本书是笛卡尔的一部代表作，也是他的处女作。全书分六部分：一、对各门学问的看法；二、作者寻求该方法的几条原则；三、从该方法中引导出的几项行为准则；四、作者用来证明神的存在，人的灵魂存在的理由；五、作者研究过的一系列物理问题；六、作者认为一定要做哪些事情才能使自然研究更进一步，以及促使其撰写此书的理由。本书被公认为近代哲学的宣言书，树起了理性主义认识论的大旗。

《项目管理知识体系指南（PMBOK指南）（第5版）》是美国项目管理协会（PMI）的权威经典著作，已经成为美国项目管理的国家标准之一，也是当今项目管理知识与实践领域的事实上的世界标准。本书中文简体字版由PMI独家授权在中国出版发行，其内容与第4版相比有一定更新，以精辟的语言更新了项目管理5大过程组的定义并介绍了项目管理10大知识领域与47个过程，是项目管理从业人员的极为重要的工具书。

本书2008年第一版题名为《学习的艺术》，亦使用同一ISBN。

Getting rich is not just about luck; happiness is not just a trait we are born with. These aspirations may seem out of reach, but building wealth and being happy are skills we can learn.
So what are these skills, and how do we learn them? What are the principles that should guide our efforts? What does progress really look like?
Naval Ravikant is an entrepreneur, philosopher, and investor who has captivated the world with his principles for building wealth and creating long-term happiness. The Almanack of Naval Ravikant is a collection of Naval’s wisdom and experience from the last ten years, shared as a curation of his most insightful interviews and poignant reflections. This isn’t a how-to book, or a step-by-step gimmick. Instead, through Naval’s own words, you will learn how to walk your own unique path toward a happier, wealthier life.
This book has been created as a public service. It is available for free download in pdf and e-reader versions on Navalmanack.com. Naval is not earning any money on this book. Naval has essays, podcasts and more at Nav.al and is on Twitter @Naval.

In the years following her role as the lead author of the international bestseller, "Limits to Growth"athe first book to show the consequences of unchecked growth on a finite planeta Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001.Meadowsa newly released manuscript, "Thinking in Systems," is a concise and crucial book offering insight for problem solving on scales ranging from the personal to the global. Edited by the Sustainability Instituteas Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life.Some of the biggest problems facing the worldawar, hunger, poverty, and environmental degradationaare essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking.While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner.In a world growing ever more complicated, crowded, and interdependent, "Thinking in Systems" helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.

★★★
继《写作课》之后，用大数据分析文学、探究黄金写作法则的写作指导图书
……………………
◎ 编辑推荐
★ 马尔克斯、海明威、乔伊斯、纳博科夫、马克·吐温、福克纳、简·奥斯汀、斯蒂芬·金……这些伟大作家有怎样的创作偏好？
★ 布克奖、普利策奖作品、《纽约时报》畅销作品有何规律？
★《百年孤独》《老人与海》《尤利西斯》《洛丽塔》《傲慢与偏见》《动物农场》《哈利·波特》《五十度灰》的创作背后有怎样的趣味冷知识？
用大数据分析1500部文学作品，数百名伟大作者，数百万个奇妙单词，探求真相数字与文字的奇妙游戏。用理科生思维观测写作的隐秘模式，探索经典中的隐藏规律，发现难以忘怀的辞藻应用，继而优化自身，提高写作认知。
……………………
◎ 媒体推荐
一本由数字写成的关于文字的书
极具启发性和趣味性的阅读体验……是一部基于数据的文学评论。
——《科克斯书评》
太有趣了！本·布拉特这本书充满魅力，利用数学技巧解答文学风格的问题，梳理了诸如悬念、副词、美国人比英国人“写作嗓门”更大等观点。（没错！我们就是嗓门大！）
——《数学教你不犯错》作者乔丹·埃伦贝格
与其说是文学史研究，不如说是统计学著作。这本书只用了点儿纸和笔，便揭开了困扰世人几个世纪的《联邦党人文集》谜案。本·布拉特以专注的调查精神、令人意想不到的揭示能力和洞察力探索了文学的标准，最终出版了这样一本书：有节奏感的、发人深省的、有趣的文学侦探故事。
——《生存算法》（Algorithms to Live by）合著者布莱恩·克里斯蒂安
本·布拉特这本可爱的书给了我们一个研究伟大作家作品的新颖视角——大数据。它的幽默、洞见和对数据的应用十分迷人，甚至能够鼓励我们开始自己的写作生涯。
——哈佛大学统计学系荣誉教授卡尔·N. 莫里斯
……………………
◎ 内容简介
将文学大数据视为文学标准，探究出隐藏在世界上伟大作家作品里的有趣之处。作者收集了数千本书籍的数据库，和数百万个单词，并提出一些重要的问题来启发爱书人和怀有好奇心的人：我们最喜欢的作家最喜欢用的是什么词？男性与女性的写作会有不同吗？畅销书会变不畅销吗？当代哪位作家喜欢用“陈词滥调”？最棒的开篇第一个句子有何特征？如何从封面判断一本书？哪些写作建议值得遵守，哪些可以一笑置之？
作者运用现有的统计技巧，加上自己设计的适用方法，所有调查与实验都原创亲自执行，读者不需特殊数学知识也可以轻松理解得出的结果。作者将发现以清晰幽默的语言、充满说服力的视觉呈现，提供了一个认识经典作家作品——不论是其中隐含的模式结构，或者令人难以忘怀的词藻——的全新观点，对写作者而言也能有所启发。

