The ultimate troubleshooting guide for clear, concise, and real-world solutions to a wide range of common Citrix XenDesktop problemsAbout This BookExplore the XenDesktop architecture and work with various troubleshooting tools that every Citrix admin should know aboutDiscover how to troubleshoot performance, VDA registration, and NetScaler integration issuesA fast-paced troubleshooting guide to help you identify and resolve any kind of problem you might face while working with Citrix XenDesktop Who This Book Is For Troubleshooting Citrix XenDesktop is targeted at Citrix Administrators or Citrix Engineers who are working on Xendesktop and want to learn tips and techniques required to deal with the issues they face in their day-to-day life. A working knowledge of core elements and concepts of Xendesktop would be an added advantage.What You Will LearnSolve VDA registration problems and Citrix session launch difficultiesIdentify and resolve XenDesktop service issuesTroubleshoot performance issues related to the XenDesktop architectureWork around common printing issuesUnderstand the Citrix XenDesktop HDX policies and deal with the HDX MediaStream challengesResolve the common MCS and PVS configuration issues in your XenDesktop environmentFind solutions to some general issues that have been identified and recorded by Citrix in their database that every administrator must be aware of In Detail In today’s world, many organizations have decided to move to secure and stable VDI platforms to benefit their organization to meet their security needs. To meet an organization’s requirements, Citrix XenDesktop serves as the best desktop virtualization solution available, providing the optimum user experience. Troubleshooting Citrix XenDesktop is a single resource guide that will help you dig deep into all the technical issues you encounter to resolve them using an autonomous and well-defined approach. The book starts by walking you through the XenDesktop architecture and the troubleshooting toolkit for Citrix XenDesktop. The subsequent chapters will help you identify possible causes of various types of Citrix XenDesktop problems that may arise while installing, configuring, or troubleshooting day-to-day problems. You will also be dealing with the most common and important VDA registration problems that you might often face while working with the XenDesktop product suite. Additionally, you will resolve issues that arise while launching Citrix sessions, troubleshoot performance issues, and learn how to integrate Citrix NetScaler with your XenDesktop environment.Style and approach This book is an easy-to-follow troubleshooting guide with real-world examples of resolving XenDesktop issues. Each chapter is focused on a specific troubleshooting area, giving you the time to learn about and apply relevant tools and practices to troubleshoot the problems using a systematic approach.

Use game elements in Moodle courses to build learner resilience and motivationAbout This BookFormulate a Moodle course that acts as a flexible framework ready for your own contentKeep learners engrossed and create opportunities for motivation through the concepts of status, access, and powerA resourceful guide to innovative learning using automatic reports, assessments, and conditional release of activities Who This Book Is For This book has been designed for teachers who to use technology to create more engaging learning experiences for both online learning and in face-to-face sessions. This book will especially appeal to people who are interested in the underlying mechanics of play and games and want to know more about applying these concepts in an educational context. It is assumed that you are a teacher and expert in your field, have basic computer skills, and have access to the Internet.What You Will LearnSet up a scoring system using Moodle GradebookEnable communication and collaboration in your class as a Learning Community using forumsAssess your learners’ abilities by setting up challenges and questsConfigure gateways to check and ensure progress before new content or activities are releasedCreate Moodle assignments to provide effective feedback through a comment bank and custom scaleIssue Open Badges to recognize achievements and set up an online backpack to share digital badgesReduce anxiety for learners by using the game-like concept of “Levelling Up” In Detail This book describes how teachers can use Gamification design within the Moodle Learning Management System. Game elements can be included in course design by using, badges, rubrics, custom grading scales, forums, and conditional activities. Moodle courses do not have to be solo-learning experiences that replicate Distance Education models. The Gamification design process starts by profiling players and creating levels of achievement towards meeting learning outcomes. Each task is defined, valued, and sequenced. Motivation loops are devised to keep the momentum going. In a gaming studio, this approach would require a team of specialists with a large budget and time frames. Preparing for a class rarely has these optimal conditions. The approach used in this book is to introduce game elements into the course design gradually. First, apply gamification to just one lesson and then build up to gamifying a series of lessons over a term. Each example will indicate the difficulty level and time investment. Try it out to see what is most effective with your learners and choose wisely in your use of technology. By the end of this book, you will be able to create Moodle courses that incorporate choice, communication, challenge, and creativity.Style and approach An easy-to-follow guide full of screenshots and step-by-step instructions with estimated time frames required to accomplish numerous tasks. Tips are offered for new Moodlers and plugin extensions are suggested for advanced Moodlers. The focus of the book is on why you would want to use each activity rather than detailed technical de*ions.

