Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the WebAbout This BookUse Shiny's built-in functions to produce engaging user interfaces, and integrate them into your own web pagesImplement powerful user-contributed packages to access graphics from the web, make your own dashboards, use interactive maps, and moreExtend Shiny using JavaScript and jQuery with minimal coding using this handy, step-by-step guideWho This Book Is ForThis book is for anybody who wants to produce interactive data summaries over the web, whether you want to share them with a few colleagues or the whole world. No previous experience with R, Shiny, HTML, or CSS is required to begin using this book, although you should possess some previous experience with programming in a different language.What You Will LearnBuild interactive applications using Shiny's built-in widgetsUse the built-in layout functions in Shiny to produce user-friendly applicationsIntegrate Shiny applications with web pages and customize them using HTML and CSSHarness the power of JavaScript and jQuery to customize your applicationsEngage your users and build better analytics using interactive plotsDebug your applications using Shiny's built-in functionsDeliver simple and powerful analytics across your organization using Shiny dashboardsShare your applications with colleagues or over the Internet using cloud services or your own serverIn DetailR is a highly flexible and powerful tool for analyzing and visualizing data. Most of the applications built using various libraries with R are desktop-based. But what if you want to go on the webHere comes Shiny to your rescue!Shiny allows you to create interactive web applications using the excellent analytical and graphical capabilities of R. This book will guide you through basic data management and analysis with R through your first Shiny application, and then show you how to integrate Shiny applications with your own web pages. Finally, you will learn how to finely control the inputs and outputs of your application, along with using other packages to build state-of-the-art applications, including dashboards.Style and approachLearn by doing! Each chapter includes code and examples to use and adapt for your own applications. As the chapters progress, the code and examples are built upon until you have all the materials required to build a large, complex, real-world analytics application.

Leverage the power of Scala with different tools to build scalable, robust data science applicationsAbout This BookA complete guide for scalable data science solutions, from data ingestion to data visualizationDeploy horizontally scalable data processing pipelines and take advantage of web frameworks to build engaging visualizationsBuild functional, type-safe routines to interact with relational and NoSQL databases with the help of tutorials and examples providedWho This Book Is ForIf you are a Scala developer or data scientist, or if you want to enter the field of data science, then this book will give you all the tools you need to implement data science solutions.What You Will LearnTransform and filter tabular data to extract features for machine learningImplement your own algorithms or take advantage of MLLib’s extensive suite of models to build distributed machine learning pipelinesRead, transform, and write data to both SQL and NoSQL databases in a functional mannerWrite robust routines to query web APIsRead data from web APIs such as the GitHub or Twitter APIUse Scala to interact with MongoDB, which offers high performance and helps to store large data sets with uncertain query requirementsCreate Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizationsDeploy scalable parallel applications using Apache Spark, loading data from HDFS or HiveIn DetailScala is a multi-paradigm programming language (it supports both object-oriented and functional programming) and *ing language used to build applications for the JVM. Languages such as R, Python, Java, and so on are mostly used for data science. It is particularly good at analyzing large sets of data without any significant impact on performance and thus Scala is being adopted by many developers and data scientists. Data scientists might be aware that building applications that are truly scalable is hard. Scala, with its powerful functional libraries for interacting with databases and building scalable frameworks will give you the tools to construct robust data pipelines.This book will introduce you to the libraries for ingesting, storing, manipulating, processing, and visualizing data in Scala.Packed with real-world examples and interesting data sets, this book will teach you to ingest data from flat files and web APIs and store it in a SQL or NoSQL database. It will show you how to design scalable architectures to process and modelling your data, starting from simple concurrency constructs such as parallel collections and futures, through to actor systems and Apache Spark. As well as Scala’s emphasis on functional structures and immutability, you will learn how to use the right parallel construct for the job at hand, minimizing development time without compromising scalability. Finally, you will learn how to build beautiful interactive visualizations using web frameworks.This book gives tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed with building data science and data engineering solutions.Style and approachA tutorial with complete examples, this book will give you the tools to start building useful data engineering and data science solutions straightaway

Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guideAbout This BookNew to ElasticSearchHere’s what you need—a highly practical guide that gives you a quick start with ElasticSearch using easy-to-follow examples; get up and running with ElasticSearch APIs in no timeGet the latest guide on ElasticSearch 2.0.0, which contains concise and adequate information on handling all the issues a developer needs to know while handling data in bulk with search relevancyLearn to create large-scale ElasticSearch clusters using best practicesLearn from our experts—written by Bharvi Dixit who has extensive experience in working with search servers (especially ElasticSearch)Who This Book Is ForAnyone who wants to build efficient search and analytics applications can choose this book. This book is also beneficial for skilled developers, especially ones experienced with Lucene or Solr, who now want to learn Elasticsearch quickly.What You Will LearnGet to know about advanced Elasticsearch concepts and its REST APIsWrite CRUD operations and other search functionalities using the ElasticSearch Python and Java clientsDig into wide range of queries and find out how to use them correctlyDesign schema and mappings with built-in and custom analyzersExcel in data modeling concepts and query optimizationMaster document relationships and geospatial dataBuild analytics using aggregationsSetup and scale Elasticsearch clusters using best practicesLearn to take data backups and secure Elasticsearch clustersIn DetailWith constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store.This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.Style and approachThis is an easy-to-follow guide with practical examples and clear explanations of the concepts. This fast-paced book believes in providing very rich content focusing majorly on practical implementation. This book will provide you with step-by-step practical examples, letting you know about the common errors and solutions along with ample screenshots and code to ensure your success.

Learn Database design, development,and administration using the feature-rich SQL Developer 4.1 interfaceAbout This BookExplore all the SQL Developer 4.1 features useful for Oracle database developers, architects, and administratorsUnderstand how this free tool from Oracle has evolved over the years and has become a complete tool that makes life easy for Oracle and third-party database usersThe author, Ajith Narayanan, has a total of 10+ years of work experience as an Oracle [APPS] DBAWho This Book Is ForThis book is intended for Oracle developers who are responsible for database management. You are expected to have programming knowledge of SQL and PL/SQL, and must be familiar with basic Oracle database concepts.What You Will LearnInstall and navigate through all the advanced features of SQL Developer that were introduced in version 4.1Browse, create, edit, and delete (drop) database objectsUse the SQL worksheet to run SQL statements and *s, edit and debug PL/SQL code, manipulate and export (unload) dataCarry out all DBA-related activities such as exporting/importing, tuning, and analyzing database performance issuesQuickly analyze, create, and edit the data model using data modelerExtend the SQL developer capabilities by exploring the APEX related pages, enabling and working with RESTful servicesUse the available reports and create new custom reports with custom *sGrasp how to connect to third-party databases and work smoothly with themIn DetailAt times, DBAs support 100s of databases at work. In such scenarios, using a command-line tool like putty adds to the difficulty, while SQL Developer makes the life of a developer, DBA, or DB architect easier by providing a graphical user interface equipped with features that can bolster and enhance the user experience and boost efficiency. Features such as DBA panel, Reports, Data Modeler, and Data Miner are just a few examples of its rich features, and its support for APEX, REST Services, timesten, and third-party database drivers demonstrate its extensibility.You may be a newbie to databases or a seasoned database expert, either way this book will help you understand the database structure and the different types of objects that organize enterprise data in an efficient manner. This book introduces the features of the SQL Developer 4.1 tool in an incremental fashion, starting with installing them, making the database connections, and using the different panels. By sequentially walking through the steps in each chapter, you will quickly master SQL Developer 4.1.Style and approachThis book follows a step-by-step approach and is in a conversational and easy-to-follow style. Screenshots , and detailed explanations of the basic and advanced features of SQL Developer 4.1 that will make your work and life easy.

Build your first interactive map and build location-aware applications using cutting-edge examples in PythonAbout This BookLearn the full geo-processing workflow using Python with open source packagesCreate press-quality styled maps and data visualization with high-level and reusable codeProcess massive datasets efficiently using parallel processingWho This Book Is ForGeospatial Development By Example with Python is intended for beginners or advanced developers in Python who want to work with geographic data. The book is suitable for professional developers who are new to geospatial development, for hobbyists, or for data scientists who want to move into some simple development.What You Will LearnPrepare a development environment with all the tools needed for geo-processing with PythonImport point data and structure an application using Python’s resourcesCombine point data from multiple sources, creating intuitive and functional representations of geographic objectsFilter data by coordinates or attributes easily using pure PythonMake press-quality and replicable maps from any dataDownload, transform, and use remote sensing data in your mapsMake calculations to extract information from raster data and show the results on beautiful mapsHandle massive amounts of data with advanced processing techniquesProcess huge satellite images in an efficient wayOptimize geo-processing times with parallel processingIn DetailFrom Python programming good practices to the advanced use of analysis packages, this book teaches you how to write applications that will perform complex geoprocessing tasks that can be replicated and reused.Much more than simple *s, you will write functions to import data, create Python classes that represent your features, and learn how to combine and filter them.With pluggable mechanisms, you will learn how to visualize data and the results of analysis in beautiful maps that can be batch-generated and embedded into documents or web pages.Finally, you will learn how to consume and process an enormous amount of data very efficiently by using advanced tools and modern computers’ parallel processing capabilities.Style and approachThis easy-to-follow book is filled with hands-on examples that illustrate the construction of three sample applications of how to write reusable and interconnected Python code for geo-processing.

