此书为刘慈欣获中国科幻银河奖的中短篇科幻小说作品集，收录有《流浪地球》《乡村教师》《全频带阻塞干扰》等获奖佳作。

2013年4月14日，美国纽约肯尼迪国际机场，法国阿尔斯通集团锅炉部全球负责人弗雷德里克•皮耶鲁齐，刚下飞机就被美国联邦调查局探员逮捕。 这场抓捕不仅仅是针对他个人的行为，而是美国政府针对法国阿尔斯通的系列行动之一。之后，美国司法部指控皮耶鲁齐涉嫌商业贿赂，并对阿尔斯通处以7.72亿美元罚款。阿尔斯通的电力业务，最终被行业内的主要竞争对手——美国通用电气公司收购。阿尔斯通这家曾经横跨全球电力能源与轨道交通行业的商业巨头，因此被美国人“肢解”。而皮耶鲁齐直到2018年9月才走出监狱，恢复自由。 在《美国陷阱》一书中，皮耶鲁齐以身陷囹圄的亲身经历披露了阿尔斯通被美国企业“强制”收购，以及美国利用《反海外腐败法》打击美国企业竞争对手的内幕。 这是一场隐秘的经济战争。

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances?
Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community.
Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel).
Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future.

It took me a pretty long time to really get Git. As I’ve continued to use Git more and more where I work, I’ve found myself trying to teach people what it is and why we use it over and over again, and the reality is that Git generally has a pretty steep learning curve compared to many other systems. I’ve seen case after case of devel- opers who love Git after they finally understand it, but getting to that point is often somewhat painstaking.
This book is aimed at the developer who does not particularly like Subversion, Perforce or whatever SCM system they are currently using, has heard good things about Git, but doesn’t know where to start or why it’s so wonderful. It is meant to explain Git as simply as possible in a clean, concise, easily readable volume. My goal is to help you understand Git internals as well as usage at a fundamental level by the time you finish this book.
To accomplish this, I’m starting the book out (after the introduction) with a section about what Git actually does, rather than how to use it. I found that I didn’t really understand Git and had many problems using it until I understood what it was actually doing at a low level, rather than thinking of it as a different, weird SVN-like system.

Known as the father of the new science of positive psychology, Martin E.P. Seligman draws on more than twenty years of clinical research to demonstrate how optimism enchances the quality of life, and how anyone can learn to practice it. Offering many simple techniques, Dr. Seligman explains how to break an “I—give-up” habit, develop a more constructive explanatory style for interpreting your behavior, and experience the benefits of a more positive interior dialogue. These skills can help break up depression, boost your immune system, better develop your potential, and make you happier..
With generous additional advice on how to encourage optimistic behavior at school, at work and in children, Learned Optimism is both profound and practical–and valuable for every phase of life.

“Range is an urgent and important book, an essential read for bosses, parents, coaches, and anyone who cares about improving performance.” —Daniel H. Pink
What's the most effective path to success in any domain? It's not what you think.
Plenty of experts argue that anyone who wants to develop a skill, play an instrument, or lead their field should start early, focus intensely, and rack up as many hours of deliberate practice as possible. If you dabble or delay, you’ll never catch up to the people who got a head start. But a closer look at research on the world’s top performers, from professional athletes to Nobel laureates, shows that early specialization is the exception, not the rule.
David Epstein examined the world’s most successful athletes, artists, musicians, inventors, forecasters and scientists. He discovered that in most fields—especially those that are complex and unpredictable—generalists, not specialists, are primed to excel. Generalists often find their path late, and they juggle many interests rather than focusing on one. They’re also more creative, more agile, and able to make connections their more specialized peers can’t see.
Provocative, rigorous, and engrossing, Range makes a compelling case for actively cultivating inefficiency. Failing a test is the best way to learn. Frequent quitters end up with the most fulfilling careers. The most impactful inventors cross domains rather than deepening their knowledge in a single area. As experts silo themselves further while computers master more of the skills once reserved for highly focused humans, people who think broadly and embrace diverse experiences and perspectives will increasingly thrive.