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

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.

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.

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.

Make use of Node.js to learn the development of a simple yet scalable cross-platform mobile applicationAbout This BookUse Node.js to satisfy the core backend requirements of modern apps, including user management, security, data access, and real-time data communicationBuild practical real-world mobile applications, which will give you the necessary knowledge to build your very own mobile solutionsStep-by-step development of projects using Ionic Framework as the frontend and Node.js for the backend supported by a MongoDB database Who This Book Is For This book is intended for web developers of all levels of expertise who want to deep dive into cross-platform mobile application development without going through the pains of understanding the languages and native frameworks that form an integral part of developing for different mobile platforms. This book is also for you if you are a developer who wants to capitalize on the MobileFirst strategy and so are going to use JavaScript for your complete stack.What You Will LearnDevelop an API from scratchSet up a MongoDB Database as part of your mobile application backendDeploy a cross-platform mobile application from the command lineIncorporate features within your mobile application that use native phone features such as a gyroscope, GPS, and accelerometerImplement mobile applications that use web-enabled APIsBuild a mobile application with real-time chat messaging featuresDevelop a secure mobile application that is capable of functioning with real-time data In Detail Node.js is a massively popular JavaScript library that lets you use JavaScript to easily program scalable network applications and web services. People approaching Node.js for the first time are often attracted by its efficiency, scalability, and the fact that it's based on JavaScript, the language of the Web, which means that developers can use the same language to write backend code. Also, it’s increasingly being seen as a "modern" replacement for PHP in web development, which relies on fast-paced data exchange. The growing community and the large amount of available modules makes Node.js one of the most attractive development environments. This book takes a step-wise and incremental approach toward developing cross-platform mobile technologies using existing web technologies. This will allow you to truly understand and become proficient in developing cross-platform mobile applications with Node.js, Ionic Framework, and MongoDB. The book starts off by introducing all the necessary requirements and knowledge to build a mobile application with a companion web service. It covers the ability to create an API from scratch and implement a comprehensive user database that will give you the opportunity to offer a mobile application with a personalized experience. Midway through the book, you will learn the basic processes to create a successful mobile application. You will also gain higher-level knowledge, allowing you to develop a functional and secure mobile application to ensure a seamless user experience for end users. Finally, the book ends with more advanced projects, which will bring together all the knowledge and expertise developed in the previous chapters to create a practical and functional mobile-application that has useful real-world features.Style and approach This book is an easy-to-follow guide that takes a step-wise approach in giving expertise and knowledge to help you truly understand what is needed to create a memorable user experience for end users. Each topic is placed in the context of the bigger picture, that is, to create cross-platform mobile applications using existing technologies.

Use PyCharm with fluid efficiency to write idiomatic python codeAbout This BookUnderstand how PyCharm works and how you can leverage its strength to develop applications quicklyMaster PyCharm’s editor to get a fast workflowFull of examples and illustrations that focus on the practical aspects of using PyCharm Who This Book Is For If you know PyCharm but want to understand it better and leverage its more powerful but less obvious tool set, this is the book for you. Serving as a launch pad for those who want to master PyCharm and completely harness its best features, it would be helpful if you were familiar with some of Python’s most prominent tools such as virtualenv and Python’s popular docstring formats such as reStructuredText and EpyType.What You Will LearnUnderstand the internal workings of the IntelliJ PlatformLeverage PyCharm’s powerful search tools, and learn which ones are the best for you and your workflowCustomize PyCharm’s enhanced Python interpreter and its inbuilt terminalDevelop web applications quickly and easily with different frameworks such as Flask and DjangoUnderstand how code completion works in PyCharm for Python and JavaScript In Detail PyCharm is addictive, with powerful and configurable code completion, superb editing tools, top-notch support, diverse plugins, and a vibrant ecosystem to boot. Learning how PyCharm works and maximising the synergy of its powerful tools will help you to rapidly develop applications. From leveraging the power of the editor to understanding PyCharm's internals, this book will give you a comprehensive view of PyCharm and allow you to make your own choices about which workflow and tools are best for you. You will start by getting comfortable with PyCharm and making it look exactly like you want. You can customize the tools and taskbars to suit individual developers' coding styles. You also learn how to assign keyboard shortcuts. You will master debugging by inserting breakpoints, collecting runtime data, and debugging from the console. You will understand how PyCharm works underneath and how plugins such as Codemap, Vim, Bitbucket, Assets compressor, markdown, bash file, shortcut translator, and .gitignore leverage the power of the IntelliJ platform. You will become comfortable using the VCS interface in PyCharm and see the benefits of using it for some simple tasks as well as some more complex tasks such as partial commits using changelists. You will take an in-depth look at the various tools in PyCharm, improving your workflow drastically. Finally, you will deploy powerful PyCharm tools for Django, Flask, GAE, and Pyramid Development, becoming well acquainted with PyCharm’s toolset for web development with popular platforms. Packed with insider tricks, this book will help you boost productivity with PyCharm.Style and approach An easy-to-follow guide with plenty of examples and screenshots. Each topic starts off with the goal of enhancing or changing a part of PyCharm to make it suit your needs.

Due to copyright restrictions, this eBook may not contain all of the images available in the print edition. It was the summer Coltrane died, the summer of love and riots, and the summer when a chance encounter in Brooklyn led two young people on a path of art, devotion, and initiation. Patti Smith would evolve as a poet and performer, and Robert Mapplethorpe would direct his highly provocative style toward photography. Bound in innocence and enthusiasm, they traversed the city from Coney Island to Forty-second Street, and eventually to the celebrated round table of Max's Kansas City, where the Andy Warhol contingent held court. In 1969, the pair set up camp at the Hotel Chelsea and soon entered a community of the famous and infamous the influential artists of the day and the colorful fringe. It was a time of heightened awareness, when the worlds of poetry, rock and roll, art, and sexual politics were colliding and exploding. In this milieu, two kids made a pact to take care of each other. Scrappy, romantic, committed to create, and fueled by their mutual dreams and drives, they would prod and provide for one another during the hungry years. Just Kids begins as a love story and ends as an elegy. It serves as a salute to New York City during the late sixties and seventies and to its rich and poor, its hustlers and hellions. A true fable, it is a portrait of two young artists' ascent, a prelude to fame.

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.

Counted among his admirers are Jonas Salk, Aldous Huxley, David Hockney, and Van Morrison, along with countless other philosophers, artist, writers and students of the spiritual path. Now the trustees of Krishnamurti work have gathered his very best and most illuminating writings and talks to present in one volume the truly essential ideas of this great spiritual thinker.Total Freedom includes selections from Krishnamurti early works, his Commentaries on Living, and his discourses on life, the self, meditation, sex and love. These writings reveal Krishnamuri core teachings in their full eloquence and power: the nature of personal freedom; the mysteries of life and death; and the pathless land, the personal search for truth and peace. Warning readers away from blind obedience to creeds or teachers including himself Krishnamurti celebrated the individual quest for truth, and thus became on of the most influential guides for independent-minded seekers of the twentieth century and beyond.

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.

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.

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."

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.

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.

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.

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

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.