How many authors would travel coast to coast on a bus to get their book into as many hands as possible? Not many. But that's just what Ron Clark, author of The Essential 55, did to keep his book and message in the public eye. And it worked. After his Oprah appearance, sales skyrocketed: we've sold more than 850,000 copies in six months! The book sat tenaciously on the New York Times bestseller list for 11 weeks. Ron Clark was featured on the Today show, and in the Chicago Tribune, Good Housekeeping, and the New York Daily News--not to mention the calls we've received from teachers and parents who want to get their hands on Ron's guidelines for teaching children. Now in paperback, The Essential 55 will be the perfect book for parents and teachers to slip into their own backpacks, to read on the train or at lunch, and to highlight the sections that resonate for them. And with an author who is truly a partner in getting his message to the masses, we just can't lose.

    Wright Mills is best remembered for his highly acclaimed work The Sociological Imagination, in which he set forth his views on how social science should be pursued. Hailed upon publication as a cogent and hard-hitting critique, The Sociological Imagination took issue with the ascendant schools of sociology in the United States, calling for a humanist sociology connecting the social, personal, and historical dimensions of our lives. The sociological imagination Mills calls for is a sociological vision, a way of looking at the world that can see links between the apparently private problems of the individual and important social issues.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

    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.

    

    It combines a detailed textbook that emphasizes clinical and functional correlates of histology with a beautifully illustrated atlas featuring full-color digital micrographs of the highest quality.This edition includes over 100 new illustrations, more Clinical Correlation boxes on the histology of common medical conditions, and new information on the molecular biology of endothelial cell function. Terminology throughout the text is consistent with Terminologia Anatomica.A powerful interactive histology atlas CD-ROM for students is included with the book and features all of the plates found in the text with interactive functionality.

    Beginning at the time of Alexander the Great, the monsters come fast and furious--Behemoth and Leviathan, Gog and Magog, Satan and his demons, Grendel and Frankenstein, circus freaks and headless children, right up to the serial killers and terrorists of today and the post-human cyborgs oftomorrow. Monsters embody our deepest anxieties and vulnerabilities, Asma argues, but they also symbolize the mysterious and incoherent territory beyond the safe enclosures of rational thought. Exploring sources as diverse as philosophical treatises, scientific notebooks, and novels, Asma unravelstraditional monster stories for the clues they offer about the inner logic of an era's fears and fascinations. In doing so, he illuminates the many ways monsters have become repositories for those human qualities that must be repudiated, externalized, and defeated.

    Of particular importance is the examination of Bayesianism and the new experimentalism, as well as new chapters on the nature of scientific laws and recent trends in the realism versus anti-realism debate."Crisp, lucid and studded with telling examples… As a handy guide to recent alarums and excursions (in the philosophy of science) I find this book vigorous, gallant and useful."New Scientist

    Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition's presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman′s original research studies are profiled and accompanied with new examples from Salda�a′s recent qualitative work. The book′s most celebrated chapter, Drawing and Verifying Conclusions, is retained and revised, and the chapter on report writing has been greatly expanded, and is now called Writing About Qualitative Research. Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.

    The text incorporates examples from around the world and from everyday life to make the material relevant to a wide range of students. Research methods are emphasized throughout in order to demonstrate how cultural psychologists study the close-knit relationship between culture and the ways we think and behave. Three unique chapters bring an interdisciplinary dimension to the text, examining cultural evolution, mental health, and morality from the perspective of cultural psychology.

    Every aircraft is equipped with an almost indestructible black box. When there is an accident, the box is opened, the data is analyzed, and the reason for the accident excavated. This ensures that procedures are adapted so that the same mistake doesn’t happen again. With this method, the industry has created an astonishing safety record.For pilots working in a safety-critical industry, getting it wrong can have deadly consequences. But most of us have a relationship with failure that impedes progress, halts innovation, and damages our lives. We don’t acknowledge it or learn from it —though we often think we do.Moving from anthropology to psychology and from history to complexity theory, Matthew Syed explains why even when we think we have 20/20 hindsight, our vision’s still fuzzy. He offers a radical new idea: that the most important determinant of success in any field, whether sports, business, or life, is an acknowledgment of failure and a willingness to engage with it. This is how we learn, progress and excel. This approach explains everything from biological evolution and the efficiency of markets to the success of the Mercedes F1 team and the mindset of David Beckham.Using a cornucopia of interviews, gripping stories, and sharp-edged science, Syed explores the intimate relationship between failure and success, and shows why we need to transport black box thinking into our own lives. If we wish to unleash our potential, we must diagnose and break free of our failures. Part manifesto for change, part intellectual adventure, this groundbreaking book reveals how to do both.

    The Sociology Book takes on some of humankind's biggest questions: What is society? What makes it tick? Why do we interact in the way that we do with our friends, coworkers, and rivals? The Sociology Book profiles the world's most renowned sociologists and more than 100 of their biggest ideas, including issues of equality, diversity, identity, and human rights; the effects of globalization; the role of institutions; and the rise of urban living in modern societyEasy to navigate and chock-full of key concepts, profiles of major sociological thinkers, and conversation starters galore, this is a must-have, in-a-nutshell guide to some of the most fascinating questions on earth.The Sociology Book is part of the award-winning Big Ideas Simply Explained series, designed to distill big ideas and elusive theories into graspable, memorable concepts, using an approachable graphic treatment and creative typography.

    Each technique is introduced with a simple, jargon-free explanation, practical examples, and hands-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackboard" sections review the equations that provide the foundations for important concepts. David M. Levine is a much-honored innovator in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Basic Business Statistics, Quality Management, and Six Sigma for Green Belts and Champions. Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in making Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine. Here's just some of what you'll learn how to do... Use statistics in your everyday work or study Perform common statistical tasks using a Texas Instruments statistical calculator or Microsoft Excel Build and interpret statistical charts and tables "Test Yourself" at the end of each chapter to review the concepts and methods that you learned in the chapter Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses and decision-making risks with Z, t, Chi-Square, ANOVA, and other techniques Perform regression analysis and modeling The easy, practical introduction to statistics--for everyone! Thought you couldn't learn statistics? Think again. You can--and you will!

    Descartes's Meditations on First Philosophy, the fundamental and originating work of the modern era in Western philosophy, is presented here in Donald Cress's completely revised edition of his well-established translation, bringing this version even closer to Descartes's original, while maintaining its clear and accessible style.