Create robust and maintainable Java applications using the functional style of programmingAbout This BookExplore how you can blend object-oriented and functional programming styles in JavaUse lambda expressions to write flexible and succinct codeA tutorial that strengthens your fundamentals in functional programming techniques to enhance your applications Who This Book Is For If you are a Java developer with object-oriented experience and want to use a functional programming approach in your applications, then this book is for you. All you need to get started is familiarity with basic Java object-oriented programming concepts.What You Will LearnUse lambda expressions to simplyfy codeUse function composition to achieve code fluencyApply streams to simply implementations and achieve parallelismIncorporate recursion to support an application’s functionalityProvide more robust implementations using OptionalsImplement design patterns with less codeRefactor object-oriented code to create a functional solutionUse debugging and testing techniques specific to functional programs In Detail Functional programming is an increasingly popular technology that allows you to simplify many tasks that are often cumbersome and awkward using an object-oriented approach. It is important to understand this approach and know how and when to apply it. Functional programming requires a different mindset, but once mastered it can be very rewarding. This book simplifies the learning process as a problem is described followed by its implementation using an object-oriented approach and then a solution is provided using appropriate functional programming techniques. Writing succinct and maintainable code is facilitated by many functional programming techniques including lambda expressions and streams. In this book, you will see numerous examples of how these techniques can be applied starting with an introduction to lambda expressions. Next, you will see how they can replace older approaches and be combined to achieve surprisingly elegant solutions to problems. This is followed by the investigation of related concepts such as the Optional class and monads, which offer an additional approach to handle problems. Design patterns have been instrumental in solving common problems. You will learn how these are enhanced with functional techniques. To transition from an object-oriented approach to a functional one, it is useful to have IDE support. IDE tools to refactor, debug, and test functional programs are demonstrated through the chapters. The end of the book brings together many of these functional programming techniques to create a more comprehensive application. You will find this book a very useful resource to learn and apply functional programming techniques in Java.Style and approach In this tutorial, each chapter starts with an introduction to the terms and concepts covered in that chapter. It quickly progresses to contrast an object-oriented approach with a functional approach using numerous code examples.

Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipesAbout This BookImplement Scala in your data analysis using features from Spark, Breeze, and ZeppelinScale up your data anlytics infrastructure with practical recipes for Scala machine learningRecipes for every stage of the data analysis process, from reading and collecting data to distributed analytics Who This Book Is For This book shows data scientists and analysts how to leverage their existing knowledge of Scala for quality and scalable data analysis.What You Will LearnFamiliarize and set up the Breeze and Spark libraries and use data structuresImport data from a host of possible sources and create dataframes from CSVClean, validate and transform data using Scala to pre-process numerical and string dataIntegrate quintessential machine learning algorithms using Scala stackBundle and scale up Spark jobs by deploying them into a variety of cluster managersRun streaming and graph analytics in Spark to visualize data, enabling exploratory analysis In Detail This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits. Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you’ll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX.Style and approach This book contains a rich set of recipes that covers the full spectrum of interesting data analysis tasks and will help you revolutionize your data analysis skills using Scala and Spark.

