Where they align is in their belief that the market is beatable. This book seeks to take the best aspects of value investing and quantitative investing as disciplines and apply them to a completely unique approach to stock selection. Such an approach has several advantages over pure value or pure quantitative investing. This new investing strategy framed by the book is known as quantitative value, a superior, market-beating method to investing in stocks.Quantitative Value provides practical insights into an investment strategy that links the fundamental value investing philosophy of Warren Buffett with the quantitative value approach of Ed Thorp. It skillfully combines the best of Buffett and Ed Thorp--weaving their investment philosophies into a winning, market-beating investment strategy.First book to outline quantitative value strategies as they are practiced by actual market practitioners of the discipline Melds the probabilities and statistics used by quants such as Ed Thorp with the fundamental approaches to value investing as practiced by Warren Buffett and other leading value investors A companion Website contains supplementary material that allows you to learn in a hands-on fashion long after closing the book If you're looking to make the most of your time in today's markets, look no further than Quantitative Value.

    This book offers concrete examples and exercises in the dynamic and versatile Python language to demonstrate and reinforce these concepts. Learn the basic tools to start writing the programs that interest you, and get a better understanding of what software can (and cannot) do. When you're finished, you'll have the necessary foundation to learn any programming language or tackle any software project you choose. With a focus on programming concepts, this book teaches you how to:Understand the core features of all programming languages, including: variables, statements, decisions, loops, expressions, and operatorsReuse code with functionsUse library code to save time and effortSelect the best data structure to manage complex dataWrite programs that talk to the WebShare your data with other programsWrite programs that test themselves and help you avoid embarrassing coding errors.Contents Intro xxiii1 Starting to Code: Finding Your Way2 Textual Data: Every String Has Its Place3 Functions: Let’s Get Organized4 Data Files and Arrays: Sort It Out5 Hashes and Databases: Putting Data in Its Place6 Modular Programming: Keeping Things Straight7 Building a Graphical User Interface: Going All Gooey8 GUIs and Data: Data Entry Widgets8 1/2 Exceptions and Message Boxes: Get the Message? 9 Graphical Interface Elements: Selecting the Right Tool10 Custom Widgets and Classes: With an Object in MindAppendix i Leftovers: The Top Ten Things (We Didn’t Cover)

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    John's, Antigua; Oranjestad, Aruba; Bridgetown, Barbados; Belize City, Belize; Bermuda; Kralendijk, Bonaire; Calica (Playa del Carmen), Mexico; Cartagena, Colombia; Colon, Panama; Costa Maya, Mexico; Willemstad, Curacao; Roseau, Dominica; Falmouth, Jamaica; Freeport-Lucaya, Bahamas; Grand Cayman, Cayman Islands; Grand Turk, Turks and Caicos Islands; St. George's, Grenada; Pointe-a-Pitre, Guadeloupe; Key West, Florida; La Romana, Dominican Republic; Fort-de-France, Martinique; Montego Bay, Jamaica; Nassau, Bahamas; Charlestown, Nevis; Ocho Rios, Jamaica; Progreso, Mexico; Puerto Limon, Costa Rica; Roatan, Honduras; Samana (Cayo Levantado), Dominican Republic; San Juan, Puerto Rico; Santo Domingo, Domican Republic; Santo Tomas de Castilla, Guatemala; Gustavia, St. Barthelemy; Fredericksted, St. Croix; Cruz Bay, St. John; Basseterre, St. Kitts; Castries, St. Lucia; Philipsburg, St. Maarten; Charlotte Amalie, St. Thomas; Kingstown, St. Vincent; Road Town, Tortola; and The Valley, Virgin Gorda· Covered ports of embarkation: Baltimore, Maryland; Charleston, South Carolina; Fort Lauderdale, Florida; Galveston, Texas; Houston, Texas; Jacksonville, Florida; Miami, Florida; New Orleans, Louisiana; New York, New York; Port Canaveral, Florida; San Juan, Puerto Rico; Tampa, Florida

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    For Ellen Wilder, editor of the local newspaper, the gruesome killing is as disturbing as the irrational fears that have suddenly woven themselves into her mind and left her doubting her own sanity. For state police detective Michael Chandler, whose haunting near-death experience has left him with an uncanny way of sensing things, the murder is only a hint of what is to come.But nothing could have prepared either of them for the return of Franny Corbett. A hulking child of a man and the blackest sheep in a family of black sheep, his eerie presence may have ushered in all of these bizarre and frightening events. Soon the town of Wiltshire will be shaken again. For in a car sunk beneath the surface of a glimmering blue lake, floats another body. And the killing has just begun....

    To stop him, the authorities free imprisoned former hacker Wyatt Gillette to aid the investigation. Teamed with old-school homicide detective Frank Bishop, Gillette must combine their disparate talents to catch a brilliant and merciless killer.

    Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.

