Completely updated, this popular guide provides teachers with a proven method for documenting (collecting, analyzing, and displaying) young children’s work. Written by teachers for teachers, it also shows principals, curriculum coordinators, and directors of early intervention programs how to develop children’s portfolios to share with parents or to use for assessment and other accountability purposes. “This lively, informative book poses a remarkable challenge to teachers—to grow themselves while growing young children. Being creatively accountable is hard work and the stories told here describe both the work, how it’s done, and its joyful rewards for teachers and children.” —Elizabeth Jones, Pacific Oaks College “This book provides a set of windows on children’s lives and how teachers can enter into those lives and enrich them through high-quality teaching. The authors have created an inspiring volume, a challenging set of ideas, and an invaluable resource for early childhood educators.” —Samuel J. Meisels, University of Michigan “[A] thoughtful, up-to-date guide to assessing and documenting children’s work. . . . The authors give clear, practical advice on how to collect, analyze, and display children’s work in meaningful ways.” —Scholastic Early Childhood Today (on first edition) “Many teachers find it frustrating to hear the rich and exciting learning experiences they provide described as ‘nothing.’ Windows on Learning skillfully addresses the challenge faced by early childhood educators wishing to share classroom experiences with parents, administrators, and peers. The authors offer a timely and fresh approach to documenting children’s learning and work.” —Childhood Education (on first edition)

Now completely updated, this book addresses the challenges faced by early childhood educators wishing to share classroom experiences with parents, administrators, and peers. This popular guide provides a proven method for documenting young childrens work at school and is applicable to many different curriculum models.

This book challenges some of the conventional wisdoms on the learning of mathematics. The authors use the computer as a window onto mathematical meaning-making. The pivot of their theory is the idea of webbing, which explains how someone struggling with a new mathematical idea can draw on supportive knowledge, and reconciles the individual's role in mathematical learning with the part played by epistemological, social and cultural forces.

Summary Learn Windows IIS in a Month of Lunches is an innovative tutorial designed for busy administrators. Even if you have no prior exposure to IIS, you can follow the crisp explanations, examples, and exercises in this concise, easy-to-read book. Just set aside one hour a day—lunchtime would be perfect—for a month, and you'll be managing, securing, and automating IIS administrative tasks faster than you thought possible. About this Book When your website slows to a crawl or Exchange stops sending internet mail, you have to get things working again. Fast. IIS is the communication gateway for most Microsoft servers as well as the primary technology for publishing web sites. Learning to manage it effectively means you can keep your systems running smoothly and go home on time. Learn Windows IIS in a Month of Lunches is an innovative tutorial designed for busy administrators. Follow the crisp explanations, examples, and exercises in this concise, easy-to-read book, and you'll be managing, securing, and automating IIS faster than you thought possible. You'll start with IIS fundamentals, and then systematically explore web farm design, website management, and high availability, along with practices to keep your Exchange, SharePoint, System Center, and Lync servers running smoothly. Written for anyone who needs to manage IIS, whether you're an IT pro or a reluctant administrator. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside 24 bite-sized lessons with practice examples High-value troubleshooting techniques No previous IIS experience assumed About the AuthorJason Helmick is a professional trainer and consultant specializing in Active Directory and IIS. He's the founder of the Arizona PowerShell User Group. Table of Contents Before you begin Deploying the web server Exploring and launching a website Managing application pools Adding more websites to your server What every administrator should know about web applications Securing your sites and web applications Securing the server Protecting data with certificates FTP and SMTP with IIS Sharing administrative responsibilities through remote management Optimizing sites for users and search engines Building a web farm with Microsoft Network Load Balancing Building a web farm with Application Request Routing High availability for ARR using Microsoft NLB Sharing content and configuration to the web farm Sharing IIS configurations for a web farm Using the central certificate store for certificate management Web farm provisioning with the Web Farm Framework Disaster recovery for IIS The final exam Never the end IIS PowerShell cheat sheet Lab setup guide

Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows. The book starts with an introduction to tools for deep learning and computer vision tasks followed by instructions to install, configure, and troubleshoot them. Here, you will learn how Python can help you build deep learning models on Windows. Moving forward, you will build a deep learning model and understand the internal workings of a convolutional neural network on Windows. Further, you will go through different ways to visualize the internal workings of deep learning models along with an understanding of transfer learning where you will learn how to build a model architecture and use data augmentations. Next, you will manage and train deep learning models on Windows before deploying your application as a web application. You’ll also do some basic image processing and work with computer vision options that will help you build various applications with deep learning. Finally, you will use generative adversarial networks along with reinforcement learning. After reading Deep Learning on Windows, you will be able to design deep learning models and web applications on the Windows operating system. What You Will Learn Get deep learning tools working on Microsoft Windows Understand model visualization techniques, such as the built-in plot_model function of Keras and third-party visualization tools Build a robust training script Convert your deep learning model into a web application Generate handwritten digits with DCGAN (deep convolutional generative adversarial network) Understand the basics of reinforcement learning Who This Book Is For AI developers and enthusiasts wanting to work on the Windows platform.

Looks at how and where wine is made and how this affects its quality and pricing, including information on how the professionals taste and rate wine and a country-by-country tour of the latest vintages.

This revised and updated second edition focuses on new risks, threats, and vulnerabilities associated with the Microsoft Windows operating system. Particular emphasis is placed on Windows XP, Vista, and 7 on the desktop, and Windows Server 2003 and 2008 versions. It highlights how to use tools and techniques to decrease risks arising from vulnerabilities in Microsoft Windows operating systems and applications. The book also includes a resource for readers desiring more information on Microsoft Windows OS hardening, application security, and incident management. Topics covered include: the Microsoft Windows Threat Landscape; Microsoft Windows security features; managing security in Microsoft Windows; hardening Microsoft Windows operating systems and applications; and security trends for Microsoft Windows computers