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problemsAbout This BookUnderstand the principles of Bayesian Inference with less mathematical equationsLearn state-of-the art Machine Learning methodsFamiliarize yourself with the recent advances in Deep Learning and Big Data frameworks with this step-by-step guide Who This Book Is For This book is for statisticians, analysts, and data scientists who want to build a Bayes-based system with R and implement it in their day-to-day models and projects. It is mainly intended for Data Scientists and Software Engineers who are involved in the development of Advanced Analytics applications. To understand this book, it would be useful if you have basic knowledge of probability theory and analytics and some familiarity with the programming language R.What You Will LearnSet up the R environmentCreate a classification model to predict and explore discrete variablesGet acquainted with Probability Theory to analyze random eventsBuild Linear Regression modelsUse Bayesian networks to infer the probability distribution of decision variables in a problemModel a problem using Bayesian Linear Regression approach with the R package BLRUse Bayesian Logistic Regression model to classify numerical dataPerform Bayesian Inference on massively large data sets using the MapReduce programs in R and Cloud computing In Detail Bayesian Inference provides a unified framework to deal with all sorts of uncertainties when learning patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models is not easy for data science practitioners due to the level of mathematical treatment involved. Also, applying Bayesian methods to real-world problems requires high computational resources. With the recent advances in computation and several open sources packages available in R, Bayesian modeling has become more feasible to use for practical applications today. Therefore, it would be advantageous for all data scientists and engineers to understand Bayesian methods and apply them in their projects to achieve better results. Learning Bayesian Models with R starts by giving you a comprehensive coverage of the Bayesian Machine Learning models and the R packages that implement them. It begins with an introduction to the fundamentals of probability theory and R programming for those who are new to the subject. Then the book covers some of the important machine learning methods, both supervised and unsupervised learning, implemented using Bayesian Inference and R. Every chapter begins with a theoretical de*ion of the method explained in a very simple manner. Then, relevant R packages are discussed and some illustrations using data sets from the UCI Machine Learning repository are given. Each chapter ends with some simple exercises for you to get hands-on experience of the concepts and R packages discussed in the chapter. The last chapters are devoted to the latest development in the field, specifically Deep Learning, which uses a class of Neural Network models that are currently at the frontier of Artificial Intelligence. The book concludes with the application of Bayesian methods on Big Data using the Hadoop and Spark frameworks.Style and approach The book first gives you a theoretical de*ion of the Bayesian models in simple language, followed by details of its implementation in the R package. Each chapter has illustrations for the use of Bayesian model and the corresponding R package, using data sets from the UCI Machine Learning repository. Each chapter also contains sufficient exercises for you to get more hands-on practice.

Accelerate your code writing skills with over twenty programming patterns that will make your code easier to maintain and scaleAbout This BookOptimize your web application for production useBuild views and controllers with minimal effort that will evolve with your applicationLearn how to maintain a MeteorJS project while it is running in production Who This Book Is For This book is for developers who have already had an introductory course with Meteor. Basic knowledge of web development is recommended.What You Will LearnUse of Jade, Stylus, and CoffeeScript to speed up web developmentIncrease productivity by leveraging the best packages in the communityOptimize your site for load speed with advanced publishers and subscribersLeverage the aggregation framework to produce results with big dataMaster the intricacies of front-end development using Jeet, Bootstrap, CSS animations, and moreOptimize your site for search engine visibilitySecure your site with Meteor’s best practicesTrack the live status of your application, ensuring all errors have been taken care of In Detail With the increasing interest in NodeJS web applications, a new framework, Meteor, has joined the ranks to simplify developer workflows. Meteor is one of the few open source frameworks that has received funding since its early development stages. It builds on ideas from existing frameworks and libraries, offering developers an easy way to develop a prototype app. At the same time, it gives them the tools and flexibility to build a fully fledged production app. Meteor is the weapon of choice for start-ups in today’s world. Meteor Design Patterns cuts through the jargon that most websites play with and gets to the point with simple solutions that will boost your development skills. We start off with a refresher on the basics of JavaScript programming such as templates, CoffeeScript, the Event Loop, and the Merge Box, amongst others. You then learn how to map real-world data and optimize the data’s publishers to output data with the least amount of work done by the server with some subscribe and publish patterns. Next, using front-end patterns, you will learn how to create maintainable and trackable forms, and make our site crawlable by any search engine. Following this, you will see how to optimize and secure the web application and maintain applications without breaking other features. Finally, you will learn how to deploy a secure production-ready application while learning to set up modulus, compose with Oplog tracking and SSL certificates, as well as error tracking with Kadira. Throughout the book, you will put your skills to practice and build an online shop from scratch. By the end of the book, you will have built a feature-rich online shop.Style and approach The book is a practical handbook on how to build an e-commerce web app using Meteor. Every topic ties into the webapp to easily illustrate the concepts that you are learning about.

