Hyper-V Best Practices. Equip yourselves with the real-world configurations and best practices of Hyper-V to take full advantage of its virtualization capabilities

Benedict Berger

Microsoft Silverlight 4 and SharePoint 2010 Integration. Techniques, practical tips, hints, and tricks for Silverlight interactions with SharePoint

Gaston C. Hillar

Silverlight is a powerful development platform for creating engaging, interactive user experiences for the Web, desktop, and mobile applications. Integrating Silverlight RIAs in SharePoint 2010 offers amazing opportunities to combine the power and flexibility offered by SharePoint. It is easy to create great user experiences when you have a step-by-step guide to implement Silverlight 4 applications on SharePoint 2010 sites.This book is not a primer on Silverlight 4 or SharePoint 2010. This book focuses on the integration of Silverlight 4 and SharePoint 2010 and provides step-by-step guidelines for implementing Silverlight RIAs in SharePoint. It is filled with real-world examples that depict the various techniques for interacting with data and services provided by this powerful business collaboration platform, for the enterprise and the Internet. As you sit reading this, you might have already started thinking about the benefits of implementing multiple Silverlight applications in a SharePoint environment. This book will help bring those thoughts to fruition.This book begins with the fundamental concepts of integrating Silverlight 4 with SharePoint 2010, such as the preparation of the development environment to create applications using Silverlight 4 and the addition of one or more Silverlight RIAs to a SharePoint site. Then, it moves on to the SharePoint Silverlight Client Object Model world, using step-by-step examples to combine a Silverlight application and a SharePoint module. It also covers methods to deploy and debug the Silverlight application while it runs as Silverlight Web Part in a SharePoint page. The book teaches you to take advantage of the new features offered by Visual Studio 2010 to browse SharePoint lists.Once the reader has control over the SharePoint Silverlight Client Object Model and its asynchronous operations in Silverlight applications, it is time to access external databases through the new Business Connectivity Services (BCS) and interact with workflows. Then, the book explains to perform CRUD operations by consuming the new SharePoint 2010 WCF Data Services in Silverlight. In the end, you'll learn to utilize Silverlight 4's rich media features to add effects and interactive animations to images and videos, thus offering the final touches to the Silverlight 4 and SharePoint 2010 integration learning experience.By the end of this book, you'll learn to take advantage of the unique features offered by Silverlight in order to create impressive UX that interact with SharePoint 2010.

Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning

Mark Ryan

fastai is an easy-to-use deep learning framework built on top of PyTorch that lets you rapidly create complete deep learning solutions with as few as 10 lines of code. Both predominant low-level deep learning frameworks, TensorFlow and PyTorch, require a lot of code, even for straightforward applications. In contrast, fastai handles the messy details for you and lets you focus on applying deep learning to actually solve problems.The book begins by summarizing the value of fastai and showing you how to create a simple 'hello world' deep learning application with fastai. You'll then learn how to use fastai for all four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data. As you advance, you'll work through a series of practical examples that illustrate how to create real-world applications of each type. Next, you'll learn how to deploy fastai models, including creating a simple web application that predicts what object is depicted in an image. The book wraps up with an overview of the advanced features of fastai.By the end of this fastai book, you'll be able to create your own deep learning applications using fastai. You'll also have learned how to use fastai to prepare raw datasets, explore datasets, train deep learning models, and deploy trained models.

Managing Microsoft Hybrid Clouds. Benefit from hybrid cloud scenarios through this detailed guide to Microsoft Azure Infrastructure Services (IaaS)

Marcel van den Berg

OpenStack Cloud Security. Your OpenStack cloud storage contains all your vital computing resources and potentially sensitive data – secure it with this essential OpenStack tutorial

Fabio Alessandro Locati, Fabio A Locati (Duplicate)

Moodle 2 for Teaching 7-14 Year Olds Beginner's Guide. You need no special technical skills or previous Moodle experience to use the e-learning platform to create fantastic interactive teaching aids for pre-teen and early teenage students. This book takes you from A-Z in easy steps

Mary Cooch

Moodle is a very popular e-learning tool in universities and high schools. But what does it have to offer younger students who want a fun, interesting, interactive, and informative learning experience? Moodle empowers teachers to achieve all this and more and this book will show you how!Moodle 2 For Teaching 7-14 Year Olds will show complete beginners in Moodle with no technical background how to make the most of its features to enhance the learning and teaching of children aged around 7-14. The book focuses on the unique needs of young learners to create a fun, interesting, interactive, and informative learning environment your students will want to go to day after day.This is a practical book for teachers, written by a teacher with two decades of practical experience, latterly in using Moodle to motivate younger students. Learn how to put your lessons online in minutes; how to set creative homework that Moodle will mark for you and how to get your students working together to build up their knowledge. Throughout the book we will build a course from scratch, adaptable for ages 7 to 14, on Rivers and Flooding. You can adapt this to any topic, as Moodle lends itself to all subjects and ages.

Python: Penetration Testing for Developers. Execute effective tests to identify software vulnerabilities

Christopher Duffy, Mohit Raj, Cameron Buchanan, Andrew Mabbitt, ...

Cybercriminals are always one step ahead, when it comes to tools and techniques. This means you need to use the same tools and adopt the same mindset to properly secure your software. This course shows you how to do just that, demonstrating how effective Python can be for powerful pentesting that keeps your software safe. Comprising of three key modules, follow each one to push your Python and security skills to the next level.In the first module, we’ll show you how to get to grips with the fundamentals. This means you’ll quickly find out how to tackle some of the common challenges facing pentesters using custom Python tools designed specifically for your needs. You’ll also learn what tools to use and when, giving you complete confidence when deploying your pentester tools to combat any potential threat.In the next module you’ll begin hacking into the application layer. Covering everything from parameter tampering, DDoS, XXS and SQL injection, it will build on the knowledge and skills you learned in the first module to make you an even more fluent security expert.Finally in the third module, you’ll find more than 60 Python pentesting recipes. We think this will soon become your trusted resource for any pentesting situation.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Learning Penetration Testing with Python by Christopher Duffy? Python Penetration Testing Essentials by Mohit? Python Web Penetration Testing Cookbook by Cameron Buchanan,Terry Ip, Andrew Mabbitt, Benjamin May and Dave Mound

Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R

Michael Pawlus, Rodger Devine

Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming.This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You’ll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you’ll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems.By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms.