It provides guidance to help customers apply best practices in the design, delivery, and maintenance of secure AWS environments. This documentation is offered for free here as a Kindle book, or you can read it in PDF format at https://aws.amazon.com/whitepapers/.

    "Programming Entity Framework, 1st Edition" offers experienced developers a thorough introduction to Microsoft's core framework for modeling and interacting with data in .NET applications. This hands-on tour provides a deep understanding of Entity Framework's architecture and APIs, and explains how to use the framework in a variety of applications built with Visual Studio 2008 and .NET 3.5.From the Entity Data Model (EDM) and Object Services to EntityClient and the Metadata Workspace, this highly acclaimed first edition covers it all.Understand the core concepts you need to make the best use of the Entity Framework (EF) in your applicationsLearn to query your data, using either LINQ to Entities or Entity SQLCreate Windows Forms, WPF, and ASP.NET applicationsBuild ASMX web services and WCF servicesUse Object Services to work directly with your entity objectsDelve into model customization, relationship management, change tracking, data concurrency, and moreOne important note: while many of the lessons from this book will continue to be valuable as you move to .NET 4, the thoroughly revised second edition of "Programming Entity Framework" (August 2010) specifically targets Visual Studio 2010 and .NET 4 -- where there have been many advancements and additions to the framework.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    Sam Ladner fills the gap by advancing rigorous ethnographic practice that is tailored to corporate settings where colleagues are not steeped in social theory, research time lines may be days rather than months or years, and research sponsors expect actionable outcomes and recommendations. Ladner provides step-by-step guidance at every turn--covering core methods, research design, using the latest mobile and digital technologies, project and client management, ethics, reporting, and translating your findings into business strategies. This book is the perfect resource for private-sector researchers, designers, and managers seeking robust ethnographic tools or academic researchers hoping to conduct research in corporate settings. More information on the book is available at http://www.practicalethnography.com/.