Create complex websites quickly and easily using the building blocks of Drupal 8, the most powerful version of Drupal yetAbout This BookBuild complete, complex websites with no prior knowledge of web development entirely using the intuitive Drupal user interfaceFollow a practical case study chapter-by-chapter to construct a complete website as you progressEnsure your sites are modern, responsive and mobile-friendly through utilizing the full features available in Drupal 8Who This Book Is ForIf you want to learn to use Drupal 8 for the first time, or you are transitioning over from a previous version of Drupal, this is the book for you. No knowledge of PHP, MySQL, or HTML is assumed or requiredWhat You Will LearnSet up a local “stack” development environment and install your first Drupal 8 siteFind out what is available in Drupal 8 coreDefine content types and taxonomies—and find out when you should do soUse the powerful Views moduleGet hands-on with image and media handlingExtend Drupal using custom community modulesDevelop the look and feel of your website using Drupal themesManage site users and permissionsIn DetailDrupal 8 sets a new standard for ease of use, while offering countless new ways to tailor and deploy your content to the Web. Drupal 8 allows user to easily customize data structures, listings, and pages, and take advantage of new capabilities for displaying data on mobile devices, building APIs, and adapting to multilingual needs.The book takes you step by step through building a Drupal 8 website. Start with the basics, such as setting up a local “stack” development environment and installing your first Drupal 8 site, then move on to image and media handling, and extending Drupal modules. Push your knowledge by getting to grips with the modular nature of Drupal, and learning to extend it by adding new functionalities to create your new modules. By the end of the book, you will be able to develop and manage a modern and responsive website using Drupal.Style and approachThis is an absolute beginners’ guide, providing step-by-step instructions to help you learn Drupal 8 from scratch.

Leverage the power of Python design patterns to solve real-world problems in software architecture and designAbout This BookUnderstand the structural, creational, and behavioral Python design patternsGet to know the context and application of design patterns to solve real-world problems in software architecture, design, and application developmentGet practical exposure through sample implementations in Python v3.5 for the design patterns featuredWho This Book Is ForThis book is for Software architects and Python application developers who are passionate about software design. It will be very useful to engineers with beginner level proficiency in Python and who love to work with Python 3.5What You Will LearnEnhance your skills to create better software architectureUnderstand proven solutions to commonly occurring design issuesExplore the design principles that form the basis of software design, such as loose coupling, the Hollywood principle and the Open Close principle among othersDelve into the object-oriented programming concepts and find out how they are used in software applicationsDevelop an understanding of Creational Design Patterns and the different object creation methods that help you solve issues in software developmentUse Structural Design Patterns and find out how objects and classes interact to build larger applicationsFocus on the interaction between objects with the command and observer patternsImprove the productivity and code base of your application using Python design patternsIn DetailWith the increasing focus on optimized software architecture and design it is important that software architects think about optimizations in object creation, code structure, and interaction between objects at the architecture or design level. This makes sure that the cost of software maintenance is low and code can be easily reused or is adaptable to change. The key to this is reusability and low maintenance in design patterns.Building on the success of the previous edition, Learning Python Design Patterns, Second Edition will help you implement real-world scenarios with Python’s latest release, Python v3.5.We start by introducing design patterns from the Python perspective. As you progress through the book, you will learn about Singleton patterns, Factory patterns, and Fa?ade patterns in detail. After this, we’ll look at how to control object access with proxy patterns. It also covers observer patterns, command patterns, and compound patterns.By the end of the book, you will have enhanced your professional abilities in software architecture, design, and development.Style and approachThis is an easy-to-follow guide to design patterns with hands-on examples of real-world scenarios and their implementation in Python v3.5. Each topic is explained and placed in context, and for the more inquisitive, there are more details on the concepts used.

