A gorgeously-illustrated deep dive into the immune system that will forever change how you think about your body - how it works and why it is both your greatest ally and most dangerous enemy - from the creator of the popular science YouTube channel Kurzgesagt - In a Nutshell.

Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to • Use the scientific method to evaluate hypotheses using controlled experiments • Define key metrics and ideally an Overall Evaluation Criterion • Test for trustworthiness of the results and alert experimenters to violated assumptions • Build a scalable platform that lowers the marginal cost of experiments close to zero • Avoid pitfalls like carryover effects and Twyman's law • Understand how statistical issues play out in practice.

has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
Make informed decisions by identifying the strengths and weaknesses of different tools
Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
Understand the distributed systems research upon which modern databases are built
Peek behind the scenes of major online services, and learn from their architectures

《资治通鉴》是由北宋著名史学家、政治家司马光和他的助手刘攽、刘恕、范祖禹、司马康等人历时十九年编纂的一部规模空前的编年体通史巨著，记载了从战国到五代共1326年的史实。在这部书里，编者总结出许多经验教训，供统治者借鉴。全书共294卷，分为十六纪，另有《考异》、《目录》各三十卷。其内容多以政治、军事和民族关系为主，兼及经济、文化、和历史人物评价，目的是通过对事关国家盛衰、民族兴亡的统治阶级政策的描述警示后人。

《当我谈跑步时，我谈些什么》是村上春树最受欢迎的随笔集。开始作家生涯之际，村上春树也开始长跑。从夏威夷的考爱岛，到马萨诸塞的剑桥；从村上市的铁人三项赛，到希腊马拉松长跑古道，他永远在奔跑。
“痛楚难以避免，而磨难可以选择。”每当村上长跑时，脑海里就反复出现这句话。积极地选择磨难，就是将人生的主动权握在自己手中。他将这些年来在路上一面奔跑，一面思索的东西集结成书，诚实地书写跑步，诚实地书写人生。
《当我谈跑步时，我谈些什么》（2015典藏版）收入14幅珍贵写真，记录村上春树25年跑步与人生历程，全新设计，精致装帧，带你进入村上春树的跑者世界。