Recommending Books for Purchase (Bulletin 10 - Feb 2018) - Packt Publisher: Business Intelligence and Business

Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of RAbout This Book* A comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R* Combine Tableau analytics and visualization with the power of R using this step-by-step guide* Wondering how R can be used with Tableau? This book is your one-stop solution.Who This Book Is ForThis book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau.A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. Those R developers who want to integrate R in Tableau will also benefit from this book.What You Will Learn* Integrate Tableau's analytics with the industry-standard, statistical prowess of R.* Make R function calls in Tableau, and visualize R functions with Tableau using RServe.* Use the CRISP-DM methodology to create a roadmap for analytics investigations.* Implement various supervised and unsupervised learning algorithms in R to return values to Tableau.* Make quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions.In DetailTableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.Style and approachTableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. When you want to move from one view of data to another, backed up by complex computations, the combination of R and Tableau makes the perfect solution. This example-rich guide will teach you how to combine these two to perform advanced analytics by integrating Tableau with R and create beautiful data visualizations.

Find out how to craft effective, business-oriented Java EE 8 applications that target customer's demands in the age of Cloud platforms and container technology.About This Book* Understand the principles of modern Java EE and how to realize effective architectures* Gain knowledge of how to design enterprise software in the age of automation, Continuous Delivery and Cloud platforms* Learn about the reasoning and motivations behind state-of-the-art enterprise Java technology, that focuses on businessWho This Book Is ForThis book is for experienced Java EE developers who are aspiring to become the architects of enterprise-grade applications, or software architects who would like to leverage Java EE to create effective blueprints of applications.What You Will Learn* What enterprise software engineers should focus on* Implement applications, packages, and components in a modern way* Design and structure application architectures* Discover how to realize technical and cross-cutting aspects* Get to grips with containers and container orchestration technology* Realize zero-dependency, 12-factor, and Cloud-native applications* Implement automated, fast, reliable, and maintainable software tests* Discover distributed system architectures and their requirementsIn DetailJava EE 8 brings with it a load of features, mainly targeting newer architectures such as microservices, modernized security APIs, and cloud deployments. This book will teach you to design and develop modern, business-oriented applications using Java EE 8. It shows how to structure systems and applications, and how design patterns and Domain Driven Design aspects are realized in the age of Java EE 8. You will learn about the concepts and principles behind Java EE applications, and how to effect communication, persistence, technical and cross-cutting concerns, and asynchronous behavior.This book covers Continuous Delivery, DevOps, infrastructure-as-code, containers, container orchestration technologies, such as Docker and Kubernetes, and why and especially how Java EE fits into this world. It also covers the requirements behind containerized, zero-dependency applications and how modern Java EE application servers support these approaches. You will also learn about automated, fast, and reliable software tests, in different test levels, scopes, and test technologies. This book covers the prerequisites and challenges of distributed systems that lead to microservice, shared-nothing architectures. The challenges and solutions of consistency versus scalability will further lead us to event sourcing, event-driven architectures, and the CQRS principle. This book also includes the nuts and bolts of application performance as well as how to realize resilience, logging, monitoring and tracing in a modern enterprise world. Last but not least the demands of securing enterprise systems are covered.By the end, you will understand the ins and outs of Java EE so that you can make critical design decisions that not only live up to, but also surpass your clients' expectations.Style and approachThis book focuses on solving business problems and meeting customer demands in the enterprise world. It covers how to create enterprise applications with reasonable technology choices, free of cargo-cult and over-engineering. The aspects shown in this book not only demonstrate how to realize a certain solution, but also explain its motivations and reasoning.