Harness the power of DevOps to boost your skill set and make your IT organization perform betterAbout This BookGet to know the background of DevOps so you understand the collaboration between different aspects of an IT organization and a software developerImprove your organization's performance to ensure smooth production of software and servicesDeploy top-quality software and ensure software maintenance and release management with this practical guideWho This Book Is ForThis book is aimed at developers and system administrators who wish to take on larger responsibilities and understand how the infrastructure that builds today's enterprises works. This book is also great for operations personnel who would like to better support developers. You do not need to have any previous knowledge of DevOps.What You Will LearnAppreciate the merits of DevOps and continuous delivery and see how DevOps supports the agile processUnderstand how all the systems fit together to form a larger wholeSet up and familiarize yourself with all the tools you need to be efficient with DevOpsDesign an application that is suitable for continuous deployment systems with Devops in mindStore and manage your code effectively using different options such as Git, Gerrit, and GitlabConfigure a job to build a sample CRUD applicationTest the code using automated regression testing with Jenkins SeleniumDeploy your code using tools such as Puppet, Ansible, Palletops, Chef, and VagrantMonitor the health of your code with Nagios, Munin, and GraphiteExplore the workings of Trac—a tool used for issue trackingIn DetailDevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments. It stresses the cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations.After a quick refresher to DevOps and continuous delivery, we quickly move on to looking at how DevOps affects architecture. You'll create a sample enterprise Java application that you’ll continue to work with through the remaining chapters. Following this, we explore various code storage and build server options. You will then learn how to perform code testing with a few tools and deploy your test successfully. Next, you will learn how to monitor code for any anomalies and make sure it’s running properly. Finally, you will discover how to handle logs and keep track of the issues that affect processesStyle and approachThis book is primarily a technical guide to DevOps with practical examples suitable for people who like to learn by implementing concrete working code. It starts out with background information and gradually delves deeper into technical subjects.

Gain insights into Bitcoin, a cryptocurrency and a powerful technology, to optimize your Bitcoin mining techniquesAbout This BookLearn how to use the advanced features of Bitcoin walletsSet up your Bitcoin mining operations to mine with efficiencyExplore what the future holds for mining and blockchains in this pragmatic guideWho This Book Is ForIf you have never mined before, this book will ensure that you know what mining is all about. If you are familiar with Bitcoin mining, then it will help you to optimize your mining operations at a deeper level. A basic understanding of computers and operating systems is assumed, and some familiarity with cryptocurrency basics would be an added advantage.What You Will LearnGet introduced to Bitcoin mining from the ground upFind out about mining software and the different types of mining hardwareMaster setup techniques to enable efficient miningExamine the pros and cons of the different types of mining hardwareDeduce the differences between solo and pool miningTake a peek into professional mining farmsExplore the future of mining and blockchain-based applicationsIn DetailBlockchain is being billed as the technology of the future. Bitcoin is the first application of that technology. Mining is what makes it all possible. Exploring mining from a practical perspective will help you make informed decisions about your mining setup. Understanding what the future may hold for blockchains, and therefore for mining, will help you position yourself to take advantage of the impending changes.This practical guide starts with an introduction to Bitcoin wallets, as well as mining hardware and software. You will move on to learn about different mining techniques using the CPU, GPU, FPGA, and ultimately the ASIC as an example. After this, you will gain an insight into solo mining and pool mining, and see the differences between the two. The book will then walk you through large-scale mining and the challenges faced during such operations. Finally, you will take a look into the future to see a world where blockchain-based applications are commonplace and mining is ubiquitous.Style and approachThis is a practical guide that includes detailed step-by-step instructions and examples on each essential concept of Bitcoin mining.

