In this masterfully written and brilliantly informed work of scientific history and explanation, Dr. Thorne, the Feynman Professor of Theoretical Physics at Caltech, leads his readers through an elegant, always human, tapestry of interlocking themes, coming finally to a uniquely informed answer to the great question: what principles control our universe and why do physicists think they know the things they think they know? Stephen Hawking's A Brief History of Time has been one of the greatest best-sellers in publishing history. Anyone who struggled with that book will find here a more slowly paced but equally mind-stretching experience, with the added fascination of a rich historical and human component.

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    In One Renegade Cell, Weinberg presents a state-of-the-art account of how cancer begins and how, one day, it will be cured.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    Kaku skillfully guides us through the latest innovations in string theory and its latest iteration, M-theory, which posits that our universe may be just one in an endless multiverse, a singular bubble floating in a sea of infinite bubble universes. If M-theory is proven correct, we may perhaps finally find answer to the question, “What happened before the big bang?” This is an exciting and unforgettable introduction into the new cutting-edge theories of physics and cosmology from one of the pre-eminent voices in the field.

    While some books explore our genetic inheritance and popular television shows celebrate ancestry, this is the first book to explore how everything from DNA to emotions to names and the stories that form our lives are all part of our human legacy. This book shows how trust is inherited in Africa, silence is passed down in Tasmania, and how the history of nations is written in our DNA. From fateful, ancient encounters to modern mass migrations and medical diagnoses, Kenneally explains how the forces that shaped the history of the world ultimately shape each human who inhabits it. The Invisible History of the Human Race is a deeply researched, carefully crafted, and provocative perspective on how our stories, psychology, and genetics affect our past and our future.

    Beginning near the speed of light and proceeding to explorations of space-time and curved spaces, "Introducing Relativity" plots a visually accessible course through the thought experiments that have given shape to contemporary physics. Scientists from Newton to Hawking add their unique contributions to this story, as we encounter Einstein's astounding vision of gravity as the curvature of space-time and arrive at the breathtakingly beautiful field equations. Einstein's legacy is reviewed in the most advanced frontiers of physics today - black holes, gravitational waves, the accelerating universe and string theory. This is a superlative, fascinating graphic account of Einstein's strange world and how his legacy has been built upon since.

    Converging findings from a variety of disciplines are leading to the emergence of a fundamentally new view of the human mind, and with it a new framework for the behavioral and social sciences. First, with the advent of the cognitive revolution, human nature can finally be defined precisely as the set of universal, species-typical information-processing programs that operate beneath the surface of expressed cultural variability. Second, this collection of cognitive programs evolved in the Pleistocene to solve the adaptive problems regularly faced by our hunter-gatherer ancestors--problems such as mate selection, language acquisition, cooperation, and sexual infidelity. Consequently, the traditional view of the mind as a general-purpose computer, tabula rasa, or passive recipient of culture is being replaced by the view that the mind resembles an intricate network of functionally specialized computers, each of which imposes contentful structure on human mental organization and culture. The Adapted Mind explores this new approach--evolutionary psychology--and its implications for a new view of culture.

    But things didn't turn out that way. For a start, we turned out to have far fewer genes than originally thought - just over 20,000, the same sort of number as a fruit fly or worm. What's more, the proportionof DNA consisting of genes coding for proteins was a mere 2%. So, was the rest of the genome accumulated 'junk'?Things have changed since those early heady days of the Human Genome Project. But the emerging picture is if anything far more exciting. In this book, John Parrington explains the key features that are coming to light - some, such as the results of the international ENCODE programme, still much debated and controversial in their scope. He gives an outline of the deeper genome, involving layers of regulatory elements controlling and coordinating the switching on and off of genes; the impact ofits 3D geometry; the discovery of a variety of new RNAs playing critical roles; the epigenetic changes influenced by the environment and life experiences that can make identical twins different and be passed on to the next generation; and the clues coming out of comparisons with the genomes ofNeanderthals as well as that of chimps about the development our species. We are learning more about ourselves, and about the genetic aspects of many diseases. But in its complexity, flexibility, and ability to respond to environmental cues, the human genome is proving to be far more subtle than we ever imagined.