A comprehensive guide to learning Cacti and using it to implement performance measurement and reporting within a Network Operations Center Key Features A complete Cacti book that focuses on the basics as well as the advanced concepts you need to know for implementing a Network Operations Center A step-by-step Beginner's Guide with detailed instructions on how to create and implement custom plugins Written by Thomas Urban - creator of the "Cereus" and "NMID" plugins for Cacti known as Phalek in the Cacti forum Book Description Cacti is a performance measurement tool that provides easy methods and functions for gathering and graphing system data. You can use Cacti to develop a robust event management system that can alert on just about anything you would like it to. But to do that, you need to gain a solid understanding of the basics of Cacti, its plugin architecture, and automation concepts. Cacti Beginner's Guide will introduce you to the wide variety of features of Cacti and will guide you on how to use them for maximum effectiveness. Advanced topics such as the plugin architecture and Cacti automation using the command-line interface will help you build a professional performance measurement system. Designed as a beginner's guide, the book starts off with the basics of installing and using Cacti, and also covers the advanced topics that will show you how to customize and extend the core Cacti functionalities. The book offers essential tutorials for creating advanced graphs and using plugins to create enterprise-class reports to show your customers and colleagues. From data templates to input methods and plugin installation to creating your own customized plugins, this book provides you with a rich selection of step-by-step instructions to reach your goals. It covers all you need to know to implement professional performance measurement techniques with Cacti and ways to fully customize Cacti to fit your needs. You will also learn how to migrate Cacti to new servers. Lastly you will also be introduced to the latest feature of building a scalable remote poller environment. By the end of the book, you will be able to implement and extend Cacti to monitor, display, and report the performance of your network exactly the way you want. What you will learn Setting up Cacti on Linux and Windows systems Extending the core functionality by using the plugin architecture Building your own custom plugins Creating your own custom data input method to retrieve data from your systems Using SNMP, SSH, and WMI to retrieve remote performance data Designing and create enterprise-class reports with the reporting plugins Implementing threshold-based alerting using the Thold plugin Automating common administrative tasks utilizing the command-line interface and the automate functionality Migrating Cacti to new servers Building a multi remote-poller environment Who this book is for If you are a network operator and want to use Cacti for implementing performance measurement for trending, troubleshooting, and reporting purposes, then this book is for you. You only need to know the basics of network management and SNMP.

Create and publish your own interactive and compelling data visualizations with D3.js 4.xAbout This Book* Build interactive and rich graphics and visualization using JavaScript`s powerful library D3.js* Learn D3 from the ground up, using the all-new version 4 of the library* Gain insight into producing high-quality, extensible charts and visualizations using best practices such as writing testable, extensible code and strong typingWho This Book Is ForThis book is for web developers, interactive news developers, data scientists, and anyone interested in representing data through interactive visualizations on the Web with D3. Some basic knowledge of JavaScript is expected, but no prior experience with data visualization or D3 is required to follow this book.What You Will Learn* Map data to visual elements using D3's scales* Draw SVG elements using D3's shape generators* Transform data using D3's collection methods* Use D3's various layout patterns to quickly generate various common types of chart* Write modern JavaScript using ES2017 and Babel* Explore the basics of unit testing D3 visualizations using Mocha and Chai* Write and deploy a simple Node.js web service to render charts via HTML Canvas* Understand what makes a good data visualization and how to use the tools at your disposal to create accurate chartsIn DetailWant to get started with impressive interactive visualizations and implement them in your daily tasks? This book offers the perfect solution-D3.js. It has emerged as the most popular tool for data visualization.This book will teach you how to implement the features of the latest version of D3 while writing JavaScript using the newest tools and techniqueYou will start by setting up the D3 environment and making your first basic bar chart. You will then build stunning SVG and Canvas-based data visualizations while writing testable, extensible code,as accurate and informative as it is visually stimulating. Step-by-step examples walk you through creating, integrating, and debugging different types of visualization and will have you building basic visualizations (such as bar, line, and scatter graphs) in no time.By the end of this book, you will have mastered the techniques necessary to successfully visualize data and will be ready to use D3 to transform any data into an engaging and sophisticated visualization.Style and approachThis book follows a tutorial-based approach in teaching the world's most powerful data visualization library, D3.

