2 milioane de exemplare v?ndute Transform?-?i locuin?a ?ntr-un spa?iu ordonat ?i permanent curat cu incredibila metod? KonMari, aplic?nd trei principii de baz?: simplific?, organizeaz? ?i depoziteaz?. Pentru a reu?i s?-?i ordonezi locuin?a, trebuie s?-?i organizezi ac?iunile ?ntr-o succesiune corect?, s? p?strezi numai obiectele care-?i sunt cu adev?rat dragi ?i s? faci totul dintr-odat? ?i repede. Dup? aceea, pentru tot restul vie?ii, nu va mai fi nevoie dec?t s? alegi ce s? p?strezi ?i ce s? arunci. Metoda KonMari nu ??i va transforma doar spa?iul de locuit. Dup? ce ai f?cut ordine ?n cas?, vei constata c? ?ntreaga ta via?? se va schimba. Vei c?p?ta mai mult? ?ncredere ?n tine, succesul te va ?nso?i, vei avea mai mult? energie ?i te vei sim?i mai motivat s? duci via?a pe care ?i-o dore?ti. De asemenea, vei dob?ndi curajul s? la?i ?n urm? aspectele negative ale vie?ii tale: vei recunoa?te o rela?ie care-?i face r?u ?i ?i vei pune cap?t; anxietatea te va p?r?si ?i, ?n sf?r?it, vei sc?dea ?n greutate. ?Kondo ne provoac? s? ne ?ntreb?m dac? obiectele care ne ?nconjoar? servesc unui scop. Ne fac s? avans?m ?n via?? sau ne ?in ata?a?i de trecut?“ – USA Today

Adam ?i Eva este un roman scris de Liviu Rebreanu ?n anul 1925. Este un roman de dragoste mai aparte. Romanul are drept tem? principal? credin?a ?n re?ncarnare, metempsihoza. Cuplul arhetipal ?i androginic se caut? ?i se re?ntrege?te ?n ?apte perioade istorice foarte diferite. Personajul principal, Toma Novac, trece prin mai multe vie?i, este pe r?nd p?stor ?n India, guvernator ?n Egipt, scrib ?n Babilon, cavaler roman ?n Roma ?n epoca domniei ?mp?ratului Tiberiu, c?lug?r ?n Germania medieval?, medic ?n Fran?a revolu?iei franceze, ?i ?n fine profesor universitar la Bucure?ti. El se ?ndr?goste?te pe r?nd de 7 personaje feminine diferite: de Navamalika, Isit, Hamma, Servilla, Maria, Yvonne, ?i de Ileana.

This file includes: The Ethics, On the Improvement of the Understanding, and A Theologico-Political Treatise (all four parts). According to Wikipedia: "Baruch or Benedict de Spinoza (November 24, 1632 – February 21, 1677) was a Dutch philosopher of Portuguese Jewish origin. Revealing considerable scientific aptitude, the breadth and importance of Spinoza's work was not fully realized until years after his death. Today, he is considered one of the great rationalists of 17th-century philosophy, laying the groundwork for the 18th century Enlightenment and modern biblical criticism. By virtue of his magnum opus, the posthumous Ethics, in which he opposed Descartes' mind–body dualism, Spinoza is considered to be one of Western philosophy's most important philosophers. Philosopher and historian Georg Wilhelm Friedrich Hegel said of all modern philosophers, "You are either a Spinozist or not a philosopher at all." All of Spinoza's works were listed on the Index Librorum Prohibitorum (List of Prohibited Books) by the Roman Catholic Church. Spinoza lived quietly as a lens grinder, turning down rewards and honors throughout his life, including prestigious teaching positions, and gave his family inheritance to his sister."

Mommsen's history of the Roman Republic in five volumes. These volumes cover from the founding of Rome up to the disintegration of the First Triumvirate (Caesar, Pompey, Crassus). The author cites dates in the Roman style, AUC, from the founding of the city in 753 BC. A table at the end shows modern-day equivalents. According to Wikipedia, Mommsen is "generally regarded as the greatest classicist of the 19th century." This work complements Gibbon's "Decline and Fall of the Roman Empire".

Work of spiritualism by the author of Sherlock Holmes. According to the Preface: "In "The New Revelation" the first dawn of the coming change has been described. In "The Vital Message" the sun has risen higher, and one sees more clearly and broadly what our new relations with the Unseen may be. As I look into the future of the human race I am reminded of how once, from amid the bleak chaos of rock and snow at the head of an Alpine pass, I looked down upon the far stretching view of Lombardy, shimmering in the sunshine and extending in one splendid panorama of blue lakes and green rolling hills until it melted into the golden haze which draped the far horizon. Such a promised land is at our very feet which, when we attain it, will make our present civilisation seem barren and uncouth. Already our vanguard is well over the pass. Nothing can now prevent us from reaching that wonderful land which stretches so clearly before those eyes which are opened to see it."