Generate effective results in a variety of visually appealing charts using the plotting packages in PythonAbout This BookExplore various tools and their strengths while building meaningful representations that can make it easier to understand dataPacked with computational methods and algorithms in diverse fields of scienceWritten in an easy-to-follow categorical style, this book discusses some niche techniques that will make your code easier to work with and reuse Who This Book Is For If you are a Python developer who performs data visualization and wants to develop existing knowledge about Python to build analytical results and produce some amazing visual display, then this book is for you. A basic knowledge level and understanding of Python libraries is assumed.What You Will LearnGather, cleanse, access, and map data to a visual frameworkRecognize which visualization method is applicable and learn best practices for data visualizationGet acquainted with reader-driven narratives and author-driven narratives and the principles of perceptionUnderstand why Python is an effective tool to be used for numerical computation much like MATLAB, and explore some interesting data structures that come with itExplore with various visualization choices how Python can be very useful in computation in the field of finance and statisticsGet to know why Python is the second choice after Java, and is used frequently in the field of machine learningCompare Python with other visualization approaches using Julia and a JavaScript-based framework such as D3.jsDiscover how Python can be used in conjunction with NoSQL such as Hive to produce results efficiently in a distributed environment In Detail Python has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the research into diverse domains including economics, finance, biological sciences, social science, health care, and many more. The variety of tools and approaches available within Python community is stunning, and can bolster and enhance visual story experiences. This book offers practical guidance to help you on the journey to effective data visualization. Commencing with a chapter on the data framework, which explains the transformation of data into information and eventually knowledge, this book subsequently covers the complete visualization process using the most popular Python libraries with working examples. You will learn the usage of Numpy, Scipy, IPython, MatPlotLib, Pandas, Patsy, and Scikit-Learn with a focus on generating results that can be visualized in many different ways. Further chapters are aimed at not only showing advanced techniques such as interactive plotting; numerical, graphical linear, and non-linear regression; clustering and classification, but also in helping you understand the aesthetics and best practices of data visualization. The book concludes with interesting examples such as social networks, directed graph examples in real-life, data structures appropriate for these problems, and network analysis. By the end of this book, you will be able to effectively solve a broad set of data analysis problems.Style and approach The approach of this book is not step by step, but rather categorical. The categories are based on fields such as bioinformatics, statistical and machine learning, financial computation, and linear algebra. This approach is beneficial for the community in many different fields of work and also helps you learn how one approach can make sense across many fields

Master the skills and techniques that are required to design, deploy, and administer real Linux-based networksAbout This BookMaster the art of using Linux and administering network services for enterprise environmentsPerform hands-on activities to reinforce expert-level knowledgeGet full coverage of both the CentOS and Debian systems, including how networking concepts differ for each Who This Book Is For Mastering Linux Network Administration is recommended for those who already understand the basics of using Linux and networking, and would like to push those skills to a higher level through real-world Linux networking scenarios. Whether you intend to run a home office consisting of Linux nodes or a rollout of a Linux network within your organization, this book is a great fit for those that desire to learn how to manage networked systems with the power of Linux.What You Will LearnInstall and configure the Debian and CentOS systemsSet up and configure file serversAdminister networked nodes remotelyDiscover how to monitor system performance for peak healthConfigure network services such as DNS and DHCPHost HTTP content via ApacheTroubleshoot Linux networking issues In Detail Linux is everywhere. Whether you run a home office, a small business, or manage enterprise systems, Linux can empower your network to perform at its very best. Armed with the advanced tools and best practice guidance of this practical guide, you'll be able to mold Linux networks to your will, empowering your systems and their users to take advantage of all that Linux-based networks have to offer. Understand how Linux networks function and get to grips with essential tips and tricks to manage them - whether you're already managing a networks, or even just starting out. With Debian and CentOS as its source, this book will divulge all the details you need to manage a real Linux-based network. With detailed activities and instructions based on real-world scenarios, this book will be your guide to the exciting world of Linux networking.Style and approach This practical guide will walk you through all the core concepts required to manage real Linux-based networks.

