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."

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

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.

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.

Exploit the power of dynamic cloud formation and auto-scaling features to fully implement OpenStack orchestrationAbout This BookSet up, manage, and troubleshoot Heat and effectively automate your datacenter and cloud-based servicesAchieve high availability, minimize down-time, and automate the deployment of cloud-based services and resources with minimum effortUpgrade your skills and manipulate resources on virtual machines in an unattended fashion using Heat Who This Book Is For If you are a System Engineer, System Administrator, Cloud Administrator, or a Cloud Engineer, then this book is for you. You should have a background of working in a Linux-based setup. Any knowledge of OpenStack-based cloud infrastructure will help you create wonders using this book.What You Will LearnInstall an orchestration service for a private cloud environmentTackle errors that show up during the installation and configuration of heatConfigure a template for orchestration using the native HOT formatConfigure a template for orchestration using the AWS cloud formation formatDeploy a stack using the HOT templateDeploy a test stack using the AWS CloudFormation templateAutomate and orchestrate cloud-based services with OpenStack Heat In Detail This book is focused on setting up and using one of the most important services in OpenStack orchestration, Heat. First, the book introduces you to the orchestration service for OpenStack to help you understand the uses of the templating mechanism, complex control groups of cloud resources, and huge-potential and multiple-use cases. We then move on to the topology and orchestration specification for cloud applications and standards, before introducing the most popular IaaS cloud framework, Heat. You will get to grips with the standards used in Heat, overview and roadmap, architecture and CLI, heat API, heat engine, CloudWatch API, scaling principles, JeOS and installation and configuration of Heat. We wrap up by giving you some insights into troubleshooting for OpenStack. With easy-to-follow, step-by-step instructions and supporting images, you will be able to manage OpenStack operations by implementing the orchestration services of Heat.Style and approach The book is a step-by-step guide to implementing an orchestration (cloud formation) service for OpenStack-based cloud environments. This book uses real-world scenarios and examples to demonstrate the procedures in an easy-to-understand language with plenty of screenshots to help you get a better understanding.

A hands-on guide to building an enterprise-grade, scalable RESTful web service using the Spring FrameworkAbout This BookFollow best practices and explore techniques such as clustering and caching to achieve a scalable web serviceLeverage the Spring Framework to quickly implement RESTful endpointsLearn to implement a client library for a RESTful web service using the Spring Framework Who This Book Is For This book is intended for those who want to learn to build RESTful web services with the Spring Framework. To make best use of the code samples included in the book, you should have a basic knowledge of the Java language. Previous experience with the Spring Framework would also help you get up and running quickly.What You Will LearnDeep dive into the principles behind RESTExpose CRUD operations through RESTful endpoints with the Spring FrameworkDevise response formats and error handling strategies, offering a consistent and flexible structure to simplify integration for service consumersFollow the best approaches for dealing with a service’s evolution while maintaining backward compatibilityUnderstand techniques to secure web servicesComply with the best ways to test RESTful web services, including tips for load testingOptimise and scale web services using techniques such as caching and clustering In Detail REST is an architectural style that tackles the challenges of building scalable web services. In today’s connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become synonymous with APIs. The depth, breadth, and ease of use of Spring makes it one of the most attractive frameworks in the Java ecosystem. Marrying the two technologies is therefore a very natural choice. This book takes you through the design of RESTful web services and leverages the Spring Framework to implement these services. Starting from the basics of the philosophy behind REST, you’ll go through the steps of designing and implementing an enterprise-grade RESTful web service. Taking a practical approach, each chapter provides code samples that you can apply to your own circumstances. This book goes beyond the use of Spring and explores approaches to tackle resilience, security, and scalability concerns. You’ll learn techniques to deal with security in Spring and discover how to implement unit and integration test strategies. Finally, the book ends by walking you through building a Java client for your RESTful web service, along with some scaling techniques for it.Style and approach This book is a step-by-step, hands-on guide to designing and building RESTful web services. The book follows the natural cycle of developing these services and includes multiple code samples to help you.

Earth is our Business takes forward the argument of Polly Higgins’ first book, Eradicating Ecocide. This book proposes new Earth law, but it is also about something more than law: it advocates a new form of leadership which places the health and well-being of people and planet first. Polly Higgins shows how law can provide the tools and be a bridge to a new way of doing business. She argues, in fact, that Earth is the business of us all, not the exclusive preserve of the executives of the world’s top corporations. Expanding on the proposal in her first book to make Ecocide an international crime, this book sets out the institutional framework for sustainable development and international environmental governance. It proposes new rules of the game to transform our economies, energy supplies and political landscape in a radical, but practical, way. The implications of Polly Higgins’ proposal are far-reaching and profound. Like her award-winning first book, Earth is our Business is written for anyone who is engaging in the new and emerging discourse about the future of our planet and sustainable development. Instead of merely examining the problem, Earth is our Business sets out a solution: new rules of the game. They are, says Polly Higgins, a new set of laws based on the sacredness of all life. Included as appendices are a draft Ecocide Act, a proposal for revising World Bank investment rules, and the indictment used in the mock Ecocide Trial held in the UK Supreme Court in September 2011.

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.

