While We Re Far Apart

In an unassuming apartment building in Brooklyn, New York, three lives intersect as the reality of war invades each aspect of their lives. Young Esther is heartbroken when her father decides to enlist in the army shortly after the death of her mother. Penny Goodrich has been in love with Eddie Shaffer for as long as she can remember; now that Eddie's wife is dead, Penny feels she has been given a second chance and offers to care for his children in the hope that he will finally notice her and marry her after the war. And elderly Mr. Mendel, the landlord, waits for the war to end to hear what has happened to his son trapped in war-torn Hungary. But during the long, endless wait for victory overseas, life on the home front will go from bad to worse. Yet these characters will find themselves growing and changing in ways they never expected--and ultimately discovering truths about God's love...even when He is silent.

Long-distance relationships can be difficult. Whether you’re dating, long-married, one of you has been promoted to a different city, or you live a bi-coastal lifestyle, the information and guidelines in this book helps you keep your relationship connected when you’re disconnected.

NOW AN EMMY-NOMINATED HULU ORIGINAL SERIES • NEW YORK TIMES BESTSELLER • LONGLISTED FOR THE BOOKER PRIZE • “A stunning novel about the transformative power of relationships” (People) from the author of Conversations with Friends, “a master of the literary page-turner” (J. Courtney Sullivan). “[A] novel that demands to be read compulsively, in one sitting.”—The Washington Post ONE OF ENTERTAINMENT WEEKLY’S TEN BEST NOVELS OF THE DECADE TEN BEST BOOKS OF THE YEAR: People, Slate, The New York Public Library, Harvard Crimson Connell and Marianne grew up in the same small town, but the similarities end there. At school, Connell is popular and well liked, while Marianne is a loner. But when the two strike up a conversation—awkward but electrifying—something life changing begins. A year later, they’re both studying at Trinity College in Dublin. Marianne has found her feet in a new social world while Connell hangs at the sidelines, shy and uncertain. Throughout their years at university, Marianne and Connell circle one another, straying toward other people and possibilities but always magnetically, irresistibly drawn back together. And as she veers into self-destruction and he begins to search for meaning elsewhere, each must confront how far they are willing to go to save the other. Normal People is the story of mutual fascination, friendship, and love. It takes us from that first conversation to the years beyond, in the company of two people who try to stay apart but find that they can’t. WINNER: The British Book Award, The Costa Book Award, The An Post Irish Novel of the Year, Sunday Times Young Writer of the Year Award BEST BOOKS OF THE YEAR: The New York Times, The New York Times Book Review, Oprah Daily, Time, NPR, The Washington Post, Vogue, Esquire, Glamour, Elle, Marie Claire, Vox, The Paris Review, Good Housekeeping, Town & Country

Includes an excerpt from Austin's next book.