Master data management & analysis techniques with IBM SPSS Statistics 24About This Book* Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data* Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease* Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricksWho This Book Is ForThis book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods. What You Will Learn* Install and set up SPSS to create a working environment for analytics* Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data* How to import different kinds of data and work with it* Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure your data)* Discover basic relationships among data elements (bivariate data patterns, differences in means, correlations)* Explore multivariate relationships* Leverage the offerings to draw accurate insights from your research, and benefit your decision-makingIn DetailSPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data.The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed.By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.Style and approachProvides a practical orientation to understanding a set of data and examining the key relationships among the data elements. Shows useful visualizations to enhance understanding and interpretation. Outlines a roadmap that focuses the process so decision regarding how to proceed can be made easily.

Discover over 65 recipes to help you create breathtaking data visualizations using the latest features of D3About This Book- Learn about D3 4.0 from the inside out and master its new features- Utilize D3 packages to generate graphs, manipulate data, and create beautiful presentations- Solve real-world visualization problems with the help of practical recipesWho This Book Is ForIf you are a developer familiar with HTML, CSS, and JavaScript, and you wish to get the most out of D3, then this book is for you. This book can serve as a desktop quick-reference guide for experienced data visualization developers. You'll also find this book useful if you're a D3 user who wants to take advantage of the new features introduced in D3 4.0. You should have previous experience with D3.What You Will Learn- Get a solid understanding of the D3 fundamentals and idioms- Use D3 to load, manipulate, and map data to any kind of visual representation on the web- Create data-driven dynamic visualizations that update as the data does- Leverage the various modules provided by D3 to create sophisticated, dynamic, and interactive charts and graphics- Create data-driven transitions and animations within your visualizations- Understand and leverage more advanced concepts such as force, touch, and Geo data visualizationsIn DetailThis book gives you all the guidance you need to start creating modern data visualizations with D3 4.x that take advantage of the latest capabilities of JavaScript.The book starts with the basic D3 structure and building blocks and quickly moves on to writing idiomatic D3-style JavaScript code. You will learn how to work with selection to target certain visual elements on the page, then you will see techniques to represent data both in programming constructs and its visual metaphor. You will learn how map values in your data domain to the visual domain using scales, and use the various shape functions supported by D3 to create SVG shapes in visualizations.Moving on, you'll see how to use and customize various D3 axes and master transition to add bells and whistles to otherwise dry visualizations. You'll also learn to work with charts, hierarchy, graphs, and build interactive visualizations. Next you'll work with Force, which is one of the most awe-inspiring techniques you can add to your visualizations, and you'll implement a fully functional Choropleth map (a special purpose colored map) in D3.Finally, you'll learn to unit test data visualization code and test-driven development in a visualization project so you know how to produce high-quality D3 code.Style and approachThis step-by-step guide to mastering data visualizations with D3 will help you create amazing data visualizations with professional efficiency and precision. It is a solution-based guide in which you learn through practical recipes, illustrations, and code samples.

Explore the power of distributed computing to write concurrent, scalable applications in JavaAbout This Book* Make the best of Java 9 features to write succinct code * Handle large amounts of data using HPC * Make use of AWS and Google App Engine along with Java to establish a powerful remote computation systemWho This Book Is ForThis book is for basic to intermediate level Java developers who is aware of object-oriented programming and Java basic concepts.What You Will Learn* Understand the basic concepts of parallel and distributed computing/programming* Achieve performance improvement using parallel processing, multithreading, concurrency, memory sharing, and hpc cluster computing * Get an in-depth understanding of Enterprise Messaging concepts with Java Messaging Service and Web Services in the context of Enterprise Integration Patterns* Work with Distributed Database technologies* Understand how to develop and deploy a distributed application on different cloud platforms including Amazon Web Service and Docker CaaS Concepts * Explore big data technologies* Effectively test and debug distributed systems* Gain thorough knowledge of security standards for distributed applications including two-way Secure Socket LayerIn DetailDistributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9.After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases. Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.Style and approachThis is a step-by-step practical guide with real-world examples.