Harness the power of OpenStack Networking for public and private clouds using 90 hands-on recipesAbout This BookBuild and manage virtual switching, routing, and firewall-based networks in OpenStack using NeutronDevelop plugins and drivers for Neutron to enhance the built-in networking capabilitiesMonitor and automate OpenStack networks using tools like Ceilometer and Heat Who This Book Is For This book is aimed at network and system administrators who want to deploy and manage OpenStack-based cloud and IT infrastructure. If you have basic knowledge of OpenStack and virtualization, this book will help you leverage the rich functionality of OpenStack Networking in your cloud deployments.What You Will LearnOperate OpenStack Networking for public and private cloudsConfigure advanced routing services for your workloadsSecure data traffic using firewall-as-a-service capabilities of OpenStackDiscover how to leverage VXLAN to implement SDN in your OpenStack cloudMonitor the virtual networks using CeilometerDevelop plugins to enhance and customize OpenStack NetworkingProvide HA and VPN connectivity for your virtual machinesTroubleshoot and solve common problems with OpenStack Networking In Detail Networking in OpenStack has evolved from Nova Network to Neutron. This has resulted in a rich suite of networking services available to OpenStack users and administrators. Advanced services such as routers, firewall, and load balancers use building blocks such as network and subnets. Recent improvements support powerful customization using plugins. The evolution of Neutron continues as it integrates with tools like Ceilometer and Heat. This book will explore the built-in capabilities of Neutron to effectively deploy cloud solutions. You will begin with the most fundamental constructs of OpenStack Networking for switching and routing. You will then learn how to provide your tenants with services like firewalls and load-balancers. The step-by-step recipes will help you configure and troubleshoot networking problems in your cloud. This book will also introduce you to advanced topics like Ceilometer, Heat, and other upcoming tools in OpenStackStyle and approach The book is full of step-by-step recipes to configure and manage the networking aspects of your OpenStack cloud. In addition to covering basic configuration involved in OpenStack Networking, the books also shares various troubleshooting tips and techniques. As much as possible the book uses OpenStack dashboard (Horizon) to help the user get a feel of real OpenStack Networking

Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use informationAbout This BookCreate formulas to help you analyze and explain findingsDevelop interactive spreadsheets that will impress your audience and give them the ability to slice and dice dataA step-by-step guide to learn various ways to model data for businesses with the help of Excel 2013 Who This Book Is For If you want to start using Excel 2013 for data analysis and business modeling and enhance your skills in the data analysis life cycle then this book is for you, whether you’re new to Excel or experienced.What You Will LearnDiscover what Excel formulas are all about and how to use them in your spreadsheet developmentIdentify bad data and learn cleaning strategiesCreate interactive spreadsheets that engage and appeal to your audienceLeverage Excel’s powerful built-in tools to get the median, maximum, and minimum values of your dataBuild impressive tables and combine datasets using Excel’s built-in functionalityLearn the powerful *ing language VBA, allowing you to implement your own custom solutions with ease In Detail Excel 2013 is one of the easiest to use data analysis tools you will ever come across. Its simplicity and powerful features has made it the go to tool for all your data needs. Complex operations with Excel, such as creating charts and graphs, visualization, and analyzing data make it a great tool for managers, data scientists, financial data analysts, and those who work closely with data. Learning data analysis and will help you bring your data skills to the next level. This book starts by walking you through creating your own data and bringing data into Excel from various sources. You’ll learn the basics of SQL syntax and how to connect it to a Microsoft SQL Server Database using Excel’s data connection tools. You will discover how to spot bad data and strategies to clean that data to make it useful to you. Next, you'll learn to create custom columns, identify key metrics, and make decisions based on business rules. You’ll create macros using VBA and use Excel 2013’s shiny new macros. Finally, at the end of the book, you'll be provided with useful shortcuts and tips, enabling you to do efficient data analysis and business modeling with Excel 2013.Style and approach This is a step-by-step guide to performing data analysis and business modelling with Excel 2013, complete with examples and tips.

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.

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.

The Teaching of Reality is, as far as we know, the first translation into English of Tattvopade?a, a work attributed to the great spiritual teacher ?ankara. The text reveals the full significance of the great sentence ‘You are That’ (tat twam asi), which is said to convey the essence of the entire teaching of the Upanishads and to be the key to Advaita, the philosophy of non-duality. The reader is led through a systematic process enabling the real Self to be realised in practice.

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.

Prince Liam. Prince Frederic. Prince Duncan. Prince Gustav. You’ve never heard of them, have youThese are the princes who saved Sleeping Beauty, Cinderella, Snow White, and Rapunzel, respectively, and yet, thanks to those lousy bards who wrote the tales, you likely know them only as Prince Charming. But all of this is about to change. Rejected by their princesses and cast out of their castles, the princes stumble upon an evil plot that could endanger each of their kingdoms. Now it up to them to triumph over their various shortcomings, take on trolls, bandits, dragons, witches, and other assorted terrors, and become the heroes no one ever thought they could be. Christopher Healy Hero Guide to Saving Your Kingdom is a completely original take on the world of fairy tales, the truth about what happens after “happily ever after.” It a must-have for middle grade readers who enjoy their fantasy adventures mixed with the humor of the Diary of a Wimpy Kid books. Witty black-and-white drawings by Todd Harris add to the fun.

Beloved author C. S. Lewis is our trusted guide in this intimate day-by-day companion offering his distinctive and celebrated wisdom. Amidst the bustle of our daily experience, A Year with C. S. Lewis provides the necessary respite and inspiration to meet the many challenges we face in our lives. Ruminating on such themes as the nature of love, the existence of miracles, overcoming a devastating loss, and discovering a profound faith, Lewis offers unflinchingly honest insight for each day of the year. These daily meditations have been culled from Lewis's celebrated Signature Classics: Mere Christianity , The Screwtape Letters , The Great Divorce , The Problem of Pain , Miracles , and A Grief Observed , as well as from the distinguished works The Weight of Glory and The Abolition of Man. Throughout this elegant daybook the reader will find poignant biographical com-mentary about C. S. Lewis's life that offers a remarkable portrait of Lewis in the context of his work. As each day unfolds, we embark on a path of discovery with a friend by your side. A Year with C. S. Lewis is the perfect com-panion for everyone who cherishes Lewis's timeless words.

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