Over 90 recipes to help you build and run automated tests for your web applications with Selenium WebDriverAbout This BookLearn to leverage the power of Selenium WebDriver with simple examples that illustrate real-world problems and their workaroundsExplains the testing of mobile applications with Appium for mobile platforms such as iOS and AndroidA pragmatic manual with engaging recipes and attractive screenshots to test your web applications efficiently Who This Book Is For This book is intended for software quality assurance/testing professionals, software project managers, or software developers with prior experience in using Selenium and Java to test web-based applications. This books also provides examples for C#, Python and Ruby users.What You Will LearnUnderstand how the locators work and use various locator methods to build reliable testsBuild reliable and maintainable tests with the Selenium WebDriver APIUse the PageFactory pattern to build a robust and easy to maintain test frameworkBuild data-driven tests and extend Selenium API to implement custom steps and checksIntegrate and use ATDD/BDD tools such as Cucumber, SpecFlow, Capybara, and Behave with the Selenium WebDriver APISet up iPhone/iPad and Android simulators and devices to test your mobile web application with AppiumSet up Selenium Grid for faster and parallel running of tests, increasing test coverage and reducing test execution time for cross-browser testingBuild extended Selenium WebDriver tests for additional coverage In Detail This book is an incremental guide that will help you learn and use the advanced features of the Selenium toolset including the WebDriver API in various situations to build a reliable test automation. You start off by setting up the test development environment and gain tips on the advanced locater strategy and the effective use of the Selenium WebDriver API. After that, the use of design patterns such as data - driven tests and PageFactory are demonstrated. You will then be familiarised with extending Selenium WebDriver API by implementing custom tasks and setting up your own distributed environment to run tests in parallel for cross-browser testing. Finally, we give you some tips on integrating Selenium WebDriver with other popular tools and testing mobile applications. By the end of this book, you will have learned enough to solve complex testing issues on your own.Style and approach This recipe-based guide covers real-life scenarios of testing your web apps with Selenium. Each recipe begins with a short introduction and key concepts along with illustrated examples of use cases, and ends with detailed but informative de*ions of the inner workings of the example.

Build real-world, industry-strength data storage solutions with time-tested design methodologies using CassandraAbout This BookExplore design patterns which co-exist with legacy data stores, migration from RDBMS, and caching technologies with CassandraLearn about design patterns and use Cassandra to provide consistency, availability, and partition tolerance guarantees for applicationsHandle temporal data for analytical purposes Who This Book Is For This book is intended for big data developers who are familiar with the basics of Cassandra and wish to understand and utilize Cassandra design patterns to develop real-world big data solutions. Prior knowledge of RDBMS solutions is assumed.What You Will LearnEnable Cassandra to co-exist with RDBMS and other legacy data storesExplore various design patterns to build effective and robust storage solutionsMigrate from RDBMS-based data stores and caching solutions to CassandraUnderstand the behaviour of Cassandra when trying to balance the needs of consistency, availability, and partition toleranceDeal with time stamps related to data effectivelySee how Cassandra can be used in analytical use casesApply the design patterns covered in this book in real-world use cases In Detail There are many NoSQL data stores used by big data applications. Cassandra is one of the most widely used NoSQL data stores that is frequently used by a huge number of heavy duty Internet-scale applications. Unlike the RDBMS world, the NoSQL landscape is very diverse and there is no one way to model data stores. This mandates the need to have good solutions to commonly seen data store design problems. Cassandra addresses such common problems simply. If you are new to Cassandra but well-versed in RDBMS modeling and design, then it is natural to model data in the same way in Cassandra, resulting in poorly performing applications and losing the real purpose of Cassandra. If you want to learn to make the most of Cassandra, this book is for you. This book starts with strategies to integrate Cassandra with other legacy data stores and progresses to the ways in which a migration from RDBMS to Cassandra can be accomplished. The journey continues with ideas to migrate data from cache solutions to Cassandra. With this, the stage is set and the book moves on to some of the most commonly seen problems in applications when dealing with consistency, availability, and partition tolerance guarantees. Cassandra is exceptionally good at dealing with temporal data and patterns such as the time-series pattern and log pattern, which are covered next. Many NoSQL data stores fail miserably when a huge amount of data is read for analytical purposes, but Cassandra is different in this regard. Keeping analytical needs in mind, you’ll walk through different and interesting design patterns. No theoretical discussions are complete without a good set of use cases to which the knowledge gained can be applied, so the book concludes with a set of use cases you can apply the patterns you’ve learned.Style and approach This book is written in very simple language and an engaging style complete with examples in every chapter and real-world use cases at the end of the book.