Breathe life into your data by learning how to use D3.js V4 to visualize informationAbout This Book* Create complex visualizations powered by D3.js and open data.* Provides an extensive set of visualizations that explore all the functionality provided by D3.js V4.* Shows how to set up an easy-to-use environment to create stunning visualizations.Who This Book Is ForThe typical target audience of this book is JavaScript developers, designers, and visual artists who have some basic JavaScript programming knowledge and who now want to master pro-level techniques to create interactive data visualizations using web standards which work on desktop as well as mobile devices.What You Will Learn* Learn how D3.js works to declaratively define visualizations.* Create charts from scratch by using SVG and the D3.js APIs* See how to prepare data for easy visualization using D3.js.* Visualize hierarchical data using chart types provided by D3.js* Explore the different options provided by D3.js to visualize linked data such as graphs.* Spice up your visualizations by adding interactivity and animations.* Learn how to use D3.js to visualize and interact with Geo- and Gis-related information sources.* Create visualization by streaming data over WebSocketsIn DetailDo you want to make sense of your data? Do you want to create interactive charts, data trees, info-graphics, geospatial charts, and maps efficiently? This book is your ideal choice to master interactive data visualization with D3.js V4.The book includes a number of extensive examples that to help you hone your skills with data visualization. Throughout nine chapters these examples will help you acquire a clear practical understanding of the various techniques, tools and functionality provided by D3.js. You will first setup your D3.JS development environment and learn the basic patterns needed to visualize your data. After that you will learn techniques to optimize different processes such as working with selections; animating data transitions; creating graps and charts, integrating external resources (static as well as streaming); visualizing information on maps; working with colors and scales; utilizing the different D3.js APIs; and much more. The book will also guide you through creating custom graphs and visualizations, and show you how to go from the raw data to beautiful visualizations. The extensive examples will include working with complex and realtime data streams, such as seismic data, geospatial data, scientific data, and more. Towards the end of the book, you will learn to add more functionality on top of D3.js by using it with other external libraries and integrating it with Ecmascript 6 and TypescriptStyle and approachThis book will have a real-world, case-study approach, where you will be given data sets from different domains. These data sets will have different visualization goals; some might need 2D or 3D charts, some might need automated workflows, others might require interactive maps. While you fulfill these goals, you will learn different techniques and best practices, which will enable you to perform data visualization tasks on your own

Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler Key Features Get up-and-running with IBM SPSS Modeler without going into too much depth. Identify interesting relationships within your data and build effective data mining and predictive analytics solutions A quick, easy-to-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business Book Description IBM SPSS Modeler allows users to quickly and efficiently use predictive analytics and gain insights from your data. With almost 25 years of history, Modeler is the most established and comprehensive Data Mining workbench available. Since it is popular in corporate settings, widely available in university settings, and highly compatible with all the latest technologies, it is the perfect way to start your Data Science and Machine Learning journey. This book takes a detailed, step-by-step approach to introducing data mining using the de facto standard process, CRISP-DM, and Modeler's easy to learn "visual programming" style. You will learn how to read data into Modeler, assess data quality, prepare your data for modeling, find interesting patterns and relationships within your data, and export your predictions. Using a single case study throughout, this intentionally short and focused book sticks to the essentials. The authors have drawn upon their decades of teaching thousands of new users, to choose those aspects of Modeler that you should learn first, so that you get off to a good start using proven best practices. This book provides an overview of various popular data modeling techniques and presents a detailed case study of how to use CHAID, a decision tree model. Assessing a model's performance is as important as building it; this book will also show you how to do that. Finally, you will see how you can score new data and export your predictions. By the end of this book, you will have a firm understanding of the basics of data mining and how to effectively use Modeler to build predictive models. What you will learn Understand the basics of data mining and familiarize yourself with Modeler's visual programming interface Import data into Modeler and learn how to properly declare metadata Obtain summary statistics and audit the quality of your data Prepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields Assess simple relationships using various statistical and graphing techniques Get an overview of the different types of models available in Modeler Build a decision tree model and assess its results Score new data and export predictions Who this book is for This book is ideal for those who are new to SPSS Modeler and want to start using it as quickly as possible, without going into too much detail. An understanding of basic data mining concepts will be helpful, to get the best out of the book.

