The time-tested secrets this book discloses include Cicero’s three-step strategy for moving an audience to action—as well as Honest Abe’s Shameless Trick of lowering an audience’s expectations by pretending to be unpolished. But it’s also replete with contemporary techniques such as politicians’ use of “code” language to appeal to specific groups and an eye-opening assortment of popular-culture dodges—including The Yoda Technique, The Belushi Paradigm, and The Eddie Haskell Ploy. Whether you’re an inveterate lover of language books or just want to win a lot more anger-free arguments on the page, at the podium, or over a beer, Thank You for Arguing is for you. Written by one of today’s most popular language mavens, it’s warm, witty, erudite, and truly enlightening. It not only teaches you how to recognize a paralipsis and a chiasmus when you hear them, but also how to wield such handy and persuasive weapons the next time you really, really want to get your own way.

    Dozens of examples in innumeracy show us how it affects not only personal economics and travel plans, but explains mis-chosen mates, inappropriate drug-testing, and the allure of pseudo-science.

    The book includes full discussions of many problems of current interest which are not treated in any extant book, and all these matters are considered with perception and understanding."—S. Chandrasekhar "A tour de force: lucid, straightforward, mathematically rigorous, exacting in the analysis of the theory in its physical aspect."—L. P. Hughston, Times Higher Education Supplement"Truly excellent. . . . A sophisticated text of manageable size that will probably be read by every student of relativity, astrophysics, and field theory for years to come."—James W. York, Physics Today

    Depending on when you ask this controversial Princeton University guest lecturer, he might answer: "I race motorcycles in Europe." "I ski in the Andes." "I scuba dive in Panama." "I dance tango in Buenos Aires." He has spent more than five years learning the secrets of the New Rich, a fast-growing subculture who has abandoned the "deferred-life plan" and instead mastered the new currencies-time and mobility-to create luxury lifestyles in the here and now. Whether you are an overworked employee or an entrepreneur trapped in your own business, this book is the compass for a new and revolutionary world.Join Tim Ferriss as he teaches you:- How to outsource your life to overseas virtual assistants for $5 per hour and do whatever you want?- How blue-chip escape artists travel the world without quitting their jobs?- How to eliminate 50% of your work in 48 hours using the principles of a forgotten Italian economist?- How to trade a long-haul career for short work bursts and freuent "mini-retirements"?- What the crucial difference is between absolute and relative income?- How to train your boss to value performance over presence, or kill your job (or company) if it's beyond repair?- What automated cash-flow "muses" are and how to create one in 2 to 4 weeks?- How to cultivate selective ignorance-and create time-with a low-information diet?- What the management secrets of Remote Control CEOs are?- How to get free housing worldwide and airfare at 50-80% off?- How to fill the void and create a meaningful life after removing work and the office

    Then they came to Earth and amnesia set in: they forgot they were from different planets.Based on years of successful counseling of couples and individuals, Men Are from Mars, Women Are from Venus has helped millions of couples transform their relationships. Now viewed as a modern classic, this phenomenal book has helped men and women realize how different they really are and how to communicate their needs in such a way that conflict doesn't arise and intimacy is given every chance to grow!!!!

    

    It brings together all the knowledge needed to write any program, use any standard or third-party Python 3 library, and create new library modules of your own.

    In this unconventional introduction, physicist Leonard Susskind and hacker-scientist George Hrabovsky offer a first course in physics and associated math for the ardent amateur. Unlike most popular physics books—which give readers a taste of what physicists know but shy away from equations or math—Susskind and Hrabovsky actually teach the skills you need to do physics, beginning with classical mechanics, yourself. Based on Susskind's enormously popular Stanford University-based (and YouTube-featured) continuing-education course, the authors cover the minimum—the theoretical minimum of the title—that readers need to master to study more advanced topics.An alternative to the conventional go-to-college method, The Theoretical Minimum provides a tool kit for amateur scientists to learn physics at their own pace.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of "Learning Python" puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. "Learning Python," Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of "Learning Python" also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of "Learning Python" gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding."Learning Python," Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then "Learning Python," Second Edition is your best choice.

    Featuring two of Chomsky's most popular and enduring books in one omnibus volume, On Language contains some of the noted linguist and political critic's most informal and accessible work to date, making it an ideal introduction to his thought.In Part I, Language and Responsibility (1979), Chomsky presents a fascinating self-portrait of his political, moral, and linguistic thinking through a series of interviews with Mitsou Ronat, the noted French linguist. In Part II, Reflections on Language (1975), Chomsky explores the more general implications of the study of language and offers incisive analyses of the controversies among psychologists, philosophers, and linguists over fundamental questions of language.

    In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.

    In these cautionary tales of greedy gamblers, reckless businessmen, and ruthless con men, Sherlock Holmes uses his deep understanding of probability, statistics, decision theory, and game theory to solve crimes and protect the innocent. But it's not just the characters in these well-crafted stories that are deceived by statistics or fall prey to gambling fallacies. We all suffer from the results of poor decisions. In this illuminating collection, Bruce entertains while teaching us to avoid similar blunders. From "The Execution of Andrews" to "The Case of the Gambling Nobleman," there has never been a more exciting way to learn when to take a calculated risk-and how to spot a scam.

    Following closely behind is y, or gamma, a constant that arises in many mathematical areas yet maintains a profound sense of mystery. In a tantalizing blend of history and mathematics, Julian Havil takes the reader on a journey through logarithms and the harmonic series, the two defining elements of gamma, toward the first account of gamma's place in mathematics. Introduced by the Swiss mathematician Leonhard Euler (1707-1783), who figures prominently in this book, gamma is defined as the limit of the sum of 1 + 1/2 + 1/3 + . . . Up to 1/n, minus the natural logarithm of n--the numerical value being 0.5772156. . . . But unlike its more celebrated colleagues π and e, the exact nature of gamma remains a mystery--we don't even know if gamma can be expressed as a fraction. Among the numerous topics that arise during this historical odyssey into fundamental mathematical ideas are the Prime Number Theorem and the most important open problem in mathematics today--the Riemann Hypothesis (though no proof of either is offered!). Sure to be popular with not only students and instructors but all math aficionados, Gamma takes us through countries, centuries, lives, and works, unfolding along the way the stories of some remarkable mathematics from some remarkable mathematicians.-- "Notices of the American Mathematical Society"

    Drucker). We've combed through hundreds of Harvard Business Review articles on leadership and selected the most important ones to help you maximize your own and your organization's performance.HBR's 10 Must Reads On Leadership will inspire you to:- Motivate others to excel- Build your team's self-confidence in others- Provoke positive change- Set direction- Encourage smart risk-taking- Manage with tough empathy- Credit others for your success- Increase self-awareness- Draw strength from adversityThis collection of best-selling articles includes: featured article "What Makes an Effective Executive" by Peter F. Drucker, "What Makes a Leader?" "What Leaders Really Do," "The Work of Leadership," "Why Should Anyone Be Led by You?" "Crucibles of Leadership," "Level 5 Leadership: The Triumph of Humility and Fierce Resolve," "Seven Transformations of Leadership," "Discovering Your Authentic Leadership," and "In Praise of the Incomplete Leader."