The team behind the bestselling The Food52 Cookbook and the James Beard Award–winning website Food52.com are back. Powered by a thriving online community and edited by noted food writers Amanda Hesser and Merrill Stubbs, Food52.com spotlights the best recipes from talented home cooks all over the world. The Food52 Cookbook, Volume 2, features seventy-five of the latest community favorites, including:Late-Night Coffee-Brined Chicken Roasted Carrot Soup Herbed Beef Skewers with Horseradish Cream Kentucky Hot Toddy Burnt Caramel Pudding

Master machine learning techniques with R to deliver insights for complex projectsAbout This BookGet to grips with the application of Machine Learning methods using an extensive set of R packagesUnderstand the benefits and potential pitfalls of using machine learning methodsImplement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML system Who This Book Is For If you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful.What You Will LearnGain deep insights to learn the applications of machine learning tools to the industryManipulate data in R efficiently to prepare it for analysisMaster the skill of recognizing techniques for effective visualization of dataUnderstand why and how to create test and training data sets for analysisFamiliarize yourself with fundamental learning methods such as linear and logistic regressionComprehend advanced learning methods such as support vector machinesRealize why and how to apply unsupervised learning methods In Detail Machine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. The book starts with introduction to Cross-Industry Standard Process for Data Mining. It takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of “Unsupervised techniques”. Finally, the book will walk you through text analysis and time series. The book will deliver practical and real-world solutions to problems and variety of tasks such as complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build complex ML projects using R and its packages.Style and approach This is a book explains complicated concepts with easy to follow theory and real-world, practical applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints.

Over 90 practical and highly applicable recipes to successfully deploy various OpenStack configurations in productionAbout This BookGet a deep understanding of OpenStack’s internal structure and servicesLearn real-world examples on how to build and configure various production grade use cases for each of OpenStack's servicesUse a step-by-step approach to install and configure OpenStack’s services to provide Compute, Storage, and Networking as a services for cloud workloads Who This Book Is For If you have a basic understanding of Linux and Cloud computing and want to learn about configurations that OpenStack supports, this is the book for you. Knowledge of virtualization and managing Linux environments is expected. Prior knowledge or experience of OpenStack is not required, although beneficial.What You Will LearnPlan an installation of OpenStack with a basic configurationDeploy OpenStack in a highly available configurationConfigure Keystone Identity services with multiple types of identity backendsConfigure Glance Image Store with File, NFS, Swift, or Ceph image backends and use local image cachingDesign Cinder to use a single storage provider such as LVM, Ceph, and NFS backends, or to use multiple storage backends simultaneouslyManage and configure the OpenStack networking backendConfigure OpenStack's compute hypervisor and the instance scheduling mechanismBuild and customize the OpenStack dashboard In Detail OpenStack is the most popular open source cloud platform used by organizations building internal private clouds and by public cloud providers. OpenStack is designed in a fully distributed architecture to provide Infrastructure as a Service, allowing us to maintain a massively scalable cloud infrastructure. OpenStack is developed by a vibrant community of open source developers who come from the largest software companies in the world. The book provides a comprehensive and practical guide to the multiple uses cases and configurations that OpenStack supports. This book simplifies the learning process by guiding you through how to install OpenStack in a single controller configuration. The book goes deeper into deploying OpenStack in a highly available configuration. You’ll then configure Keystone Identity Services using LDAP, Active Directory, or the MySQL identity provider and configure a caching layer and SSL. After that, you will configure storage back-end providers for Glance and Cinder, which will include Ceph, NFS, Swift, and local storage. Then you will configure the Neutron networking service with provider network VLANs, and tenant network VXLAN and GRE. Also, you will configure Nova’s Hypervisor with KVM, and QEMU emulation, and you will configure Nova’s scheduler filters and weights. Finally, you will configure Horizon to use Apache HTTPD and SSL, and you will customize the dashboard’s appearance.Style and approach This book consists of clear, concise instructions coupled with practical and applicable recipes that will enable you to use and implement the latest features of OpenStack.

