Nabi Ilyas alaihis salam adalah keturunan Nabi Harun Alaihis salam. Alalh mengutus Nabi Ilyas untuk menjadi pembimbing kaum yang berada di tepi timur sungai Yordan. Nabi Ilyas diutus untuk memperingatkan bangsa Israel. Sejak dahulu hingga sekarang, bangsa Israel memang susah diatur. Oleh karena itu, sepanjang sejarah, banyak diutus para nabi kepada bangsa ini. Namun, bila nabinya telah meninggal dunia, perlahan-lahan ajaran yang ditinggalkan terkikis habis oleh kemaksiatan. Di saat itu, ketika Nabi Ilyas diturunkan, orang-orang Bani Israel terkenal dengan kebiasaan menyembah berhala. Berhala itu bernama Ba'al. Karena penyembahan Ba'al di tengah kota, maka kota itu dinamakan Ba'labak. Nabi Ilyas menyampaikan dakwahnya kepada dakwahnya kepada Bani Israel. Ia tak bosan-bosannya menyeru, memberi peringatan kepada mereka, namun mereka sama sekali tak menghiraukan. Mereka meremehkan kedatangan Ilyas, manakala memberi peringatan. Bahkan tak segan menghina dan mengejek Ilyas yang dianggapnya bersikap aneh itu. Meskipun demikian, Ilyas dengan senang hati ikhlas tak bosan-bosannya mencegah keburukan dan mengajak kepada kebaikan……

Tiada habisnya orang-orang kafir mengzalimi Rasulullah SAW. Mulai dari memfitnah hingga menyuruh Rasul melakukan sesuatu yang menurut mereka hal yang mustahil, yaitu membelah bulan. Namun, dengan izin Allah SWT, Rasulullah SAW dapat melaluinya dengan sabar. Jumlah orang-orang mukmin terus bertambah seiring berjalannya waktu. Sementara itu, orang-orang jahat tidak juga menghentikan kekejaman mereka. Mereka bahkan terus menantang Rasulullah SAW. Pada suatu hari, orang-orang kafir kembali mengelilingi Rasulullah SAW. Mereka punya rencana baru untuk menyudutkan beliau. Mereka meminta Rasul SAW melakukan sesuatu yang menurut mereka mustahil untuk dilakukan. Nanti saat melihat beliau tidak bisa melakukannya, mereka akan mengolok-olok beliau. Dengan pemikiran seperti itu, mereka berkata, "Kalau engkau memang seorang nabi, tunjukkan mukjizat kepada kamu. Misalnya, belahlah bulan purnama di atas kepala kita menjadi dua. Letakkan yang sebelah di atas gunung ini dan sebelah lagi di atas gunung itu," kata orang-orang kafir. "Kalau aku dapat melakukannya apakah kalian akan percaya padaku?" tanya Rasul SAW, merekapun menjawab ya…….

The Enchiridion or Manual of Epictetus is a guide on Stoic philosophy and ethical advice compiled by Arrian, a 2nd-century disciple of the Greek philosopher Epictetus. The book has played a disproportionately large role in the rise of modern attitudes and modern philosophy. Montaigne had a copy of the Enchiridion among his books. Frederick the Great carried the book with him on all campaigns. It was a source of inspiration and encouragement to Anthony, Earl of Shaftesbury, in the serious illness which ended only in his death; many pages of his diaries contain passages copied from the Enchiridion. It has been studied and widely quoted by Scottish philosophers like Francis Hutcheson, Adam Smith, and Adam Ferguson who valued Stoic moral philosophy for its reconciliation of social dependency and personal independence.

The Discourses are a series of extracts of the teachings of the Stoic philosopher Epictetus written down by Arrian c. 108 AD. It is a guide for the advanced student of Stoicism to show him the best roads toward the goal of becoming a true philosopher.

Every systematic science, the humblest and the noblest alike, seems to admit of two distinct kinds of proficiency; one of which may be properly called scientific knowledge of the subject, while the other is a kind of educational acquaintance with it. For an educated man should be able to form a fair off-hand judgement as to the goodness or badness of the method used by a professor in his exposition. To be educated is in fact to be able to do this; and even the man of universal education we deem to be such in virtue of his having this ability.

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.

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.

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.

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.

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

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

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

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

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.

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.

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.

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

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.