Arm yourself with over 65 hands-on recipes to master the skills of building scalable web applications with Ember.jsAbout This BookThis book is your one-stop solution to the key features of Ember.js. Become skilled in the art of building web-apps in a fraction of the code you'd write in other frameworks.Build JavaScript apps that don't break the web! Our 100 recipes will make this a cakewalk for you!This books makes learning Ember.js easy by breaking down each topic into simple-to-understand recipesWho This Book Is ForAnyone who wants to explore Ember.js and wishes to get hands on making sophisticated web apps with less coding will find this book handy. Prior experience in Coding and familiarity with JavaScript is recommended. If you’ve heard of Ember.js or are just curious on how a single-page application framework works, then this book is for you.What You Will LearnSkip the boilerplate code with Ember CLI generatorsCreate a component with actions and eventsSet up a model with Ember Data using fixture dataCreate several different types of test cases and run themManage and set up user authentication using Ember Simple AuthAdd animated transitions to your app with Liquid FireSet up a service and initializer with dependency injectionCreate a working chat applicationSet up an Ember Service and initializer with dependency injectionCreate a working chat applicationIn DetailEmber.js is an open source JavaScript framework that will make you more productive. It uses common idioms and practices, making it simple to create amazing single-page applications. It also lets you create code in a modular way using the latest JavaScript features. Not only that, it has a great set of APIs to get any task done. The Ember.js community is welcoming newcomers and is ready to help you when needed.This book provides in-depth explanations on how to use the Ember.js framework to take you from beginner to expert. You’ll start with some basic topics and by the end of the book, you’ll know everything you need to know to build a fully operational Ember application.We’ll begin by explaining key points on how to use the Ember.js framework and the associated tools. You’ll learn how to effectively use Ember CLI and how to create and deploy your application. We’ll take a close look at the Ember object model and templates by examining bindings and observers. We’ll then move onto Ember components, models, and Ember Data. We’ll show you examples on how to connect to RESTful databases. Next we’ll get to grips with testing with integration and acceptance tests using QUnit. We will conclude by covering authentication, services, and Ember add-ons. We’ll explore advanced topics such as services and initializers, and how to use them together to build real-time applications.Style and approachEach recipe in this book will make it that much easier to understand Ember.js. Recipe after recipe, you will learn the concepts of Ember.js by following the simple step-by-step processes

Learn the art of regression analysis with PythonAbout This BookBecome competent at implementing regression analysis in PythonSolve some of the complex data science problems related to predicting outcomesGet to grips with various types of regression for effective data analysisWho This Book Is ForThe book targets Python developers, with a basic understanding of data science, statistics, and math, who want to learn how to do regression analysis on a dataset. It is beneficial if you have some knowledge of statistics and data science.What You Will LearnFormat a dataset for regression and evaluate its performanceApply multiple linear regression to real-world problemsLearn to classify training pointsCreate an observation matrix, using different techniques of data analysis and cleaningApply several techniques to decrease (and eventually fix) any overfitting problemLearn to scale linear models to a big dataset and deal with incremental dataIn DetailRegression is the process of learning relationships between inputs and continuous outputs from example data, which enables predictions for novel inputs. There are many kinds of regression algorithms, and the aim of this book is to explain which is the right one to use for each set of problems and how to prepare real-world data for it. With this book you will learn to define a simple regression problem and evaluate its performance. The book will help you understand how to properly parse a dataset, clean it, and create an output matrix optimally built for regression. You will begin with a simple regression algorithm to solve some data science problems and then progress to more complex algorithms. The book will enable you to use regression models to predict outcomes and take critical business decisions. Through the book, you will gain knowledge to use Python for building fast better linear models and to apply the results in Python or in any computer language you prefer.Style and approach This is a practical tutorial-based book. You will be given an example problem and then supplied with the relevant code and how to walk through it. The details are provided in a step by step manner, followed by a thorough explanation of the math underlying the solution. This approach will help you leverage your own data using the same techniques.