Sharpen your skills in Swift by designing and deploying seven fully functional applicationsAbout This BookDevelop a variety of iOS-compatible applications that range from health and fitness to utilities using this project-based handbookDiscover ways to make the best use of the latest features in Swift to build on a wide array of applicationsFollow step-by-step instructions to create Swift apps oriented for the real world Who This Book Is For If you are a competent iOS developer who wants to develop stunning applications with Swift, then this book is for you. Familiarity with Swift programming is assumed.What You Will LearnGet to grips with the basics of Xcode and Swift for application developmentCreate a Photo Sharing application to capture an image, edit it using different features and share it via social media.Develop applications using the WatchKit and exchange data between iPhone and the WatchUse advanced features such as SpriteKit to build a gameInstall third-party Swift frameworks to improvise on your application developmentDiscover how to simulate home automation with HomeKitBuild an application to monitor the user's weight, heart rate and the number of steps for Health Historic AnalysisManipulate media using AVFoundation framework to merge audio and video. In Detail In this book, you will work through seven different projects to get you hands-on with developing amazing applications for iOS devices. We start off with a project that teaches you how to build a utility app using Swift. Moving on, we cover the concepts behind developing an entertainment or social networking related application, for example, a small application that helps you to share images, audio, and video files from one device to another. You’ll also be guided through create a city information app with customized table views, a reminder app for the Apple Watch, and a game app using SpriteKit. By the end of this book, you will have the required skillset to develop various types of iOS applications with Swift that can run on different iOS devices. You will also be well versed with complex techniques that can be used to enhance the performance of your applications.Style and approach This book takes a step-by-step approach to help you build apps from scratch and learn the methodology to develop real-time applications using Swift.

Explore the Underscore.js library by example using a test-driven development approachAbout This BookUnderstand and learn to apply functional programming principles using the built-in functions of Underscore.jsLeverage and reuse Underscore.js-based code to create code that targets client, server, or database contextsTake Underscore.js further by reusing code between client and server and by learning about other closely related libraries Who This Book Is For If you are a developer with fundamental JavaScript knowledge and want to use modern JavaScript libraries to extend your functional programming skills, then Underscore.js is an important library you should be familiar with.What You Will LearnReference and call Underscore.js functions using a modern JavaScript development workflowApply Underscore.js to JavaScript arrays, objects, and functionsTake advantage of object-oriented or functional programming techniques with Underscore.jsLeverage Underscore.js to create code that targets client, server, or database contextsExtend Underscore.js functionality with other closely related librariesReuse Underscore.js-based code between client and server applicationsPrepare for the upcoming JavaScript standard ECMAScript 6 and support older browsers In Detail Underscore.js is one of the most popular modern JavaScript libraries used for functional programming. It can be used as a base for building complex JavaScript applications in a sustainable manner and for building other JavaScript libraries. It embraces functional programming principles but is not opinionated and can be used with imperative, object-oriented, functional, or other programming styles. This book explores how to use Underscore.js to power your code and understand modern JavaScript development concepts while applying a lightweight and efficient workflow to build applications. The book starts with an incremental Underscore.js introduction by exploring key JavaScript concepts. You will then explore the basic features of Underscore.js in action and establish a lightweight development workflow that allows the provided examples to be guided by tests. The book then covers the functionality of Underscore.js with in-depth examples and explanations for understanding and applying the Underscore.js API. You'll also learn how to use Underscore.js as a base for your own modules and libraries within an object-oriented or functional programming style, and will be able to explore Underscore.js use cases in different environments. Eventually, you'll learn about libraries that are closely related with Underscore.js, how to share code between client and server, and how to prepare for the upcoming JavaScript standard ECMAScript 6.Style and approach This book takes an example-driven approach to describing some of the essential JavaScript concepts and practices that are useful for building sustainable applications.

Called the Pilgrim Pope, a pope of the people, John Paul II connected with his flock from the highest to the lowest. He was one of history's most beloved popes among Catholics and non-Catholics alike, a man whose indomitable spirit touched and taught us all. A Year with John Paul II showcases his most important teachings as well as his inspirational writings, in a daily devotional format that will inspire readers and deepen their reflections and meditations. With a foreword by Cardinal William W. Baum, head of the Holy See's Major Penitentiary and former archbishop of Washington DC, an introduction by Bishop William Murphy, and a moving eulogy composed for the pope's funeral by Cardinal Joseph Ratzinger (now Pope Benedict XVI), A Year with John Paul II will take readers on a year-long spiritual journey with this deeply religious and inspiring man. Karol Wojyla was born on May 18, 1920, in Wadowice, Poland. He survived the Nazi occupation during World War II and was ordained to the priesthood in 1946. He was appointed archbishop of Krakow by Pope Paul VI. On October 16, 1978, he ascended to the papacy, taking the name John Paul II. During his papacy he greeted an estimated sixteen million pilgrims at the Vatican's general audiences. Pope John Paul II died in April 2005.

