With this hands-on guide, you'll learn how to write effective, idiomatic Python code by leveraging its best and possibly most neglected features. Author Luciano Ramalho takes you through Python's core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time.Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.This book covers:Python data model: understand how special methods are the key to the consistent behavior of objectsData structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode ageFunctions as objects: view Python functions as first-class objects, and understand how this affects popular design patternsObject-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritanceControl flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packagesMetaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work"

    This work contains chapters, data, and research that reveal contemporary shenanigans that have been known to fool even veteran researchers.

    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

    It offers guidance for those who want to make smart investments - even if they've never owned stocks before. This updated edition includes new concepts, improved chart graphics and new research tools. Key issues include: making money reading the daily financial pages; picking the best industry groups in the market; reading charts to improve stock selection and timing; reducing losses and mistakes; and turning a profit from reading and analyzing the news.

    Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide. THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains: * a complete hypertext version of the full printed book. * the source code and URLs for all cited implementations. * over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.

    The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Self reviews and exercises for each section, and review sections for groups of chapters also support the student learning steps. Modern computing applications (Excel, Minitab, and MegaStat) are introduced, but the text maintains a focus on presenting statistics concepts as applied in business as opposed to technology or programming methods. The thirteenth edition continues as a students' text with increased emphasis on interpretation of data and results.

    Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. Files for the entire book are freely available at openintro.org, and anybody can purchase a paperback copy from amazon.com for under $10.The future for OpenIntro depends on the involvement and enthusiasm of our community. Visit our website, openintro.org. We provide free course management tools, including an online question bank, utilities for creating course quizzes, and many other helpful resources.CERTAIN CONTENT THAT APPEARS ON THIS SITE COMES FROM AMAZON SERVICES LLC. THIS CONTENT IS PROVIDED ‘AS IS’ AND IS SUBJECT TO CHANGE OR REMOVAL AT ANY TIME.Can’t find it here? Search Amazon.com Search: All Products Apparel & AccessoriesBabyBeautyBooksCamera & PhotoCell Phones & ServiceClassical MusicComputersComputer & Video GamesDVDElectronicsGourmet FoodHome & GardenMiscellaneousHealth & Personal CareJewelry & WatchesKitchen & HousewaresMagazine SubscriptionsMusicMusical InstrumentsSoftwareSports & OutdoorsTools & HardwareToys & GamesVHS Keywords:

    At a summer tea party in Cambridge, England, a guest states that tea poured into milk tastes different from milk poured into tea. Her notion is shouted down by the scientific minds of the group. But one man, Ronald Fisher, proposes to scientifically test the hypothesis. There is no better person to conduct such an experiment, for Fisher is a pioneer in the field of statistics.The Lady Tasting Tea spotlights not only Fisher's theories but also the revolutionary ideas of dozens of men and women which affect our modern everyday lives. Writing with verve and wit, David Salsburg traces breakthroughs ranging from the rise and fall of Karl Pearson's theories to the methods of quality control that rebuilt postwar Japan's economy, including a pivotal early study on the capacity of a small beer cask at the Guinness brewing factory. Brimming with intriguing tidbits and colorful characters, The Lady Tasting Tea salutes the spirit of those who dared to look at the world in a new way.

    In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful indicators and total rubbish. Not only do others use data to fool us, we fool ourselves.With the breakout success of Nate Silver’s The Signal and the Noise, the once humdrum subject of statistics has never been hotter. Drawing on breakthrough research in behavioral economics by luminaries like Daniel Kahneman and Dan Ariely and taking to task some of the conclusions of Freakonomics author Steven D. Levitt, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around.

    Wealthy, powerful, and potentially dangerous, hedge fund moguls have become the It Boys of twenty-first ­century capitalism. Ken Griffin of Citadel started out trading convertible bonds from his dorm room at Harvard. Julian Robertson staffed his hedge fund with college athletes half his age, then he flew them to various retreats in the Rockies and raced them up the mountains. Paul Tudor Jones posed for a magazine photograph next to a killer shark and happily declared that a 1929-style crash would be "total rock-and-roll" for him. Michael Steinhardt was capable of reducing underlings to sobs. "All I want to do is kill myself," one said. "Can I watch?" Steinhardt responded. Finance professors have long argued that beating the market is impossible, and yet drawing on insights from physics, economics, and psychology, these titans have cracked the market's mysteries and gone on to earn fortunes. Their innovation has transformed the world, spawning new markets in exotic financial instruments and rewriting the rules of capitalism. More than just a history, More Money Than God is a window on tomorrow's financial system. Hedge funds have been left for dead after past financial panics: After the stock market rout of the early 1970s, after the bond market bloodbath of 1994, after the collapse of Long Term Capital Management in 1998, and yet again after the dot-com crash in 2000. Each time, hedge funds have proved to be survivors, and it would be wrong to bet against them now. Banks such as CitiGroup, brokers such as Bear Stearns and Lehman Brothers, home lenders such as Fannie Mae and Freddie Mac, insurers such as AIG, and money market funds run by giants such as Fidelity-all have failed or been bailed out. But the hedge fund industry has survived the test of 2008 far better than its rivals. The future of finance lies in the history of hedge funds.

    In The Hidden Power of Social Networks, Cross and Parker, experts in "social network analysis"—a technique that visually maps relationships between people in large, distributed groups - apply this powerful tool to management for the first time. Based on their in-depth study of sixty informal employee networks in well-known companies around the world, Cross and Parker show managers how to conduct a social network analysis of their organization.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    Indeed, such equations are crucial to mathematical physics. Although simplifications can be made that reduce these equations to ordinary differential equations, nevertheless the complete description of physical systems resides in the general area of partial differential equations.This highly useful text shows the reader how to formulate a partial differential equation from the physical problem (constructing the mathematical model) and how to solve the equation (along with initial and boundary conditions). Written for advanced undergraduate and graduate students, as well as professionals working in the applied sciences, this clearly written book offers realistic, practical coverage of diffusion-type problems, hyperbolic-type problems, elliptic-type problems, and numerical and approximate methods. Each chapter contains a selection of relevant problems (answers are provided) and suggestions for further reading.

    One million people can create new market for a business, spark a social movement, or effect political change. In 1996, a microtrend identified by Penn ("soccer moms") was crucial in re-electing President Clinton. With years of experience as one of world's most highly regarded pollsters, Mark Penn identifies the new microtrends sweeping the world: *Single women by choice: More often than ever before, they aren't waiting for Mr. Right. They are raising children by themselves and buying their own homes.*Splitters: A growing number of middle-class residents are shuttling between two homes, creating new communities and dynamics in the real estate market.*Sun Haters: Environmentalists, skin cancer survivors, and parents concerned about the impact the sun is having on our health.*Philo-semites: A growing number of people want to date Jewish men and women.*Classical Music Dads: Older men who are fathers in their 40's and 50's and taking on a larger role in the nurturing of their children and becoming an important factor in consumer culture for kids. Penn highlights everything from religion to politics, from leisure pursuits to relationships. MICROTRENDS will take the reader deep into the worlds of polling, targeting, and psychographic analysis, reaching tantalizing conclusions through engaging analysis.

    accrual method Inventory and Cost of Goods Sold How to calculate depreciation and amortization expenses