Back to Life is a feel-good approach to overcoming that lets you try on the skills of the heroes you most admire. From icons of survival like Rosa Parks and Nelson Mandela to contemporary heroes like Michael J. Fox and Elizabeth Edwards, this book allows you to see what resilient survivors actually do when they feel lousy.This is a revolutionary approach to feeling better, rooted in the science of positive psychology and resilience theory, and would help anyone get a dose of soul food into their emotional diet; but these techniques are specially tailored to those trying to overcome traumas big and small from Big-T Traumas, such as combat, abuse, and bereavement, to challenges one might think of as little-t traumas, like breakups, betrayals, job loss, health problems, and financial hardships. After years of working in the trenches of psychiatry, it became clear to Dr. Alicia Salzer that we needed some new methods to help people overcome, since the old methods often proved too painful for many to bear. It's all about being in the present and focusing on the future no retelling and revisiting the past, no opening Pandora's box, no picking at old scabs. Back to Life is a creative and empowering way to learn the habits of resilient survivors while getting to know what you stand for, what makes you happy, and what emotions you need in your diet in order to thrive. In this book you will create a "holistic pillbox" of ten stones each symbolizing a healthy new way of coping that you can utilize when your past rears its head.The truth is, there have always been people in our midst who remain positive and passionate despite enormous challenges while others just get stuck. This is the secret playbook of those people, and it's full of accessible and fun exercises to help you try on the rose-colored glasses of those survivors we so admire.

Putting the Pieces Back TogetherStep One: I Do Love MyselfStep Two: I Know What I WantStep Three: My Family Is Still WholeStep Four: I Can Choose Who I AmFour simple steps. A world of truth. At last, a source of compassion and support for divorced mothers facing the realities of raising children when their lives are at their most vulnerable and their self-images at their most fragile. Filled with more than a book on coping -- it is a source of understanding, encouragement, and strength that will help single women to nurture their children, resurrect their spirits, and create the life they want.

Alexandra Stoddard, world famous interior decorator, author and lecturer, originally opened the eyes of millions to the beauty and grace of simplicity in her phenomenal bestseller Living a Beautiful Life and the books that followed. Now, in Making Choices, she teaches us to widen our horizons by helping us feel the pleasure, satifaction, and joy of creative decision making and self-reliance and to discover our inner being, our own destiny, the lifestyle that is ours, and the art of living in the light of self-expression and fulfillment.

The authors of Christmas Miracles deliver true stories that show just how enduring a mother's remarkable love can be.

The author of the critically acclaimed, award winning Weetzie Bat books offers a compelling celebration of the first year of her child's life. Guarding the Moon chronicles the joys and terrors of motherhood, from the early stages of the author's pregnancy through her baby's first birthday. This unique but far reaching story makes for a gem of a book.

"The Bible and the social and moral consequences that derive from its interpretation are all too important to be left in the hands of the pious or the experts, and too significant to be ignored and trivialized by the uninformed and indifferent.

Billboard hits come and go, but once in a blue moon a song comes along that captures people's hearts and stands the test of time. Country / Pop sensation LeAnn Rimes' "What I Cannot Change" released to radio in August 2008 and immediately topped the charts. The song's simple message of peace and acceptance speaks to people from all walks of life: I will learn to let go what I cannot change I will learn to forgive what I cannot change I will learn to love what I cannot change But I will change, I will change Whatever I, whenever I can The book WHAT I CANNOT CHANGE is an elegant counterpart to the song that will include an introduction by Rimes, lyrics, interior photographs, stories from people who have experienced their own journeys of change, and an accompanying CD. With a charming 6 x 6 format, this special book will make a wonderful gift-not only for Rimes' enormous and devoted fan base, but also for casual admirers of this deeply inspiring song.

It has become common knowledge that childhood obesity rates are increasing every year. But the rates continue to rise. And between busy work schedules and the inconvenient truth that kids simply refuse to eat vegetables and other healthy foods, how can average parents ensure their kids are getting the proper nutrition and avoiding bad eating habitsAs a mother of three, Jessica Seinfeld can speak for all parents who struggle to feed their kids right and deal nightly with dinnertime fiascos. As she wages a personal war against sugars, packaged foods, and other nutritional saboteurs, she offers appetizing alternatives for parents who find themselves succumbing to the fastest and easiest (and least healthy) choices available to them. Her modus operandiHer book is filled with traditional recipes that kids love, except they're stealthily packed with veggies hidden in them so kids don't even know! With the help of a nutritionist and a professional chef, Seinfeld has developed a month's worth of meals for kids of all ages that includes, for example, pureed cauliflower in mac and cheese, and kale in spaghetti and meatballs. She also provides revealing and humorous personal anecdotes, tear out shopping guides to help parents zoom through the supermarket, and tips on how to deal with the kid that "must have" the latest sugar bomb cereal. But this book also contains much more than recipes and tips. By solving problems on a practical level for parents, Seinfeld addresses the big picture issues that surround childhood obesity and its long term (and ruinous) effects on the body. With the help of a prominent nutritionist, her book provides parents with an arsenal of information related to kids' nutrition so parents understand why it's important to throw in a little avocado puree into their quesadillas. She discusses the critical importance of portion size, and the specific elements kids simply must have (as opposed to adults) in order to flourish now and in the future: protein, calcium, vitamins, and Omega 3 and 6 fats. Jessica Seinfeld's book is practical, easy to read, and a godsend for any parent that wants their kids to be healthy for a long time to come.