Become a full-fledged Qlik Sense Consultant with the help of this unique guideAbout This Book* Become a successful Qlik consultant with the help of this insightful guide* Build what is in line as well as exceeding your customer's expectations from your Qlik Sense solutions using this highly practical guide* Build result-driven optimized BI solutions using Qlik with the help of industry examplesWho This Book Is ForIf you have basic familiarity with Qlik Sense and want to upgrade your skills to become a full-fledged Qlik Consultant, this book is for you. With this book, you will be able to create efficient business intelligence solutions that would fetch client satisfaction, and in turn, more projects.What You Will Learn* Understand the importance and expectations of a consultant's role* Engage with the customer to understand the ir goals and future objectives* Design the optimum architecture, using the best practices for the development and implementation of your projects* Ensure successful adoption using real-life examples to make your learning complete* Learn about the important stages of a Qlik project's life cycleIn DetailQlik Sense is a leading platform for business intelligence (BI) solutions. Qlik Sense helps organizations in making informed decisions based on the data they have.This book will teach you how to effectively use Qlik for optimum customer satisfaction. You will undergo a metamorphosis from a developer to a consultant who is capable of building the most suitable BI solutions for your clients. The book will take you through several business cases - this will give you enough insight to understand the needs of the client clearly and build a BI solution that meets or exceeds their expectations. Starting from the pre-project activities, you will go to the actual execution of the project, the implementation, and even maintenance. This book will give you all the information you need - from the strategy to requirement gathering to implementing BI solutions using Qlik Sense.The book will empower you to take the right decisions in tricky and diffi cult situations while developing analytics and dashboards.Style and approachThis book will be a hands-on guide that will teach you all the what-to-do's, when-to-do's, and how-to-do's for becoming a successful Qlik Sense Consultant. With the help of various business scenarios, the book will cover real-world problems that you can relate to.Various solutions in the book will be backed up by the thought process of why are these solutions used and how you can implement them in your own business environment.

Explore the Java Virtual Machine with modern programming languagesAbout This Book* This guide provides in-depth coverage of the Java Virtual Machine and its features* Filled with practical examples, this book will help you understand the core concepts of Java, Scala, Clojure, Kotlin, and Groovy* Work with various programming paradigms and gain knowledge about imperative, object-oriented and functional programmingWho This Book Is ForThis book is meant for programmers who are interested in the Java Virtual Machine (JVM) and want to learn more about the most popular programming languages that can be used for JVM development. Basic practical knowledge of a modern programming language that supports object-oriented programming (JavaScript, Python, C#, VB.NET, and C++) is assumed.What You Will Learn* Gain practical information about the Java Virtual Machine* Understand the popular JVM languages and the Java Class Library* Get to know about various programming paradigms such as imperative, object-oriented, and functional* Work with common JVM tools such as Eclipse IDE, Gradle, and Maven* Explore frameworks such as SparkJava, Vert.x, Akka and JavaFX* Boost your knowledge about dialects of other well-known programming languages that run on the JVM, including JavaScript, Python, and RubyIn DetailAnyone who knows software development knows about the Java Virtual Machine. The Java Virtual Machine is responsible for interpreting Java byte code and translating it into actions. In the beginning, Java was the only programming language used for the JVM. But increasing complexity of the language and the remarkable performance of the JVM created an opening for a new generation of programming languages. If you want to build a strong foundation with the Java Virtual Machine and get started with popular modern programming languages, then this book is for you.The book will begin with a general introduction of the JVM and its features, which are common to the JVM languages, helping you get abreast with its concepts. It will then dive into explaining languages such as Java, Scala, Clojure, Kotlin, and Groovy and will show how to work with each language, their features, use cases, and pros and cons. By writing example projects in those languages and focusing on each language's strong points, it will help you find the programming language that is most appropriate for your particular needs.By the end of the book, you will have written multiple programs that run on the Java Virtual Machine and know about the differences between the various languages.Style and approachThis practical, example-filled guide will help you get started with the JVM and some of its most popular languages.