According to Wikipedia: "General Sir John Miller Adye GCB (1 November 1819 – 26 August 1900) was a British general and amateur artist." According to the Preface: "The subject of our policy on the North-West frontier of India is one of great importance, as affecting the general welfare of our Eastern Empire, and is specially interesting at the present time, when military operations on a considerable scale are being conducted against a combination of the independent tribes along the frontier. It must be understood that the present condition of affairs is no mere sudden outbreak on the part of our turbulent neighbours. Its causes lie far deeper, and are the consequences of events in bygone years."

Account of the Boer War, first published in 1902. According to Wikipedia: "Sir Arthur Ignatius Conan Doyle (22 May 1859 – 7 July 1930) was a Scottish physician and writer who is most noted for his fictional stories about the detective Sherlock Holmes, which are generally considered milestones in the field of crime fiction. He is also known for writing the fictional adventures of a second character he invented, Professor Challenger, and for popularising the mystery of the Mary Celeste. He was a prolific writer whose other works include fantasy and science fiction stories, plays, romances, poetry, non-fiction, and historical novels.

For centuries people have been tormented by one question above all – ‘If God is good and all-powerful, why does he allow his creatures to suffer pain?’ And what of the suffering of animals, who neither deserve pain nor can be improved by it? The greatest Christian thinker of our time sets out to disentangle this knotty issue. With his signature wealth of compassion and insight, C.S. Lewis offers answers to these crucial questions and shares his hope and wisdom to help heal a world hungry for a true understanding of human nature.

Falcons have been a source of inspiration to writers, artists, historians and naturalists alike. In a much-anticipated volume on one of Britain’s most fascinating group of birds, Richard Sale draws on a wealth of experience and research, providing a comprehensive natural history of the four British breeding falcons. The book takes each of the four breeding species in turn (Kestrel, Merlin, Hobby and Peregrine Falcon), exploring its form, habitat, breeding biology and status, along with a chapter on the hunting techniques of each species.

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.

When Lord Templeton is sent for by Sir James Redwell, the British Under Secretary of State for Foreign Affairs, he knows that there is trouble somewhere in the world and because he is so successful at dealing with international problems he realises that there is a new mission for him. The problem this time is in Siam and its adjoining country Khmer and he agrees to try to find out if it is true as the Siamese think that the French have their eyes on Khmer. Lord Templeton agrees to go, but Sir James tells him that there is a further problem in that both the King of Siam and the King of Khmer are anxious to marry an English woman so that they have a greater call on the British and can proudly fly the Union Jack. Sir James suggests to Lord Templeton that he would be absolutely safe if he takes his lovely niece, Amina, with him pretending to be his wife. Lord Templeton is not very keen on this as he is pressure from his family to preserve his title and estate and anyway he has sworn never to marry until he is much older. However Sir James presses him to take his niece for the simple reason that she has been brought up by her father as a boy and hates the idea of marrying anyone. Amina is dressed in beautiful clothes for the journey and reluctantly begins to feel a little more feminine. Finally they set off and are treated warmly in Siam but there is danger and death waiting for them in Khmer. How Amina visits the esoteric green Buddha in Bankok and is given an important message that will change her life. And how, after a devastating encounter in a cave in Khmer, she unexpectedly finds the love of her life is all told in this exciting story by BARBARA CARTLAND.

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.

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.

Explore the big data field and learn how to perform data analytics and predictive modelling in STATAAbout This BookVisualize and analyse data in STATA to devise a business strategyLearn STATA programming and predictive modelingDiscover how you can become a data scientist with the power of STATA Who This Book Is For This book is for all the professionals and students who want to learn STATA programming and apply predictive modelling concepts. This book is also very helpful for experienced STATA programmers as it provides advanced statistical modelling concepts and their application.What You Will LearnPerform important statistical tests to become a STATA data scientistBe guided through how to program in STATAImplement logistic and linear regression modelsVisualize and program the data in STATAAnalyse survey data, time series data, and survival dataPerform database management in STATA In Detail STATA is an integrated software package that provides you with everything you need for data analysis, data management, and graphics. STATA also provides you with a platform to efficiently perform simulation, regression analysis (linear and multiple) [and custom programming. This book covers data management, graphs visualization, and programming in STATA. Starting with an introduction to STATA and data analytics you’ll move on to STATA programming and data management. Next, the book takes you through data visualization and all the important statistical tests in STATA. Linear and logistic regression in STATA is also covered. As you progress through the book, you will explore a few analyses, including the survey analysis, time series analysis, and survival analysis in STATA. You’ll also discover different types of statistical modelling techniques and learn how to implement these techniques in STATA.Style and approach This book is a hands-onguide to STATA programming and statistical modelling providing many STATA code examples and taking. You through the working of the code in detail.

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.

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