Gigabytes, exabytes (that’s one quintillion bytes) of data are sitting on servers across the world. So how can we start to access this explosion of information, this “big data,” and what can it tell us?   Erez Aiden and Jean-Baptiste Michel are two young scientists at Harvard who started to ask those questions. They teamed up with Google to create the Ngram Viewer, a Web-based tool that can chart words throughout the massive Google Books archive, sifting through billions of words to find fascinating cultural trends. On the day that the Ngram Viewer debuted in 2010, more than one million queries were run through it.   On the front lines of Big Data, Aiden and Michel realized that this big dataset—the Google Books archive that contains remarkable information on the human experience—had huge implications for looking at our shared human history. The tool they developed to delve into the data has enabled researchers to track how our language has evolved over time, how art has been censored, how fame can grow and fade, how nations trend toward war. How we remember and how we forget. And ultimately, how Big Data is changing the game for the sciences, humanities, politics, business, and our culture.

     Readers will gain an understanding not only of how to use the system, its components, and the programs, but also how these fit into the total environment.

    Shotton's unique vantage as an insider and friend makes his account a must-read for Beatles fans everywhere. Photos.

    It won’t crush you. It’s light as a feather (because I haven’t finished it yet—hehe). And there’s a reason this book will stay light: because Ruby is simple to learn.[Why’s (Poignant) Guide to Ruby is released under the Attribution-ShareAlike License. So, yes, please distribute it and print it and read it leisurely in your housecoat.]

    With step-by-step instructions, complete scripts, and expert tips to guide readers, this work gets right down to business - after grounding readers with separate discussions of first the scripting language (PHP) and then the database program (MySQL), it goes on to cover security, sessions and cookies, and using additional Web tools.

    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

    Like his teammates and rivals, he trained for countless hours, sacrificing his body and potential career for a chance at fleeting glory without fortune or fame. His only goal: to win Nationals and go down in Ultimate history as one of the greatest athletes no one has ever heard of.With humor and raw honesty, Gessner explores what it means to devote one's life to something that many consider ridiculous. Today, Ultimate is played by millions, but in the 1980s, it was an obscure sport with a (mostly) undeserved stoner reputation. Its early heroes were as scrappy as the sport they loved, driven by fierce competition, intense rivalries, epic parties, and the noble ideals of the Spirit of the Game. Ultimate Glory is a portrait of the artist as a young ruffian. Gessner shares the field and his seemingly insane obsession with a cast of closely knit, larger-than-life characters. As his sport grows up, so does he, and eventually he gives up chasing flying discs to pursue a career as a writer. But he never forgets his love for this misunderstood sport and the rare sense of purpose he attained as a member of its priesthood.

    Unlike many men their age, they may also suffer from sleep problems, osteoporosis, and depression. Too many middle-aged women have lost interest in sex, and they seem to age less slowly and gracefully than their male counterparts.Dr. Tami Meraglia knows that the magic word here is testosterone. While there is ample discussion in the medical community about the effects of estrogen loss, few people are aware of the importance of sufficient testosterone levels in women. A healthy balance helps women slim down, improves their mood, lowers the risk of cardiac disease, increases energy and libido, prevents osteoporosis, enhances skin tone and texture, and may even prevent cognitive decline—yet more than 90 percent of women over age forty-five suffer from low testosterone levels. In The Hormone Secret, Dr. Tami offers a thirty-day plan to fix this imbalance, using evidence-based remedies including herbs, vitamins, nutrition, and sometimes topical creams and bioidentical testosterone replacement therapy (they key is low dosage to prevent unwanted side effects). She also offers her hormone-customized Mediterranean Diet–based meal plan and low-impact exercise ideas that will immediately boost your energy levels.With cutting-edge research and strong scientific evidence to support Dr. Tami’s thirty-day plan, The Hormone Secret gives you all the information you need to balance your hormones and improve your vitality for a strong and healthy life.

    Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you're ready to get started.Use R's default graphics for quick exploration of dataCreate a variety of bar graphs, line graphs, and scatter plotsSummarize data distributions with histograms, density curves, box plots, and other examplesProvide annotations to help viewers interpret dataControl the overall appearance of graphicsRender data groups alongside each other for easy comparisonUse colors in plotsCreate network graphs, heat maps, and 3D scatter plotsStructure data for graphing

    It bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Throughout the text, the emphasis on examples gives a concrete reality to economic relationships and allows treatment of interesting policy questions in a realistic and accessible framework.

    In writing the book James Stewart asked himself: What is essential for a three-semester calculus course for scientists and engineers? Stewart's ESSENTIAL CALCULUS offers a concise approach to teaching calculus that focuses on major concepts and supports those concepts with precise definitions, patient explanations, and carefully graded problems. Essential Calculus is only 850 pages-two-thirds the size of Stewart's other calculus texts (CALCULUS, Fifth Edition and CALCULUS, EARLY TRANSCENDENTALS, Fifth Edition)-and yet it contains almost all of the same topics. The author achieved this relative brevity mainly by condensing the exposition and by putting some of the features on the website, www.StewartCalculus.com. Despite the reduced size of the book, there is still a modern flavor: Conceptual understanding and technology are not neglected, though they are not as prominent as in Stewart's other books. ESSENTIAL CALCULUS has been written with the same attention to detail, eye for innovation, and meticulous accuracy that have made Stewart's textbooks the best-selling calculus texts in the world.

    Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas: Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself. The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research. Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena.The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.

    Free of review and ramp-up material, Statistics Essentials For Dummies sticks to the point, with content focused on key course topics only. It provides discrete explanations of essential concepts taught in a typical first semester college-level statistics course, from odds and error margins to confidence intervals and conclusions. This guide is also a perfect reference for parents who need to review critical statistics concepts as they help high school students with homework assignments, as well as for adult learners headed back into the classroom who just need a refresher of the core concepts. The Essentials For Dummies Series Dummies is proud to present our new series, The Essentials For Dummies. Now students who are prepping for exams, preparing to study new material, or who just need a refresher can have a concise, easy-to-understand review guide that covers an entire course by concentrating solely on the most important concepts. From algebra and chemistry to grammar and Spanish, our expert authors focus on the skills students most need to succeed in a subject.

    " "" Practical and comprehensive, "Foundations of Addiction Counseling "explores an array of techniques and skills that a new practitioner will need in the real world while providing a thorough review of the research, theory, and history of addiction counseling. With chapters written by expert scholars, this text covers many topics in-depth often ignored by other comparable books, such as professional issues in addictions counseling, the assessment of client strengths, gender issues in substance abuse, working in rehabilitation centers, and working with clients with disabilities. The second edition of this unique text offers prospective counselors the tools and strategies they will need for working with general and special populations, including assessment tools, strategies for outpatient and inpatient treatment, information about maintenance and relapse prevention, and counseling strategies for couples, families, children, adolescents, college students, and recovering addicts. The revised edition includes expanded discussions on a number of topics, new case studies, and completely updated resources and web references.

    The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.About the TechnologyR is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.About the BookR in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's InsidePractical data analysis, step by stepInterfacing R with other softwareUsing R to visualize dataOver 130 graphsEight reference appendixes================================Table of ContentsPart I Getting startedIntroduction to RCreating a datasetGetting started with graphsBasic data managementAdvanced data managementPart II Basic methodsBasic graphsBasic statisticsPart III Intermediate methodsRegressionAnalysis of variancePower analysisIntermediate graphsRe-sampling statistics and bootstrappingPart IV Advanced methodsGeneralized linear modelsPrincipal components and factor analysisAdvanced methods for missing dataAdvanced graphics