From Inc.com's most popular columnist, a counterintuitive--but highly practical--guide to finding and maintaining the motivation to achieve great things.
It's comforting to imagine that superstars in their fields were just born better equipped than the rest of us. When a co-worker loses 20 pounds, or a friend runs a marathon while completing a huge project at work, we assume they have more grit, more willpower, more innate talent, and above all, more motivation to see their goals through.
But that's not at actually true, as popular Inc.com columnist Jeff Haden proves. "Motivation" as we know it is a myth. Motivation isn't the special sauce that we require at the beginning of any major change. In fact, motivation is a result of process, not a cause. Understanding this will change the way you approach any obstacle or big goal.
Haden shows us how to reframe our thinking about the relationship of motivation to success. He meets us at our level--at the beginning of any big goal we have for our lives, a little anxious and unsure about our way forward, a little burned by self help books and strategies that have failed us in the past—and offers practical advice that anyone can use to stop stalling and start working on those dreams.
Haden takes the mystery out of accomplishment, proving that success isn't about spiritual awakening or a lightning bolt of inspiration --as Tony Robbins and adherents of The Secret believe--but instead, about clear and repeatable processes. Using his own advice, Haden has consistently drawn 2 million readers a month to his posts, completed a 107-mile long mountain bike race, and lost 10 pounds in a month.
Success isn't for the uniquely-qualified; it's possible for any person who understands the true nature of motivation. Jeff Haden can help you transcend average and make lasting positive change in your life.

享誉世界的哲学泰斗丹尼尔·丹尼特，融通计算机科学、心理学、神经科学、语言学、人工智能，倾囊相授他一生至今所搜集的各种好用的思考工具。这本书诞生于大学新生的课堂，力图做到“人人能懂”。
使用大量方便的、辅助性的思考工具，去拓展想象力、保持专注力，让我们妥当、优雅地思考真正的难题。利用各种思考工具，让你拨开各种思想的层层迷雾，你会发现，那么多明摆着的观点其实根本就不是那么“明摆着”的。
达尔文的进化论不仅只是一种理论，也可以打造成直觉泵等思考利器，破除种种事后追溯的思维陋习。自然选择作为一种思维方式，也日益融入计算机算法的设计中，在本书中你还将掌握有关计算机能力的7个秘密，把算法和程序当作思考工具。
“直觉泵”是很有用的思考工具，作为一种思想实验，一个好的直觉泵比任何一种论证和分析都更为有力。这本书不仅带你去检验不合格的直觉泵，也让你理解好的直觉泵，更教你如何应用和制作直觉泵。

How to Read a Book, originally published in 1940, has become a rare phenomenon, a living classic. It is the best and most successful guide to reading comprehension for the general reader. And now it has been completely rewritten and updated.
You are told about the various levels of reading and how to achieve them — from elementary reading, through systematic skimming and inspectional reading, to speed reading, you learn how to pigeonhole a book, X-ray it, extract the author's message, criticize. You are taught the different reading techniques for reading practical books, imaginative literature, plays, poetry, history, science and mathematics, philosophy and social science.
Finally, the authors offer a recommended reading list and supply reading tests whereby you can measure your own progress in reading skills, comprehension and speed.
There are over 190,000 copies in print of this classic guide to getting the most from your reading.

In this title: together we'll journey together through bits of cognitive and neuroscience, learning and behavioral theory; you'll discover some surprising aspects of how our brains work; and, see how you can beat the system to improve your own learning and thinking skills. In this book you'll learn how to: use the Dreyfus Model of Skill Acquisition to become more expert; leverage the architecture of the brain to strengthen different thinking modes; avoid common 'known bugs' in your mind; learn more deliberately and more effectively; and, manage knowledge more efficiently. Software development happens in your head. Not in an editor, IDE, or design tool. It's time to take a pragmatic approach to thinking and learning, and start to refactor - and redesign - your brain.

本书从控制论和系统论基本概念的角度介绍科学方法论知识。书中选用大量生动的事例，深人浅出地介绍了控制、反馈、信息、思维和组织，系统及其演化，质变的数学模型等问题。在香港和台湾地区，被很多学校、企业选为教材。
本书首版于1983年，风靡一时。