Join Brad on his wild ride as he transforms from a small-town boy into a big-time Hollywood fashionistaFans know Brad Goreski as the fun-loving, bow-tie-wearing celebrity stylist. They have watched the reality star climb his way through the ranks of the fashion world, as he transformed himself from an assistant stylist into a full-fledged style icon. Along the way, they have experienced his near-fashion disasters and red-carpet victories.But what they might not know is that Brad's first clients were his Barbie dolls or that he grew up in a small town far removed from the glitz of Hollywood. His love of glamour, sparkles, and costume jewelry set him apart from the other boys at school. In spite of this, he embraced his differences and followed his passion. Landing an internship and later a job at Vogue helped the young Brad break into the competitive fashion world and eventually capture the hearts of millions as the quirky and endearing assistant on The Rachel Zoe Project.Now, for the first time ever, Brad reveals the moving story of his road to success, and offers a glimpse into his world today, filled with insider access to the countless red carpets and awards shows he has worked across the globe. Of course, Brad also shares his fashion advice, style tips, and tricks to help you look your best. Part style guide, part memoir, and full of inspiration, Born to Be Brad will delight both loyal fans and newcomers alike.

From the beloved teacher of spiritual wisdom and author of the phenomenal New York Times and international bestseller The Four Agreements comes a profound new spiritual masterwork. Don Miguel Ruiz has been lauded the world over for his deep integrity, insight, and wisdom. Now in The Toltec Art of Life and Death he takes readers on a mystical personal journey, introducing us to an even greater level of spiritual teaching and awareness.In 2002, Don Miguel Ruiz suffered a near-fatal heart attack that left him in a coma on the verge of death for nine weeks. The journey he undertook while suspended between this world and the next forms the heart of this autobiographical novel, a profound and mystical tale of spiritual struggle. As his body lies unconscious, Ruiz travels in his dreams and encounters the people, ideas, and events that have shaped him, illuminating the eternal struggle between life unending energy and truth and death matter and subjective knowledge in which we are all called to engage. The Toltec Art of Life and Death invites readers into the mind of a master seeker, offering an unparalleled and intimate glimpse into the development of a soul. In this culmination of a lifetime's learning, Ruiz shares with readers the innermost workings of his singular heart and mind, summoning us to grapple with timeless insights drawn from ancient Toltec wisdom that are the essence of transformation and freedom.

NEW YORK TIMES BESTSELLERIn the tradition of Paul Tough's How Children Succeed and Wendy Mogel's The Blessing of a Skinned Knee, this groundbreaking manifesto focuses on the critical school years when parents must learn to allow their children to experience the disappointment and frustration that occur from life's inevitable problems so that they can grow up to be successful, resilient, and self-reliant adults. Modern parenting is defined by an unprecedented level of overprotectiveness: parents who rush to school at the whim of a phone call to deliver forgotten assignments, who challenge teachers on report-card disappointments, mastermind children's friendships, and interfere on the playing field. As teacher and writer Jessica Lahey explains, even though these parents see themselves as being highly responsive to their children's well-being, they aren't giving them the chance to experience failure - or the opportunity to learn to solve their own problems. Overparenting has the potential to ruin a child's confidence and undermine their education, Lahey reminds us. Teachers don't just teach reading, writing, and arithmetic. They teach responsibility, organization, manners, restraint, and foresight - important life skills children carry with them long after they leave the classroom. Providing a path toward solutions, Lahey lays out a blueprint with targeted advice for handling homework, report cards, social dynamics, and sports. Most importantly, she sets forth a plan to help parents learn to step back and embrace their children's failures. Hard-hitting yet warm and wise, The Gift of Failure is essential for parents, educators, and psychologists nationwide who want to help children succeed.

The author of the phenomenal bestsellers He and She discusses the importance of regaining the feminine dimension in our lives. According to Johnson, regaining the power of feminine feeling and value is critical to the development of human peace and consciousness.

The science of Taste Training will take your kids from "yuck" to "yum!" Teach your kids to eat, just as you teach them to read Mealtimes with kids are often a battleground, with parents trying to force one more bite and kids resisting and protesting. But it doesn't need to be this way. Getting to YUM guides parents in teaching their children—whether babies, toddlers, or big kids—to enjoy eating all kinds of foods. Tested by families across North America, this new taste-training method prevents and cures picky eating while putting the fun back into food! This fun, easy-to-use book includes: The seven secrets of successful taste training. Fun games and experiments based on hands-on education and the latest scientific research. 85 healthy, easy, tasty recipes for babies, toddlers, young children, teenagers—and even adults! A unique flavor ladder approach that teaches kids to love eating a wide range of foods. Real-life success stories from families who have used these techniques to train good eaters for life!

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.

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

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.

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.