Edith Grossman's definitive English translation of the Spanish masterpiece. Widely regarded as the world's first modern novel, and one of the funniest and most tragic books ever written, Don Quixote chronicles the famous picaresque adventures of the noble knight-errant Don Quixote of La Mancha and his faithful squire, Sancho Panza, as they travel through sixteenth-century Spain. Unless you read Spanish, you've never read Don Quixote. "Though there have been many valuable English translations of Don Quixote, I would commend Edith Grossman's version for the extraordinarily high quality of her prose. The Knight and Sancho are so eloquently rendered by Grossman that the vitality of their characterization is more clearly conveyed than ever before. There is also an astonishing contextualization of Don Quixote and Sancho in Grossman's translation that I believe has not been achieved before. The spiritual atmosphere of a Spain already in steep decline can be felt throughout, thanks to her heightened quality of diction. Grossman might be called the Glenn Gould of translators, because she, too, articulates every note. Reading her amazing mode of finding equivalents in English for Cervantes's darkening vision is an entrance into a further understanding of why this great book contains within itself all the novels that have followed in its sublime wake." From the Introduction by Harold Bloom Miguel de Cervantes was born on September 29, 1547, in Alcala de Henares, Spain. At twenty-three he enlisted in the Spanish militia and in 1571 fought against the Turks in the battle of Lepanto, where a gunshot wound permanently crippled his left hand. He spent four more years at sea and then another five as a slave after being captured by Barbary pirates. Ransomed by his family, he returned to Madrid but his disability hampered him; it was in debtor's prison that he began to write Don Quixote. Cervantes wrote many other works, including poems and plays, but he remains best known as the author of Don Quixote. He died on April 23, 1616.

One of the most popular and beloved introductions to the concept of faith ever written, Mere Christianity has sold millions of copies worldwide. The book brings together C. S. Lewis legendary radio broadcasts during the war years, in which he set out simply to explain and defend the belief that has been common to nearly all Christians at all times. Rejecting the boundaries that divide Christianity many denominations, Mere Christianity provides an unequalled opportunity for believers and nonbelievers alike to absorb a powerful, rational case for the Christian faith.

A milestone in the history of popular theology, The Screwtape Letters is an iconic classic on spiritual warfare and the dynamics of temptation. This profound and striking narrative takes the form of a series of letters from Screwtape, a devil high in the Infernal Civil Service, to his nephew Wormwood, a junior colleague engaged in his first mission on earth, trying to secure the damnation of a young man who has just become a Christian. Although the young man initially looks to be a willing victim, he changes his ways and is "lost" to the young devil. Dedicated to Lewis's friend and colleague J. R. R. Tolkien, The Screwtape Letters is a timeless classic on spiritual conflict and the psychology of temptation which are part of our religious experience.

Both astonishing and prophetic, The Abolition of Man remains one of C. S. Lewis's most controversial works. Lewis sets out to persuade his audience of the ongoing importance and relevance of universal objective values, such as courage and honor, and the foundational necessity of natural law. He also makes a cogent case that a retreat from these pillars of our educational system, even if in the name of "scientism," would be catastrophic. National Review lists it as number seven on their "100 Best Nonfiction Books of the Twentieth Century."

How to Live as Jesus Lived Dallas Willard, one of today's most brilliant Christian thinkers and author of The Divine Conspiracy (Christianity Today's 1999 Book of the Year), presents a way of living that enables ordinary men and women to enjoy the fruit of the Christian life. He reveals how the key to self-transformation resides in the practice of the spiritual disciplines, and how their practice affirms human life to the fullest. The Spirit of the Disciplines is for everyone who strives to be a disciple of Jesus in thought and action as well as intention.