    The Ultimate History of Video Games reveals everything you ever wanted to know and more about the unforgettable games that changed the world, the visionaries who made them, and the fanatics who played them. From the arcade to television and from the PC to the handheld device, video games have entraced kids at heart for nearly 30 years. And author and gaming historian Steven L. Kent has been there to record the craze from the very beginning.This engrossing book tells the incredible tale of how this backroom novelty transformed into a cultural phenomenon. Through meticulous research and personal interviews with hundreds of industry luminaries, you'll read firsthand accounts of how yesterday's games like Space Invaders, Centipede, and Pac-Man helped create an arcade culture that defined a generation, and how today's empires like Sony, Nintendo, and Electronic Arts have galvanized a multibillion-dollar industry and a new generation of games. Inside, you'll discover:·The video game that saved Nintendo from bankruptcy ·The serendipitous story of Pac-Man's design ·The misstep that helped topple Atari's $2 billion-a-year empire·The coin shortage caused by Space Invaders ·The fascinating reasons behind the rise, fall, and rebirth of Sega ·And much more! Entertaining, addictive, and as mesmerizing as the games it chronicles, this book is a must-have for anyone who's ever touched a joystick.

    Based on "Practical Python," this newly-revised book is both an introduction and practical reference for a swath of Python-related programming topics, including addressing language internals, database integration, network programming, and web services. Advanced topics, such as extending Python and packaging/distributing Python applications, are also covered.Ten different projects illustrate the concepts introduced in the book. You will learn how to create a P2P file-sharing application and a web-based bulletin board, and how to remotely edit web-based documents and create games. Author Magnus Lie Hetland is an authority on Python and previously authored "Practical Python." He also authored the popular online guide, Instant Python Hacking, on which both books are based.

    No statistical knowledge is required, and your programming skills can range from hobbyist to pro.Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: Create artful graphs to visualize complex data sets and functions Write more efficient code using parallel R and vectorization Interface R with C/C++ and Python for increased speed or functionality Find new R packages for text analysis, image manipulation, and more Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

    Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years - the rise of personalization. In this groundbreaking investigation of the new hidden Web, Pariser uncovers how this growing trend threatens to control how we consume and share information as a society-and reveals what we can do about it.Though the phenomenon has gone largely undetected until now, personalized filters are sweeping the Web, creating individual universes of information for each of us. Facebook - the primary news source for an increasing number of Americans - prioritizes the links it believes will appeal to you so that if you are a liberal, you can expect to see only progressive links. Even an old-media bastion like "The Washington Post" devotes the top of its home page to a news feed with the links your Facebook friends are sharing. Behind the scenes a burgeoning industry of data companies is tracking your personal information to sell to advertisers, from your political leanings to the color you painted your living room to the hiking boots you just browsed on Zappos.In a personalized world, we will increasingly be typed and fed only news that is pleasant, familiar, and confirms our beliefs - and because these filters are invisible, we won't know what is being hidden from us. Our past interests will determine what we are exposed to in the future, leaving less room for the unexpected encounters that spark creativity, innovation, and the democratic exchange of ideas.While we all worry that the Internet is eroding privacy or shrinking our attention spans, Pariser uncovers a more pernicious and far-reaching trend on the Internet and shows how we can - and must - change course. With vivid detail and remarkable scope, The Filter Bubble reveals how personalization undermines the Internet's original purpose as an open platform for the spread of ideas and could leave us all in an isolated, echoing world.

    Even those who know vi often make use of only a small number of its features.The vi Editor Pocket Reference is a companion volume to O'Reilly's updated sixth edition of Learning the vi Editor, a complete guide to text editing with vi. New topics in Learning the vi Editor include multi-screen editing and coverage of four vi clones: vim, elvis, nvi, and vile.This small book is a handy reference guide to the information in the larger volume, presenting movement and editing commands, the command-line options, and other elements of the vi editor in an easy-to-use tabular format.

    You'll learn hands-on how Node makes life easier for experienced JavaScript developers: not only can you work on the front end and back end in the same language, you'll also have more flexibility in choosing how to divide application logic between client and server.Written by a core contributor to the framework, Node: Up and Running shows you how Node scales up to support large numbers of simultaneous connections across multiple servers, and scales down to let you create quick one-off applications with minimal infrastructure. Built on the V8 JavaScript engine that runs Google Chrome, Node is already winning the hearts and minds of many companies, including Google and Yahoo! This book shows you why.Understand Node's event-loop architecture, non-blocking I/O, and event-driven programmingDiscover how Node supports a variety of database and data storage toolsLearn best practices for writing easy-to-maintain code for NodeGet concrete examples of how to use the various Node APIs in practiceTake advantage of the book’s complete API reference

    If you're anexperienced developer, you can start creating robust mobile Androidapps right away with this professional guide to Android 4application development. Written by one of Google's lead Androiddeveloper advocates, this practical book walks you through a seriesof hands-on projects that illustrate the features of the AndroidSDK. That includes all the new APIs introduced in Android 3 and 4, including building for tablets, using the Action Bar, Wi-Fi Direct, NFC Beam, and more.Shows experienced developers how to create mobile applicationsfor Android smartphones and tabletsRevised and expanded to cover all the Android SDK releasesincluding Android 4.0 (Ice Cream Sandwich), including all updatedAPIs, and the latest changes to the Android platform.Explains new and enhanced features such as drag and drop, fragments, the action bar, enhanced multitouch support, newenvironmental sensor support, major improvements to the animationframework, and a range of new communications techniques includingNFC and Wi-Fi direct.Provides practical guidance on publishing and marketing yourapplications, best practices for user experience, and moreThis book helps you learn to master the design, lifecycle, andUI of an Android app through practical exercises, which you canthen use as a basis for developing your own Android apps.