Whether you're writing a rags-to-riches tell-all memoir or literary journalism, telling true stories well is hard work. In You Can't Make This Stuff Up, Lee Gutkind, the go-to expert for all things creative nonfiction, offers his unvarnished wisdom to help you craft the best writing possible. Frank, to-the-point, and always entertaining, Gutkind describes and illustrates every aspect of the genre. Invaluable tools and exercises illuminate key steps, from defining a concept and establishing a writing process to the final product. Offering new ways of understanding the genre, this practical guidebook will help you thoroughly expand and stylize your work.

    In this book-length essay, he offers a full range of notes and gives rare insight into a veteran writer’s process by inviting the reader to watch over his shoulder as he creates the short story “The Governor’s Ball.”“This is a story of a story,” he begins, and proceeds to offer practical advice for creating a great story, from the first glimmer of an idea to the final sentence. Carlson urges the writer to refuse the outside distractions—a second cup of coffee, a troll through the dictionary—and attend to the necessity of uncertainty, the pleasures of an unfolding story.“The Governor’s Ball”—included in its entirety—serves as a fascinating illustration of the detailed anatomy of a short story.

    Completely updated and revised by preeminent historian J. M. Roberts, this volume features ninety up-to-date maps, new sections, and extremely well-written and accessible articles throughout. Truly global and comprehensive, it succeeds in conveying the staggering diversity of the human experience across a vast range of climates and conditions. This is the one book for anyone interested in the variety and grandeur of history’s march.

    Now a world-renowned expert gives us a substantially updated and augmented edition of her classic work: drawing on an additional fifteen years of cutting-edge research, offering new information on all aspects of dyslexia and reading problems, and providing the tools that parents, teachers, and all dyslexic individuals need. This new edition also offers:- New material on the challenges faced by dyslexic individuals across all ages - Rich information on ongoing advances in digital technology that have dramatically increased dyslexics' ability to help themselves - New chapters on diagnosing dyslexia, choosing schools and colleges for dyslexic students, the co-implications of anxiety, ADHD, and dyslexia, and dyslexia in post-menopausal women - Extensively updated information on helping both dyslexic children and adults become better readers, with a detailed home program to enhance reading - Evidence-based universal screening for dyslexia as early as kindergarten and first grade - why and how - New information on how to identify dyslexia in all age ranges - Exercises to help children strengthen the brain areas that control reading - Ways to raise a child's self-esteem and reveal her strengths - Stories of successful men, women, and young adults who are dyslexic

    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