial intelligence, artificial life, and artificial mind. This book derives both its title and its outlook from Samuel Butler's 1863 essay "Darwin Among the Machines." Observing the beginnings of miniaturization, self-reproduction, and telecommunication among machines, Butler predicted that nature's intelligence, only temporarily subservient to technology, would resurface to claim our creations as her own. Weaving a cohesive narrative among his brilliant predecessors, Dyson constructs a straightforward, convincing, and occasionally frightening view of the evolution of mind in the global network, on a level transcending our own. Dyson concludes that we are in the midst of an experiment that echoes the prehistory of human intelligence and the origins of life. Just as the exchange of coded molecular instructions brought life as we know it to the early earth's primordial soup, and as language and mind combined to form the culture in which we live, so, in the digital universe, are computer programs and worldwide networks combining to produce an evolutionary theater in which the distinctions between nature and technology are increasingly obscured. Nature, believes Dyson, is on the side of the machines.