Moms in particular will welcome this trend.  A full 60% wish they had a flexible work option. But companies see advantages too in the way remote work increases their talent pool, reduces turnover, lessens their real estate footprint, and improves the ability to conduct business across multiple time zones, to name just a few advantages.  In Remote, inconoclastic authors Fried and Hansson will convince readers that letting all or part of work teams function remotely is a great idea--and they're going to show precisely how a remote work setup can be accomplished.

    But this book offers more. It provides important insights into both what can go right and what can go wrong in a product offering. To make great products, we need to understand what makes some fail and others succeed. To all the aspiring, young entrepreneurs who are reading this: take heed. Embrace failure to learn from failure. Learn from failure to avoid failure." —Don Norman Co-founder, Nielsen Norman Group Author of The Design of Everyday Things (Revised and Expanded) Just as pilots and doctors improve by studying crash reports and postmortems, experience designers can improve by learning how customer experience failures cause products to fail in the marketplace. Rather than proselytizing a particular approach to design, Why We Fail holistically explores what teams actually built, why the products failed, and how we can learn from the past to avoid failure ourselves.Why We Fail will help you:1. Understand the key mistakes other teams have made so you don't repeat them2. Turn unavoidable failures into building blocks to be successful3. Create a team environment where failures are controlled and valuable

    But building a popular API with a thriving developer ecosystem is also one of the most challenging. With this practical guide, developers, architects, and tech leads will learn how to navigate complex decisions for designing, scaling, marketing, and evolving interoperable APIs.Authors Brenda Jin, Saurabh Sahni, and Amir Shevat explain API design theory and provide hands-on exercises for building your web API and managing its operation in production. You'll also learn how to build and maintain a following of app developers. This book includes expert advice, worksheets, checklists, and case studies from companies including Slack, Stripe, Facebook, Microsoft, Cloudinary, Oracle, and GitHub.Get an overview of request-response and event-driven API design paradigmsLearn best practices for designing an API that meets the needs of your usersUse a template to create an API design processScale your web API to support a growing number of API calls and use casesRegularly adapt the API to reflect changes to your product or businessProvide developer resources that include API documentation, samples, and tools

     Within these pages, you’ll find a treasure trove of myths, legends, folktales, urban legends, historical accounts, and stories about horrors, both ancient and modern, that have been hidden, ignored, or forgotten entirely. “The Monsters We Forgot” is a massive anthology of horror stories by an international team of authors ranging from award-winners and bestsellers to visionary newcomers. These stories draw inspiration from the folklore traditions of countries including Russia, Brazil, Mexico, Japan, Taiwan, Australia, Ireland, Wales, England, Norway, Nigeria, Greece, Poland, the Caribbean, the Middle East, Canada, and the United States, the tales in this three-volume collection range from original folktales and chilling myths to information-age monsters and modern urban legends, and everything in between. Turn on the lights, check the locks, and settle in. You’re about to remember The Monsters We Forgot.

    You'll learn the tricks for fixing common problems, retouching secrets, how to colour correct any photo, and a whole chapter is dedicated to Photoshop special effects.

    Bren Farlan, son of Thaddeus Torin must take up his father's place and fight against the hidden threats at the same time he fights against the Mage's Tower for control over the small piece of land that his father left him. Growing up sheltered by his mother has left him woefully unprepared for the trails he must face and only with the help of his friends can he hope to make it through the trails that lie ahead.

    Daniel has pushed me to my absolute wits’ end. Sometimes it really does feel like he is the original child from hell.”When he was younger Daniel’s behaviour was challenging, earning him the nickname “the boy from hell” – and it was no real surprise when he was diagnosed with Attention Deficit Hyperactivity Disorder at the age of six.The Boy from Hell: Life with a Child with ADHD is the story of the first fifteen years of Daniel’s life, as told by his mum. From struggles to find the right schooling through diagnosis and medication to brushes with the law, it’s been a rollercoaster ride of a journey that every parent of a child with ADHD will recognise.As well as sharing their unique experience, Alison Thompson shares advice and information that has helped her along the way, and offers hope for the future for the many families living with an ADHD child. You’ll also hear about life with ADHD from the sibling’s perspective, and from Daniel himself.“A well researched, informative and accessible guide, full of practical tips for parents and professionals - especially teachers! This book is a must for anyone whose life has been touched by ADHD.”Dr Tony Lloyd, CEO, ADHD Foundation“The Boy from Hell is like a parents’ survival guide, offering private comfort and reassurance that it won’t always be like this, and though every battle may take you to the brink of exhaustion it will all be worth it in the end. Oh, and it’s proof that a mother’s instinct about her beautiful yet challenging son is always right!”Annemarie Main, mother of a child with ADHD

    Period. In this economy ruled by ideas, the only sustainable form of leadership is brand leadership.The book offers a practical view of how branding decisions happen in the context of business strategy, not just in marketing communications. It brings in business strategy, customer experience, and anthropological perspectives as well.This new and adapted version of the book carries the design and follows the same format from the previous versions but includes many important additions, including information on how traditional branding is being challenged in a connected world as well as new case studies of companies that have applied similar concepts to achieve success.

    In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice.This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises.This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective.

    No longer is execution speed the sole criterion for judging compiled code. Today, code might be judged on how small it is, how much power it consumes, how well it compresses, or how many page faults it generates. In this evolving environment, the task of building a successful compiler relies upon the compiler writer's ability to balance and blend algorithms, engineering insights, and careful planning. Today's compiler writer must choose a path through a design space that is filled with diverse alternatives, each with distinct costs, advantages, and complexities.Engineering a Compiler explores this design space by presenting some of the ways these problems have been solved, and the constraints that made each of those solutions attractive. By understanding the parameters of the problem and their impact on compiler design, the authors hope to convey both the depth of the problems and the breadth of possible solutions. Their goal is to cover a broad enough selection of material to show readers that real tradeoffs exist, and that the impact of those choices can be both subtle and far-reaching.Authors Keith Cooper and Linda Torczon convey both the art and the science of compiler construction and show best practice algorithms for the major passes of a compiler. Their text re-balances the curriculum for an introductory course in compiler construction to reflect the issues that arise in current practice.

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    Now in a new Ninth Edition, this reader-friendly book has been completely revised and improved to ensure that the learning experience is enhanced. It's built on the strength of Irwin's problem-solving methodology, providing readers with a strong foundation as they advance in the field.

    The coverage also features learning aids.