Master the art of fast, effective Java development with the power of concurrent and parallel programmingAbout This Book- Get detailed coverage of important recipes on multi-threading and parallel programming- This book takes a close look at the Java 9 APIs and their impact on concurrency- See practical examples on thread safety, high-performance classes, safe sharing, and a whole lot moreWho This Book Is ForThe book is for Java developers and programmers at an intermediate to advanced level. It will be especially useful for developers who want to take advantage of task-based recipes using Java 9's concurrent API to program thread-safe solutions.What You Will Learn- Find out to manage the basic components of the Java Concurrency API- Use synchronization mechanisms to avoid data race conditions and other problems of concurrent applications- Separate the thread management from the rest of the application with the Executor framework- Solve problems using a parallelized version of the divide and conquer paradigm with the Fork / Join framework- Process massive data sets in an optimized way using streams and reactive streams- See which data structures we can use in concurrent applications and how to use them- Practice efficient techniques to test concurrent applications- Get to know tips and tricks to design concurrent applicationsIn DetailWriting concurrent and parallel programming applications is an integral skill for any Java programmer. Java 9 comes with a host of fantastic features, including significant performance improvements and new APIs.This book will take you through all the new APIs, showing you how to build parallel and multi-threaded applications. The book covers all the elements of the Java Concurrency API, with essential recipes that will help you take advantage of the exciting new capabilities.You will learn how to use parallel and reactive streams to process massive data sets. Next, you will move on to create streams and use all their intermediate and terminal operations to process big collections of data in a parallel and functional way.Further, you'll discover a whole range of recipes for almost everything, such as thread management, synchronization, executors, parallel and reactive streams, and many more. At the end of the book, you will learn how to obtain information about the status of some of the most useful components of the Java Concurrency API and how to test concurrent applications using different tools.Style and approachThis recipe-based book will allow you to explore the exciting capabilities of concurrency in Java. After reading this book, you will be able to comfortably build parallel applications in Java 9.

A definitive guide to learning the key concepts of modern application development in JavaAbout This Book* Learn the latest features of Java 9* Extend your Java knowledge and take your application to new levels by making it fast, secure, and scalable* Delve into the intricacies of Modular programming in Java 9Who This Book Is ForThe book is for intermediate to advanced Java programmers who want to make their applications fast, secure, and scalable.What You Will Learn* Set up JDK and know the differences in the JDK 9 installation* Implement OO designs using classes and interfaces* Manage operating system processes* Understand the new modular JDK and modular programming* Create a modular application with clear dependencies* Build graphical user interfaces using JavaFX* Use the new HTTP Client API* Learn about the new diagnostic features in Java 9* See how to use the new jShell REPL tool* Execute ES6-compliant JavaScript code from your Java applicationsIn DetailJava is an object-oriented programming language. It is one of the most widely accepted languages because of its design and programming features, particularly in its promise that you can write a program once and run it anywhere.This cookbook offers a range of software development examples in simple and straightforward Java 9 code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently. Starting with the installation of Java, each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works.We cover major concepts such as Project Jigsaw and various tools that will enable you to modularize your applications. You will learn new features in the form of recipes that will make your applications modular, secure, and fast.Style and approachEach recipe in this book contains a series of complete instructions to perform a core task, plus an explanation of the purpose behind it. Similar methods or further refinements are included with each recipe to provide comprehensive guidance.

Gain a deep understanding of the complexity of data structures and algorithms and discover the right way to write more efficient codeAbout This Book* This book provides complete coverage of reactive and functional data structures* Based on the latest version of Java 9, this book illustrates the impact of new features on data structures* Gain exposure to important concepts such as Big-O Notation and Dynamic ProgrammingWho This Book Is ForThis book is for Java developers who want to learn about data structures and algorithms. Basic knowledge of Java is assumed.What You Will Learn* Understand the fundamentals of algorithms, data structures, and measurement of complexity* Find out what general purpose data structures are, including arrays, linked lists, double ended linked lists, and circular lists* Get a grasp on the basics of abstract data types-stack, queue, and double ended queue* See how to use recursive functions and immutability while understanding and in terms of recursion* Handle reactive programming and its related data structures* Use binary search, sorting, and efficient sorting-quicksort and merge sort* Work with the important concept of trees and list all nodes of the tree, traversal of tree, search trees, and balanced search trees* Apply advanced general purpose data structures, priority queue-based sorting, and random access immutable linked lists* Gain a better understanding of the concept of graphs, directed and undirected graphs, undirected trees, and much moreIn DetailJava 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book is based on the Zero Bug Bounce milestone of Java 9.We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we'll take you through the basics of functional programming while making sure you get used to thinking recursively.We provide plenty of examples along the way to help you understand each concept. You will get the also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more!Style and approachThis book will teach you about all the major algorithms in a step-by-step manner. Special notes on the Big-O Notation and its impact on algorithms will give you fresh insights.

