There’s a famous piece of writing advice—offered by Ernest Hemingway, Stephen King, and myriad writers in between—not to use -ly adverbs like “quickly” or “fitfully.” It sounds like solid advice, but can we actually test it? If we were to count all the -ly adverbs these authors used in their careers, do they follow their own advice compared to other celebrated authors? What’s more, do great books in general—the classics and the bestsellers—share this trait?In Nabokov’s Favorite Word Is Mauve, statistician and journalist Ben Blatt brings big data to the literary canon, exploring the wealth of fun findings that remain hidden in the works of the world’s greatest writers. He assembles a database of thousands of books and hundreds of millions of words, and starts asking the questions that have intrigued curious word nerds and book lovers for generations: What are our favorite authors’ favorite words? Do men and women write differently? Are bestsellers getting dumber over time? Which bestselling writer uses the most clichés? What makes a great opening sentence? How can we judge a book by its cover? And which writerly advice is worth following or ignoring?

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    If you like fun, adventure, and interesting tech, you’ll be sure to love something within this collection. Comprising three full length novels, and two novellas, these stories will keep you entertained for many hours. Warning: Readers might not want to come back to the real world after adventuring through these stories. Hollow Space: Venture Forced to hyperjump during a brutal ambush, Sara Lorelle, navigator of the the last human colony ship, discovers they’ve jumped to somewhere that shouldn’t exist. Trapped inside a pocket universe known only as Hollow Space, where technology inexplicably fails, Sara and her crew have to face the lethal politics of their only destination: Haven—a decrepit space station, home to hostile aliens and rival factions that soon sees the Venture crew up to their necks in trouble. With their only hope placed in Tairon Cauder, a reckless scoundrel, they will battle impossible species, confront their fears, and uncover ancient and terrible secrets. In a place where those who shoot first live the longest, the Venture crew will have to push their limits if they are to save themselves and the human race from extinction. Hollow Space: Shadowkill Kina wants to be an assassin—to join the mysterious Wraiths and secure her future on the space station of Haven. A place where it’s kill or be killed and career options are limited. But Haven is not your granddad’s space station. It’s rotten to the core and every scumbag is out for one thing only: themselves. With just her two daggers for protection, Kina is thrown into the darkness to confront a pack of bounty hunters eager to end her ambitions—and life. Code Breakers: Alpha In a post-apocalyptic future, humanity survives within a single domed city run by a shadowy benefactor known only as The Family. Each week the death lottery claims more lives and Gerry Cardle, head of the lottery, inexplicably finds himself the next on the list. Something's wrong with the system. A deadly artificial intelligence has breached security. Gerry has just 7 days to live. Forced off the grid, Gerry has to do the unthinkable: willingly leave the city. What he finds in the abandoned lands will shatter his perception of what it means to be human. Everything he had been told before was a lie. Code Breakers: Beta The fanatical Red Widows sweep destruction across the abandoned lands. Their aggression threatens to destroy the city Gerry had risked his life to save. Petal, the woman Gerry has come to love is dying. The despotic cabal, The Family, demand he brings her to them, but she's missing, running from the Widows, searching for the truth of her origins before it's too late. When their paths cross, Petal and Gerry will hold the fate of humankind in their hands—if they can survive the malevolent digital entity that stalks them from the shadows. The Daedalus Code When agents Phaedra and Aegeus of New Crete's Intelligent Data Enforcement Agency are tasked to find five missing Artificial Intelligence students, their single lead takes them to a notorious hacker known as 'The Cretian.' With his help, they uncover a terrible truth: Ariadne, one of the students, is involved with a rogue AI program called The Daedalus Project. The AI is out of control, people are going missing, and a great swathe of the world’s data is being secured within its digital labyrinth.

    She never expected a simple act of kindness would be life altering. Reyan comes into her life threatening to shake up her focus and challenges her resolve. He is everything Vinnie wants in a man and he shows up just when she thought she had everything she needed to stay focused on her life and her goals.Will he crack her titanium tough exterior and get to her heart? Will she let him into her life especially with what she has been through since she was ten? Will she trust Reyan to help her recover from her emotional wounds? Will she get to the bottom of why people think they have seen her at places that she has never been to before. Does she have a doppleganger or a twin?Follow Vinnie's and Reyan's love story as she learns the true meaning of love, trust and family.

    In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.

    Everything. Yet, in recent years discoveries in physics and cosmology have led a number of scientists to conclude that our universe may be one among many. With crystal-clear prose and inspired use of analogy, Brian Greene shows how a range of different “multiverse” proposals emerges from theories developed to explain the most refined observations of both subatomic particles and the dark depths of space: a multiverse in which you have an infinite number of doppelgängers, each reading this sentence in a distant universe; a multiverse comprising a vast ocean of bubble universes, of which ours is but one; a multiverse that endlessly cycles through time, or one that might be hovering millimeters away yet remains invisible; another in which every possibility allowed by quantum physics is brought to life. Or, perhaps strangest of all, a multiverse made purely of math.Greene, one of our foremost physicists and science writers, takes us on a captivating exploration of these parallel worlds and reveals how much of reality’s true nature may be deeply hidden within them. And, with his unrivaled ability to make the most challenging of material accessible and entertaining, Greene tackles the core question: How can fundamental science progress if great swaths of reality lie beyond our reach?Sparked by Greene’s trademark wit and precision, The Hidden Reality is at once a far-reaching survey of cutting-edge physics and a remarkable journey to the very edge of reality—a journey grounded firmly in science and limited only by our imagination.