    Written By Two Of Today'S Most Respected Computer Science Educators, Nell Dale And John Lewis, The Text Provides A Broad Overview Of The Many Aspects Of The Discipline From A Generic View Point. Separate Program Language Chapters Are Available As Bundle Items For Those Instructors Who Would Like To Explore A Particular Programming Language With Their Students. The Many Layers Of Computing Are Thoroughly Explained Beginning With The Information Layer, Working Through The Hardware, Programming, Operating Systems, Application, And Communication Layers, And Ending With A Discussion On The Limitations Of Computing. Perfect For Introductory Computing And Computer Science Courses, Computer Science Illuminated, Third Edition's Thorough Presentation Of Computing Systems Provides Computer Science Majors With A Solid Foundation For Further Study, And Offers Non-Majors A Comprehensive And Complete Introduction To Computing.

    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

    The new edition offers a wealth of new information, especially in the areas of taxonomy, genomics, plant hormones, and Arabidopsis research.

    Each clique of scientists has a part of the story correct, but new evidence shows they are all fundamentally wrong.On the one side, we have academics highlighting the astonishing fossil record of China with multiple sites now producing modern human fossils aged between 80 - 120 thousand years, or older. Several extremely ancient fossil finds in China, including Dali, Maba and Jinniushan, place archaic Homo sapiens in this region up to 260,000 years ago.On the other side, we have scientists pointing to Africa's impressive fossil record with its evidence of potential ancestors going back around 6 million years. The evidence of extreme genetic diversity among Africans and the discovery of 300,000-year-old archaic Homo sapiens fossils in Morocco tends to further support the idea that humans came out from Africa. We can understand why both sides are so sure of their positions, and why the debate continues. While leading academics focussed on their own agendas, they overlooked significant evidence. Between the two poles of Out of Africa and Out of Asia Theory, exists a 'Middle Way'. The Forgotten Exodus: The Into Africa Theory of Human Evolution, reveals that within the known fossil record, the current genetic studies and recent paleoclimate models there is compelling evidence for a superior theory of human origins, representing a paradigm displacement.The Into Africa Theory does not dispute the evidence placing the earliest hominins in Africa.However, it does not agree with the consensus view that Homo sapiens emerged there first and later migrated to Eurasia.The Into Africa Theory recognises the extraordinary evidence for critical stages in our development occurring in East and Southeast Asia. It is abundantly clear that as a new concerted effort to gather and evaluate fossil evidence begins in earnest we see astonishing new discoveries. The Into Africa Theorydisputes the claims of Out of Africa and Out of Asia(or Europe) adherents over the starting point for the migration which populated Eurasia approximately 60,000 years ago and identifies the actual location.Amazing facts that you will encounter:-Homo heidelbergensis was not ancestral to modern humans -Denisovan fossils in Siberia carried DNAfrom Australian Aboriginals-An Indonesian supervolcano brought about the end for multiple hominin species-Climate catastrophe locked humans in Africa from 73,000 to 59,000 years ago-There is no African fossil DNA over 10,000 years in age-While supposedly isolated, Aboriginal Australians interbred with Denisovans 44,000 years agoYou will gain access to a long-forgotten conversation involving the famous evolutionary scientists Allan Wilson and Rebecca Cann, in which they admitted that their data suggested Aboriginal Australians were ancestral to all modern humans.Learn why the appearance of the haplogroups foundational to Eurasians, L3 and CT, had to come from a population incursion rather than an in-situ mutation.Explore the cutting-edge scientific findings of 2016 and 2017 alongside a broad range of anomalies long suppressed or ignored in academic circles.The Forgotten Exodus' author Bruce R. Fenton began his journey towards a new understanding of human origins after an expedition to a mysterious megalithic complex in the Ecuadorian Amazon. The Information Systems professional and lifelong scholar of ancient cultures, found himself tracing the threads of the human story across six continents and through 6,000,000 years of history. You will come away with a unique view of humanity and a sense of excitement for revelations still set to arrive. This book reminds all of us that we have a collective ability to overcome enormous obstacles.

    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.

    Hölldobler and Wilson review in exhaustive detail virtually all topics in the anatomy, physiology, social organization, ecology, and natural history of the ants. In large format, with almost a thousand line drawings, photographs, and paintings, it is one of the most visually rich and all-encompassing views of any group of organisms on earth. It will be welcomed both as an introduction to the subject and as an encyclopedia reference for researchers in entomology, ecology, and sociobiology.