We are swamped by illegal immigrants and infiltrated by terrorists, our jobs stolen, our welfare system abused, our way of life destroyed--or so we are told. At a time when National Guard units are deployed alongside vigilante Minutemen on the U.S.-Mexico border, where the death toll in the past decade now exceeds 9/11's, Philippe Legrain has written the first book about immigration that looks beyond the headlines. Why are ever-rising numbers of people from poor countries arriving in the United States, Europe, and Australia? Can we keep them out? Should we even be trying?Combining compelling firsthand reporting from around the world, incisive socioeconomic analysis, and a broad understanding of what's at stake politically and culturally, Immigrants is a passionate but lucid book. In our open world, more people will inevitably move across borders, Legrain says--and we should generally welcome them. They do the jobs we can't or won't do--and their diversity enriches us all. Left and Right, free marketeers and campaigners for global justice, enlightened patriots--all should rally behind the cause of freer migration, because They need Us and We need Them.

    It includes all the diagnostic criteria from DSM-IV-TR(R) in an easy-to-use, paperback format.In making DSM-IV diagnosis, clinicians and researchers may find it convenient to consult the Quick Reference to the Diagnostic Criteria From DSM-IV-TR(R), a pocket sized book that contains the classification, the diagnosis criteria, and a listing of the most important conditions to be considered in a differential diagnosis for each category.

    

    The text begins with a discussion of the real number system as a complete ordered field. (Dedekind's construction is now treated in an appendix to Chapter I.) The topological background needed for the development of convergence, continuity, differentiation and integration is provided in Chapter 2. There is a new section on the gamma function, and many new and interesting exercises are included. This text is part of the Walter Rudin Student Series in Advanced Mathematics.

    Now in its third edition, this best selling methodology resource gives both experienced and prospective teachers the theoretical background and practical applications they need to succeed.

    

    

    A daily tool of the trade for specialists. Handbook of Usability Testing gives you practical, step-by-step guidelines in plain English. Written by Jeffrey Rubin, it arms beginners with the full complement of proven testing tools and techniques. From software, GUIs, and technical documentation, to medical instruments, VCRs, and exercise bikes, no matter what your product, you'll learn to design and administer extremely reliable tests to ensure that people find it easy and desirable to use. * Requires no engineering or human factors training * A rigorous, step-by-step approach--with an eye to common gaffes and pitfalls--saves you months of trial and error * Liberally peppered with real-life examples and case histories taken from a wide range of industries * Packed with extremely usable templates, models, tables, test plans, and other indispensable tools of the trade

    It uses examples and exercise sets, with clear explanations of problem-solving techniqes and material on the further theory of functions.

     Coauthored by the designer of the Scala language, this authoritative book will teach you, one step at a time, the Scala language and the ideas behind it. The book is carefully crafted to help you learn. The first few chapters will give you enough of the basics that you can already start using Scala for simple tasks. The entire book is organized so that each new concept builds on concepts that came before - a series of steps that promises to help you master the Scala language and the important ideas about programming that Scala embodies. A comprehensive tutorial and reference for Scala, this book covers the entire language and important libraries.

    Renowned for her lucid, accessible prose, Epp explains complex, abstract concepts with clarity and precision. This book presents not only the major themes of discrete mathematics, but also the reasoning that underlies mathematical thought. Students develop the ability to think abstractly as they study the ideas of logic and proof. While learning about such concepts as logic circuits and computer addition, algorithm analysis, recursive thinking, computability, automata, cryptography, and combinatorics, students discover that the ideas of discrete mathematics underlie and are essential to the science and technology of the computer age. Overall, Epp's emphasis on reasoning provides students with a strong foundation for computer science and upper-level mathematics courses.

    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

    More importantly, this book provides a framework for thinking about computer organization and design that will enable the reader to continue the lifetime of learning necessary for staying at the forefront of this competitive discipline. --John Crawford Intel Fellow Director of Microprocessor Architecture, Intel The performance of software systems is dramatically affected by how well software designers understand the basic hardware technologies at work in a system. Similarly, hardware designers must understand the far reaching effects their design decisions have on software applications. For readers in either category, this classic introduction to the field provides a deep look into the computer. It demonstrates the relationship between the software and hardware and focuses on the foundational concepts that are the basis for current computer design. Using a distinctive learning by evolution approach the authors present each idea from its first principles, guiding readers through a series of worked examples that incrementally add more complex instructions until they ha

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/

    Authors Juliet Corbin and the late Anselm Strauss (co-creator of Grounded Theory) present methods that enable researchers to analyze and interpret their data, and ultimately build theory from it. Highly accessible in their approach, Corbin and Strauss provide a step-by-step guide to the research act--from the formation of the research question through several approaches to coding and analysis, to reporting on the research. Full of definitions and illustrative examples, this book concludes with chapters that present criteria for evaluating a study, as well as responses to common questions posed by students of qualitative research. Significantly revised, Basics of Qualitative Research remains a landmark volume in the study of qualitative methods. Key Features of the Third Edition:Allows for students to develop their critical thinking skills in the "Critical Issues" section at the end of each chapter.Shows the actual steps involved in data analysis (from description to grounded theory) and data gathering by means of theoretical sampling.Provides exercises for thinking, writing and group discussion that reinforces material presented in the text.