    Lacking the ability to measure their longitude, sailors throughout the great ages of exploration had been literally lost at sea as soon as they lost sight of land. Thousands of lives, and the increasing fortunes of nations, hung on a resolution.The scientific establishment of Europe—from Galileo to Sir Issac Newton—had mapped the heavens in both hemispheres in its certain pursuit of a celestial answer. In stark contrast, one man, John Harrison, dared to imagine a mechanical solution—a clock that would keep precise time at sea, something no clock had ever been able to do on land. Longitude is a dramatic human story of an epic scientific quest and Harrison's forty-year obsession with building his perfect timekeeper, known today as the chronometer. Full of heroism and chicanery, it is also a fascinating brief history of astronomy, navigation, and clock-making, and opens a new window on our world.On its 10th anniversary, a gift edition of this classic book, with a forward by one of history's greatest explorers, and eight pages of color illustrations.

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

    Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

    I spent time looking for a book which would show me how a "raw" story was developed through drafts, with comments received and the changes made. Struggling to find such a work, I decided to create my own, being transparent and honest in the details. Using the story that gained me an offer of a place on a Master's in Creative Writing, SHORT STORY will take you through three drafts of the work.The book details not only the major revisions, feedback given by a professional novelist and an academic, but also has a bunch of tips from my writers toolbox condensed between the drafts. I hope that the process provides something useful for you, be it a tip from the writing toolbox, a look at the editing process, or motivation in knowing that you can do better than I did!

     It's a new school year, and Amanda AMAZon (please say it right) finds herself thrust into middle school, where lifelong friendships are formed, lifelong bullies are the norm! Amanda's got her best friend Kanti along for the ride, it's all Amanda can do to keep from ripping the annoying neighbor BUG to shreds! But when the 3 mean girls on the soccer team zero in on Amanda, she finds some interesting allies on the way to surviving the school's most feared trio! Here's what to do next: 1. Scroll up, 2. Click the buy button, and 3. Watch as you and your kids giggle and cheer through this hilariously wacky adventure! --- Paul Coleman said: "In the world today I think we need all the positive stuff we can get. I love the "can-do" attitude of this book. We can make our lives and the lives of others better. We simply need to decide to do it, be brave, and take action." --- Here's what to do next, Moms: 1. Scroll up, 2. Click the buy button, and 3. Watch as you and your kids giggle and cheer through this hilariously wacky adventure! Thank you for the privilege of being a small part of your child's favorite memories with you. We cherish that role, here at Brave Little Heroes. And we won't let either of you down. Bolaji O. Chief Storyteller at Brave Little Heroes

    So when she discovers the picturesque cottage for sale on the internet she instantly falls in love with the place and when her husband John agrees to view the property she comes to believe that it is written in the stars that this will be their new forever home. Rosebud Cottage sits on the clifftops commanding breath-taking views of the sea, a vista that is forever changing, and one that instantly fills them both with a sense of belonging. Though things are about to change, as a simple walk on the pebbled beach at Seaview Cove turns into a nightmare for Emily as she discovers a body hidden by the rocks, a man is sprawled on the stones, eyes closed, arms outstretched his wild black hair matted with blood. Though by the time she raises the alarm and dashes back to the beach she is left stunned to find the man has vanished. So starts the mind bending mystery as Emily tries to navigate her way through the labyrinth of her own mind, and as those around her become more concerned with her behaviour, she finds herself doubting her own sanity. As obsession takes over, Emily comes to realise that sometimes even the most tranquil of surroundings can mask the most devastating of crimes. As the weather changes and the storms arrive Emily Green finds herself trapped in a dark place, a place where even her own senses are not to be trusted. And as she tries to hold onto her sanity, someone is watching from the shadows, someone with evil on their mind.

    Got a sweet tooth?... Can't wait till dinner time?... Here's 49 (extremely silly) ways to reach the Cookie Jar! Join the hilarious adventure of these cheeky kids who will try absolutely anything to get their hands on the Cookie Jar. With an illustration for each haphazard attempt, you're guaranteed to laugh, smirk, and chuckle for hours. Disclaimer: reading this eBook will probably make you giggle, but won't help you get a cookie. Recommended Age: 10+

    Newly graduated, she arrived back in her home town to discover that if it wasn’t for bad, she wouldn’t have any luck at all. Her grandmother is in the beginning stages of Alzheimer’s and the financial nest egg her grandfather spent years building has disappeared. When he isn’t kissing her senselessly, the man of her dreams seems to be very much involved with someone else. The only job she can get involves large hairy animals. And, when it comes to fairy godmothers, she’s definitely scraping the bottom of the barrel.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results