With his stunning debut novel, She's Come Undone, Wally Lamb won the adulation of critics and readers with his mesmerizing tale of one woman's painful yet triumphant journey of self-discovery. Now, this brilliantly talented writer returns with I Know This Much Is True, a heartbreaking and poignant multigenerational saga of the reproductive bonds of destruction and the powerful force of forgiveness. A masterpiece that breathtakingly tells a story of alienation and connection, power and abuse, devastation and renewal--this novel is a contemporary retelling of an ancient Hindu myth. A proud king must confront his demons to achieve salvation. Change yourself, the myth instructs, and you will inhabit a renovated world. When you're the same brother of a schizophrenic identical twin, the tricky thing about saving yourself is the blood it leaves on your bands--the little inconvenience of the look-alike corpse at your feet. And if you're into both survival of the fittest and being your brother's keeper--if you've promised your dying mother--then say so long to sleep and hello to the middle of the night. Grab a book or a beer. Get used to Letterman's gap-toothed smile of the absurd, or the view of the bedroom ceiling, or the influence of random selection. Take it from a godless insomniac. Take it from the uncrazy twin--the guy who beat the biochemical rap. Dominick Birdsey's entire life has been compromised and constricted by anger and fear, by the paranoid schizophrenic twin brother he both deeply loves and resents, and by the past they shared with their adoptive father, Ray, a spit-and-polish ex-Navy man (the five-foot-six-inch sleeping giant who snoozed upstairs weekdays in the spare room and built submarines at night), and their long-suffering mother, Concettina, a timid woman with a harelip that made her shy and self-conscious: She holds a loose fist to her face to cover her defective mouth--her perpetual apology to the world for a birth defect over which she'd had no control. Born in the waning moments of 1949 and the opening minutes of 1950, the twins are physical mirror images who grow into separate yet connected entities: the seemingly strong and protective yet fearful Dominick, his mother's watchful "monkey"; and the seemingly weak and sweet yet noble Thomas, his mother's gentle "bunny." From childhood, Dominick fights for both separation and wholeness--and ultimately self-protection--in a house of fear dominated by Ray, a bully who abuses his power over these stepsons whose biological father is a mystery. I was still afraid of his anger but saw how he punished weakness--pounced on it. Out of self-preservation I hid my fear, Dominick confesses. As for Thomas, he just never knew how to play defense. He just didn't get it. But Dominick's talent for survival comes at an enormous cost, including the breakup of his marriage to the warm, beautiful Dessa, whom he still loves. And it will be put to the ultimate test when Thomas, a Bible-spouting zealot, commits an unthinkable act that threatens the tenuous balance of both his and Dominick's lives. To save himself, Dominick must confront not only the pain of his past but the dark secrets he has locked deep within himself, and the sins of his ancestors--a quest that will lead him beyond the confines of his blue-collar New England town to the volcanic foothills of Sicily 's Mount Etna, where his ambitious and vengefully proud grandfather and a namesake Domenico Tempesta, the sostegno del famiglia, was born. Each of the stories Ma told us about Papa reinforced the message that he was the boss, that he ruled the roost, that what he said went. Searching for answers, Dominick turns to the whispers of the dead, to the pages of his grandfather's handwritten memoir, The History of Domenico Onofrio Tempesta, a Great Man from Humble Beginnings. Rendered with touches of magic realism, Domenico's fablelike tale--in which monkeys enchant and religious statues weep--becomes the old man's confession--an unwitting legacy of contrition that reveals the truth's of Domenico's life, Dominick learns that power, wrongly used, defeats the oppressor as well as the oppressed, and now, picking through the humble shards of his deconstructed life, he will search for the courage and love to forgive, to expiate his and his ancestors' transgressions, and finally to rebuild himself beyond the haunted shadow of his twin. Set against the vivid panoply of twentieth-century America and filled with richly drawn, memorable characters, this deeply moving and thoroughly satisfying novel brings to light humanity's deepest needs and fears, our aloneness, our desire for love and acceptance, our struggle to survive at all costs. Joyous, mystical, and exquisitely written, I Know This Much Is True is an extraordinary reading experience that will leave no reader untouched.

Barbara and Frank decided to take a small retirement pension, a tiny motor home, a large cat, Felix, and move to another part of the country. It was time to pull up stakes, leaving familiar faces and places behind-and find new ones. "East or West?" Frank asked. "Why don't we do what the song says and motor west," Barbara replied. "I vote for that," Frank agreed. Felix did not get a vote. So away they went. This is the story of that journey. Illustrated by the author

Gain a working knowledge of advanced machine learning and explore Python’s powerful tools for extracting data from images and videos Key FeaturesImplement image classification and object detection using machine learning and deep learningPerform image classification, object detection, image segmentation, and other Computer Vision tasksCrisp content with a practical approach to solving real-world problems in Computer VisionBook Description Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems. With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features,and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google’s Tesseract software, and tracking human body poses using DeeperCut within TensorFlow. By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries. What you will learnInstall and run major Computer Vision packages within PythonApply powerful support vector machines for simple digit classificationUnderstand deep learning with TensorFlowBuild a deep learning classifier for general imagesUse LSTMs for automated image captioningRead text from real-world imagesExtract human pose data from imagesWho this book is for Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. The only prerequisite for this book is that you should have a sound knowledge of Python programming.