This novel explores Captain Robert Fitzroy's abduction of Jemmy Button from his home in Cape Horn and Fitzroy's attempt to "civilize" Button in England in order to return him to his country as a bearer of "enlightened society." The experiment leads to tragic consequences. Tierra del Fuego deals with European arrogance and exploitation without resorting to the cliche of the "Noble Savage."".

In 1830 a Yamana Indian boy, Orundellico, was bought from his uncle in Tierra del Fuego for the price of a mother-of-pearl button. Renamed Jemmy Button, he was removed from his primitive nomadic existence, where life revolved around the hunt for food and the need for shelter, and taken halfway round the world to England, then at the height of the Industrial Revolution. He learned English and Christianity, met King William IV and Queen Adelaide, and made a strong impression on many of the major figures in Britain, eventually becoming a celebrity. Charles Darwin himself befriended the Fuegian and later wrote about their time together on The Beagle, voyaging back to the southern tip of South America. Their friendship influenced one of the most important and controversial works of the century, On the Origin of the Species. Upon his return to Tierra del Fuego, Jemmy found that life could never be the same for him there. The Beagle's captain deposited the young man on a lonely, windswept shore and charged him with the tasks of "civilizing" his people and bringing God to his homeland. At first ostracized and attacked by other Fuegians, Jemmy later became the target of zealous and ambitious missionaries. Thirty years after his return, a missionary schooner in Tierra del Fuego was attacked, with nearly everyone on board killed, and Button himself was accused of leading the massacre. Button's life story illustrates how the lofty ideals of imperialism often resulted in appalling consequences.

In HUNDRED, the simple pleasures and hard lessons of each age are gorgeously presented as a full color, illustrated journey of the passage of time. What did you learn in life? At age 3? At 21? What about 45? 65? 80 and beyond? How can you share this wisdom with the people you love? Your first smile, kiss, true love. The breakthroughs that come with age and experience. The realizations we have about ourselves and the world as the number of candles on your cake creeps up. There is so much to learn. In this beautiful fully illustrated book, you’ll follow, page by page, year by year, the course of a lifetime as each of us learns the little things that together make up a whole life. A perfect gift for holidays, birthdays, graduations, and that special friend, HUNDRED, like Dr. Seuss’s Oh, The Places You’ll Go, is a book destined to become a perennial favorite.

A narration of dramas played out from 1578 to 2000 in Tierra del Fuego by the native Yamana, Darwin, explorers, sealers, whalers and missionaries.

Science always raises more questions than it can contain. These acclaimed and challenging essays explore how ideas are transformed as they come under the stress of unforeseen readers. Using a wealth of material from diverse nineteenth- and twentieth-century writing, Gillian Beer tracks encounters between science, literature, and other forms of emotional experience. Her analysis discloses issues of chance, gender, nation, and desire. A substantial group of essays centres on Darwin and the incentives of his thinking from language theory to his encounters with Fuegians. Other essays include Hardy, Helmholtz, Hopkins, Clerk Maxwell, and Woolf. The collection throws a different light on Victorian experience and the rise of modernism, and engages with current controversies about the place of science in culture.

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

1996 National Book Award Winner for Fiction.