Rather than designing all tests in advance, explorers design and execute small, rapid experiments. In this book, you'll learn how to analyze software to discover key points of vulnerability, how to design experiments on the fly, how to hone your observation skills, and how to focus your efforts.You'll start by crafting charters to guide your exploration. Then you'll vary interactions, sequences, data, timing, and configurations. You'll incorporate analysis techniques such as state modeling, data modeling, and defining context diagrams. Finally, you'll apply the skills and techniques in a variety of contexts and integrate exploration into the development cycle from the beginning.You can apply the techniques in this book to any kind of software to discover its capabilities, limitations, and risks.

    Wolfram lets the world see his work in A New Kind of Science, a gorgeous, 1,280-page tome more than a decade in the making. With patience, insight, and self-confidence to spare, Wolfram outlines a fundamental new way of modeling complex systems. On the frontier of complexity science since he was a boy, Wolfram is a champion of cellular automata--256 "programs" governed by simple nonmathematical rules. He points out that even the most complex equations fail to accurately model biological systems, but the simplest cellular automata can produce results straight out of nature--tree branches, stream eddies, and leopard spots, for instance. The graphics in A New Kind of Science show striking resemblance to the patterns we see in nature every day. Wolfram wrote the book in a distinct style meant to make it easy to read, even for nontechies; a basic familiarity with logic is helpful but not essential. Readers will find themselves swept away by the elegant simplicity of Wolfram's ideas and the accidental artistry of the cellular automaton models. Whether or not Wolfram's revolution ultimately gives us the keys to the universe, his new science is absolutely awe-inspiring. --Therese Littleton

    This happens automatically when following agood, simple set of guidelines.*They improve development speed, because the programmer doesn't need toalways make decisions starting from first principles.*They enhance teamwork by eliminating needless debates on inconsequentialissues and by making it easy for teammates to read and maintain each other'scode.The coding standards introduced by this book are a collection of guidelines forwriting high-quality C++ code.***They are the distilled conclusions of a rich collective experience of the C++community. Until now, this body of knowledge has been available only asfolklore or spread in bits and pieces throughout books.

    Agile is increasingly popular with software teams because the ones that have gone agile often talk about the great results they get. The software they build is better, which makes a big difference to them and their users. Not only that, but when agile teams are effective, they have a much better time at work! Things are more relaxed, and the working environment is a lot more enjoyable.Head First Agile is a brain-friendly guide to understanding agile concepts and ideas. Here s what you ll find inside:The agile mindset, what an agile methodology is, and why agile methodologies that seem so different can still all be agileScrum, and how it can help you build better, more valuable software, and make your team and your users happierXP, and how its focus on code and programming can help you and your team build better systemsLean and Kanban, and how they can help your whole team get better every dayWe have two goals for Head First Agile. First and foremost, we want you to learn agile: what it is, and how it can help you build better software and improve your team. But we also are focused on our readers looking to pass the PMI-ACP certification, so not only does the book have 100% coverage of the material for the PMI-ACP exam, it also includes end-of-chapter exam questions, a complete exam study guide, exam tips, and a full-length practice PMI-ACP exam everything that you need to pass the exam.So while Head First Agile is useful for developers, project managers, and others who want to prepare for and pass the PMI-ACP certification exam, this unique book is also valuable for software team members (including developers) who don't necessarily need to pass the PMI-ACP certification exam, but want to learn about agile and how it can help them.Based on the latest research in cognitive science and learning theory, this book uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works."

    'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

    The calculus is not a hard subject and I prove this through an easy to read and obvious approach spanning only 100 pages. I have written this book with the following type of student in mind; the non-traditional student returning to college after a long break, a notoriously weak student in math who just needs to get past calculus to obtain a degree, and the garage tinkerer who wishes to understand a little more about the technical subjects. This book is meant to address the many fundamental thought-blocks that keep the average 'mathaphobe' (or just an interested person who doesn't have the time to enroll in a course) from excelling in mathematics in a clear and concise manner. It is my sincerest hope that this book helps you with your needs.Show more Show less

    The discussion of problem solving strategies is extensive. It is written for trainers and participants of contests of all levels up to the highest level: IMO, Tournament of the Towns, and the noncalculus parts of the Putnam Competition. It will appeal to high school teachers conducting a mathematics club who need a range of simple to complex problems and to those instructors wishing to pose a "problem of the week", "problem of the month", and "research problem of the year" to their students, thus bringing a creative atmosphere into their classrooms with continuous discussions of mathematical problems. This volume is a must-have for instructors wishing to enrich their teaching with some interesting non-routine problems and for individuals who are just interested in solving difficult and challenging problems. Each chapter starts with typical examples illustrating the central concepts and is followed by a number of carefully selected problems and their solutions. Most of the solutions are complete, but some merely point to the road leading to the final solution. Very few problems have no solutions. Readers interested in increasing the effectiveness of the book can do so by working on the examples in addition to the problems thereby increasing the number of problems to over 1300. In addition to being a valuable resource of mathematical problems and solution strategies, this volume is the most complete training book on the market.

    With jokes, puns, and a rigorous problem solving based approach. You can download all the code samples used in the book from here: http://www.robmiles.com/s/Yellow-Book...