Over 100 effective recipes to help you design, implement, and manage the software-defined and massively scalable Ceph storage systemAbout This BookImplement a Ceph cluster successfully and gain deep insights into its best practicesHarness the abilities of experienced storage administrators and architects, and run your own software-defined storage systemThis comprehensive, step-by-step guide will show you how to build and manage Ceph storage in production environmentWho This Book Is ForThis book is aimed at storage and cloud system engineers, system administrators, and technical architects who are interested in building software-defined storage solutions to power their cloud and virtual infrastructure. If you have basic knowledge of GNU/Linux and storage systems, with no experience of software defined storage solutions and Ceph, but eager to learn this book is for you.What You Will LearnUnderstand, install, configure, and manage the Ceph storage systemGet to grips with performance tuning and benchmarking, and gain practical tips to run Ceph in productionIntegrate Ceph with OpenStack Cinder, Glance, and nova componentsDeep dive into Ceph object storage, including s3, swift, and keystone integrationBuild a Dropbox-like file sync and share service and Ceph federated gateway setupGain hands-on experience with Calamari and VSM for cluster monitoringFamiliarize yourself with Ceph operations such as maintenance, monitoring, and troubleshootingUnderstand advanced topics including erasure coding, CRUSH map, cache pool, and system maintenanceIn DetailCeph is a unified, distributed storage system designed for excellent performance, reliability, and scalability. This cutting-edge technology has been transforming the storage industry, and is evolving rapidly as a leader in software-defined storage space, extending full support to cloud platforms such as Openstack and Cloudstack, including virtualization platforms. It is the most popular storage backend for Openstack, public, and private clouds, so is the first choice for a storage solution. Ceph is backed by RedHat and is developed by a thriving open source community of individual developers as well as several companies across the globe.This book takes you from a basic knowledge of Ceph to an expert understanding of the most advanced features, walking you through building up a production-grade Ceph storage cluster and helping you develop all the skills you need to plan, deploy, and effectively manage your Ceph cluster. Beginning with the basics, you’ll create a Ceph cluster, followed by block, object, and file storage provisioning. Next, you’ll get a step-by-step tutorial on integrating it with OpenStack and building a Dropbox-like object storage solution. We’ll also take a look at federated architecture and CephFS, and you’ll dive into Calamari and VSM for monitoring the Ceph environment. You’ll develop expert knowledge on troubleshooting and benchmarking your Ceph storage cluster. Finally, you’ll get to grips with the best practices to operate Ceph in a production environment.Style and approach This step-by-step guide is filled with practical tutorials, making complex scenarios easy to understand.

If you are an experienced network administrator looking for a comprehensive monitoring solution that will keep a watchful eye on networks, then this book is for you.

This book looks into PHP projects mainly from an enterprise view. The author's experience enables him to give you an overall picture of PHP projects and discuss factors that contribute to project success in a clear and precise manner. Each chapter focuses specifically on how the techniques covered will make team work easier. Examples (rather than abstract best practices) are used to illustrate the practical benefits. This book is for PHP developers who work in teams on complex PHP projects. With this book in hand, it is easy to discover the secrets of successful PHP projects that meet today's complex enterprise demands. This book can also be useful for project managers who are looking to be successful with PHP projects. Those who are stakeholders in PHP projects, such as clients, or those who want to sponsor PHP projects, can also learn what to expect and how to deal with a PHP project team with this book.

This is a Packt Cookbook, which means it contains step-by-step instructions to achieve a particular goal or solve a particular problem. The book can be read chapter by chapter, or you can look at the table of contents and read the recipes in no particular order. This book is for anyone who wants to enhance their WordPress blog to make it engaging and feature-rich. It is not specifically for developers or programmers; rather it can be used by anyone who wants to get more out of their WordPress blog by following step-by-step instructions. A basic knowledge of PHP/XHTML/CSS/WordPress is desirable but not necessary.

Written in Packt's tutorial format the hands on examples and real life applications that will guide you through Gradle and give you the knowledge to use it every day. If you are a Java developer who wants to automate compiling, packaging and deploying your application this book is for you.

This book is written in friendly, practical style with numerous hands-on examples and tutorials throughout.This book is written for developers who wish to leverage ElasticSearch to create a fast and flexible search solution. If you are looking to learn ElasticSearch or become more proficient then this book is for you. You do not need know anything about ElasticSeach, Java, or Apache Lucene in order to use this book, though basic knowledge about databases and queries is required.

This is a cookbook with easy-to-follow recipes containing practical and detailed examples which are all fully backed up with code, illustrations, and tips. "Vaadin 7 Cookbook" is for developers who want to create Rich Internet Applications with Vaadin. Both newcomers to Vaadin and those who have some experience with it will find recipes to expand their working knowledge of Vaadin.

This cookbook has recipes written in simple, easy to understand format with lots of screenshots and insightful tips and hints. If you are an Oracle Database Administrator, Security Manager or Security Auditor looking to secure the Oracle Database or prevent it from being hacked, then this book is for you. This book assumes you have a basic understanding of security concepts.

If you are a programmer with an interest in building advanced robotics projects using inexpensive hardware and open source software, then this book is for you. Some experience with computer programming and implementing simple mechanical systems is required.

This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.