Miguel de Icaza

Масштабное и революционное исследование истории товарно-денежных отношений с древнейших времен до наших дней, предпринятое американским антропологом, профессором Лондонской школы экономики и одним из «антилидеров» движения Occupy Wall street, придумавшим слоган «Мы – 99 %». Гребер, опираясь на антропологические методы, выдвигает тезис, что в основе того, что мы традиционно называем экономикой, лежит категория долга, которая на разных этапах развития общества может принимать формы денег, бартера, залогов, кредитов, акций и так далее. Один из императивов книги - вырвать экономику из лап «профессиональных экономистов», доказавших свою несостоятельность во время последнего мирового кризиса, и поместить ее в более широкий контекст истории культуры, политологии, социологии и прочих гуманитарных дисциплин. Для широкого круга читателей.

Впервые наиболее полно издаваемый в СССР перевод работы Дейла Карнеги (1888-1955) - известного американского специалиста в области ораторского искусства и человеческих взаимоотношений - "Как завоевывать друзей и оказывать влияние на людей", "Как вырабатывать уверенность в себе и влиять на людей, выступая публично", "Как перестать беспокоится и начать жить". Книга рассчитана на самый широкий круг читателей.

Discover the remarkable power of possibility with this dynamic collaboration between a renowned conductor and a talented psychotherapist. The Art of Possibility outlines twelve innovative practices for bringing creativity to all aspects of life, providing a deep and meaningful understanding of how this concept can transform personal and professional fulfillment. Through inspiring stories, poignant parables, and personal anecdotes, readers are urged to become passionate communicators, leaders, and performers whose lives radiate possibility into the world.

A thought-provoking New York Times Bestseller that challenges traditional economic thinking and proposes a bold new understanding for creating a just and prosperous society. Stephanie Kelton's Modern Monetary Theory (MMT) has the potential to transform how we deal with crucial issues such as poverty, inequality, healthcare, and climate change. Kelton expertly dismantles common myths surrounding deficits, showing how MMT can shift the focus towards broader economic and social benefits. Through innovative thinking about money, taxes, and deficit spending, Kelton offers a new vision for how to responsibly allocate resources, opening up a world of opportunity for society.

Discover the ultimate guide to one of the most transformative public policies being discussed today. In The Case for a Job Guarantee, expert Pavlina R. Tcherneva challenges the enduring idea that unemployment is both unavoidable and necessary. She proposes a blueprint for a voluntary employment opportunity in public service to anyone who needs it, banishing the phantom of unemployment and providing anyone who seeks decent, living-wage work with guaranteed employment. Learn about the advantages of the Job Guarantee and how it contributes to a fairer economy and social justice. This compact primer is essential reading for all citizens and activists committed to building a better future.

Discover the science behind cooking with Cooking for Geeks. This book is perfect for innovative and curious cooks who want to understand the reasoning behind traditional cooking methods. Over 100 recipes and labs allow you to experiment with cooking temperatures and flavors, while also learning from interviews with professionals in the culinary industry. Increase your knowledge and ability to cook delicious meals with this excellent resource.

This guide demonstrates that programmers who are comfortable with Python can achieve impressive results in deep learning with minimal code and little math background. With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications, authors Jeremy Howard and Sylvain Gugger 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. With insights from PyTorch cofounder, Soumith Chintala, and coverage of computer vision, natural language processing, tabular data, and collaborative filtering, this book is a comprehensive resource for anyone looking to improve their deep learning skills.