Hollywood's premier teacher of screenwriting shares the secrets of writing and selling successful screenplays
Anyone fortunate enough to win a seat in Professor Richard Walter's legendary class at UCLA film school can be confident their career has just taken a quantum leap forward. His students have written more than ten projects for Steven Spielberg alone, plus hundreds of other Hollywood blockbusters and prestigious indie productions, including two recent Oscar winners for best original screenplay- Milk (2008) and Sideways (2006).
In this updated edition, Walter integrates his highly coveted lessons and principles from Screenwriting with material from his companion text, The Whole Picture , and includes new advice on how to turn a raw idea into a great movie or TV script-and sell it. There is never a shortage of aspiring screenwriters, and this book is their bible.

This book, by one of the pre-eminent philosophers of science writing today, offers the most comprehensive account available of causal asymmetries. Causation is asymmetrical in many different ways. Causes precede effects; explanations cite causes not effects. Agents use causes to manipulate their effects; they don't use effects to manipulate their causes. Effects of a common cause are correlated; causes of a common effect are not. This book explains why a relationship that is asymmetrical in one of these regards is asymmetrical in the others. Hausman discovers surprising hidden connections between theories of causation and traces them all to an asymmetry of independence. This is a major book for philosophers of science that will also prove insightful to economists and statisticians.

In the first edition of Thinking in C++, Bruce Eckel synthesized years of C++ teaching and programming experience into a beautifully structured course in making the most of the language. It became an instant classic, winning the 1995 Software Development Jolt Cola Award for best book of the year. Now, Eckel has thoroughly rewritten Thinking in C++ to reflect the final ANSI/ISO C++ standard. Every page has been revisited and rethought, with many new examples and exercises -- all designed to help you understand C++ "down to the bare metal," so you can solve virtually any problem. Eckel starts with a detailed look at objects, showing how C++ programs can be constructed from off-the-shelf object libraries. This edition includes a new, chapter-length overview of the C features that are used in C++ -- plus a new CD-ROM containing an outstanding C seminar that covers all the foundations developers need before they can truly take advantage of C++. Eckel then walks through initialization and cleanup; function overloading and default arguments; constants; inline functions; name control; references and the copy constructor; operator overloading; and more. There are chapters on dynamic object creation; inheritance and composition; polymorphism and virtual functions, and templates. (Bonus coverage of string, templates, and the Standard Template Library, can be found at Eckel's web site.) Every chapter contains many modular, to-the-point examples, plus exercises based on Eckel's extensive experience teaching C++ seminars. Put simply, Eckel has made an outstanding book on C++ even better.

A Nobel Prize-winning scientist and a leading brain researcher show how the brain creates conscious experience In A Universe of Consciousness, Gerald Edelman builds on the radical ideas he introduced in his monumental trilogy-Neural Darwinism, Topobiology, and The Remembered Present-to present for the first time an empirically supported full-scale theory of consciousness. He and the neurobiolgist Giulio Tononi show how they use ingenious technology to detect the most minute brain currents and to identify the specific brain waves that correlate with particular conscious experiences. The results of this pioneering work challenge the conventional wisdom about consciousness.

Mark Pilgrim's Dive Into Python 3 is a hands-on guide to Python 3 (the latest version of the Python language) and its differences from Python 2. As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.
This book includes:
* Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more
* A detailed case study of porting a major library from Python 2 to Python 3
* A comprehensive appendix of all the syntactic and semantic changes in Python 3
This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away.
What you'll learn
* Understand Python 3 code by seeing it broken down and explained
* Make full use of the latest Python features such as iterators, generators, closures, classes and comprehensions
* Refactor existing code to improve maintainability
* Learn how to serialize Python objects with the pickle protocol and JSON format
* Learn how to package your own Python libraries and upload them to the Python Package Index to share your projects with Python developers worldwide
* Use Python 3 to consume HTTP web services
* Port existing Python applications to Python 3 by following a case study for a major library
Who is this book for?
* Anyone who wants to learn the latest version of Python in a fast, hands-on fashion
* Existing Python programmers who want to learn quickly how to make the most of the features of the latest version of Python and port their code to it
* Programmers coming from other languages wanting a fast introduction to Python that gets them thinking about advanced concepts quickly

在线阅读本书
The long awaited second edition of Dynamic Optimization is now available. Clear exposition and numerous worked examples made the first edition the premier text on this subject. Now, the new edition is expanded and updated to include essential coverage of current developments on differential games, especially as they apply to important economic questions; new developments in comparative dynamics; and new material on optimal control with integral state equations. The second edition of Dynamic Optimization provides expert coverage on:- methods of calculus of variations - optimal control - continuous dynamic programming - stochastic optimal control -differential games. The authors also include appendices on static optimization and on differential games. Now in its new updated and expanded edition, Dynamic Optimization is, more than ever, the optimum choice for graduate and advanced undergraduate courses in economics, mathematical methods in economics and dynamic optimization, management science, mathematics and engineering. New features of Dynamic Optimization will show students:advances in how to do comparative dynamics; how to optimally switch from one state equation to another during the planning period; how to take into account the history of the system governing an optimization problem through the use of an integral state equation; and how to apply differential games to problems in economics and management sciences.

Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (with evaluations of the possible applications by experts in the applications areas.) Special emphasis is placed on designs based on optimization or reinforcement, which will become increasingly important as researchers address more complex engineering challenges or real biological-control problems.A Bradford Book. Neural Network Modeling and Connectionism series

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It is an ideal textbook for undergraduate and graduate students, and is indispensable for researchers seeking a self-contained reference on control theory. Unlike most books on the subject, Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl strm and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. strm and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. They provide exercises at the end of every chapter, and an accompanying electronic solutions manual is available. Feedback Systems is a complete one-volume resource for students and researchers in mathematics, engineering, and the sciences. Covers the mathematics needed to model, analyze, and design feedback systems Serves as an introductory textbook for students and a self-contained resource for researchers Includes exercises at the end of every chapter Features an electronic solutions manual Offers techniques applicable across a range of disciplines

当前，资本市场是一个充满诱惑和浮夸的热词。并购、私募、私有化、跨境并购……专业人士欲以专业来开拓资本市场方向的业务，同时，资本市场却是“乱花渐入迷人眼”。本书作者以通俗易懂文采飞扬的写作风格，基于“中国的问题 世界的眼光”将资本市场的游戏规则抽丝剥茧，将现实发生的商战大戏纳入生动的分析之下。同时，将资本市场的关键词进行注释予以说明，堪称一本书轻松地读懂资本市场。
《资本的规则》是一本弹性较大的书，入门级的读者通过阅读能达到“一本书读懂资本市场”的扫盲效果;专业资深的读者能透过资本市场的波诡云谲发现其背后的规律与实质。
众多大咖：
丁颖华(国泰君安证券资本市场部董事总经理)
沈哲清(倍哲资本创始人、原巴克莱银行董事总经理兼中国金融机构部门主管)
苏龙飞(《新财富》主笔、《股权战争》作者)
周志峰(方达律师事务所创始合伙人)
徐明磊(上海证券交易所上市公司监管一部副总监)
彭冰(北京大学法学院教授)
蔡祥(博流资本合伙人、原德意志银行执行董事)
鼎力推荐!

In this book Steven Shavell provides an in-depth analysis and synthesis of the econoic approach to the building blocks of our legal system, namely, property law, tort law, contract law and criminal law. He also examines the litigation process as well as welfare economics and morality. Aimed at a broad audience, this book requires neither a legal background nor technical economics or mathematics to understand it. Because of its breadth, analytical clarity and general accessibility, it is likely to serve as a definitive work in the economic analysis of law.

The story of billionaire trader Steven Cohen, the rise and fall of his hedge fund SAC Capital, and the largest insider trading investigation in history for readers of The Big Short, Den of Thieves, and Dark Money
Steven A. Cohen changed Wall Street. He and his fellow pioneers of the hedge fund industry didn't lay railroads, build factories, or invent new technologies. Rather, they made their billions through speculation, by placing bets in the market that turned out to be right more often than wrong and for this, they gained not only extreme personal wealth but formidable influence throughout society. Hedge funds now oversee more than $3 trillion in assets, and the competition between them is so fierce that traders will do whatever they can to get an edge.
Cohen was one of the industry's biggest success stories, the person everyone else in the business wanted to be. Born into a middle-class family on Long Island, he longed from an early age to be a star on Wall Street. He mastered poker in high school, went off to Wharton, and in 1992 launched the hedge fund SAC Capital, which he built into a $15 billion empire, almost entirely on the basis of his wizard like stock trading. He cultivated an air of mystery, reclusiveness, and excess, building a 35,000-square-foot mansion in Greenwich, Connecticut, flying to work by helicopter, and amassing one of the largest private art collections in the world. On Wall Street, Cohen was revered as a genius: one of the greatest traders who ever lived.
That image was shattered when SAC Capital became the target of a sprawling, seven-year investigation, led by a determined group of FBI agents, prosecutors, and SEC enforcement attorneys. Labeled by prosecutors as a magnet for market cheaters whose culture encouraged the relentless pursuit of edge and even black edge, which is inside information SAC Capital was ultimately indicted and pleaded guilty to charges of securities and wire fraud in connection with a vast insider trading scheme, even as Cohen himself was never charged.
Black Edge offers a revelatory look at the gray zone in which so much of Wall Street functions. It's a riveting, true-life legal thriller that takes readers inside the government's pursuit of Cohen and his employees, and raises urgent and troubling questions about the power and wealth of those who sit at the pinnacle of modern Wall Street.