Best practices to adapt and bottlenecks to avoidAbout This Book* Tackle all kinds of performance-related issues and streamline your development* Master the new features and new APIs of Java 9 to implement highly efficient and reliable codes* Gain an in-depth knowledge of Java application performance and obtain best results from performance testingWho This Book Is ForThis book is for Java developers who would like to build reliable and high-performance applications. Prior Java programming knowledge is assumed.What You Will Learn* Work with JIT compilers* Understand the usage of profiling tools* Generate JSON with code examples* Leverage the command-line tools to speed up application development* Build microservices in Java 9* Explore the use of APIs to improve application code* Speed up your application with reactive programming and concurrencyIn DetailFinally, a book that focuses on the practicalities rather than theory of Java application performance tuning. This book will be your one-stop guide to optimize the performance of your Java applications.We will begin by understanding the new features and APIs of Java 9. You will then be taught the practicalities of Java application performance tuning, how to make the best use of garbage collector, and find out how to optimize code with microbenchmarking. Moving ahead, you will be introduced to multithreading and learning about concurrent programming with Java 9 to build highly concurrent and efficient applications. You will learn how to fine tune your Java code for best results. You will discover techniques on how to benchmark performance and reduce various bottlenecks in your applications. We'll also cover best practices of Java programming that will help you improve the quality of your codebase.By the end of the book, you will be armed with the knowledge to build and deploy efficient, scalable, and concurrent applications in Java.Style and approachThis step-by-step guide provides real-world examples to give you a hands-on experience.

Build a variety of real-world applications by taking advantage of the newest features of Java 9About This Book* See some of the new features of Java 9 and be introduced to parts of the Java SDK* This book provides a set of diverse, interesting projects that range in complexity from fairly simple to advanced and cover HTTP 2.0* Take advantage of Java's new modularity features to write real-world applications that solve a variety of problemsWho This Book Is ForThis book is for Java developers who are already familiar with the language. Familiarity with more advanced topics, such as network programming and threads, would be helpful, but is not assumed.What You Will Learn* Learn how to package Java applications as modules by using the Java Platform Module System* Implement process management in Java by using the all-new process handling API* Integrate your applications with third-party services in the cloud* Interact with mail servers using JavaMail to build an application that filters spam messages* Learn to use JavaFX to build rich GUI based applications, which are an essential element of application development* Write microservices in Java using platform libraries and third-party frameworks* Integrate a Java application with MongoDB to build a cloud-based note taking applicationIn DetailJava is a powerful language that has applications in a wide variety of fields. From playing games on your computer to performing banking transactions, Java is at the heart of everything.The book starts by unveiling the new features of Java 9 and quickly walks you through the building blocks that form the basis of writing applications. There are 10 comprehensive projects in the book that will showcase the various features of Java 9. You will learn to build an email filter that separates spam messages from all your inboxes, a social media aggregator app that will help you efficiently track various feeds, and a microservice for a client/server note application, to name a few. The book covers various libraries and frameworks in these projects, and also introduces a few more frameworks that complement and extend the Java SDK.Through the course of building applications, this book will not only help you get to grips with the various features of Java 9, but will also teach you how to design and prototype professional-grade applications with performance and security considerations.Style and approachThis is a learn-as-you-build practical guide to building full-fledged applications using Java 9. With a project-based approach, we'll improve your Java skills. You will experience a variety of solutions to problems with Java.

Get the steps you need to discover the world of Java 9 programming using real-world examplesAbout This Book* We bridge the gap between "learning" and "doing" by providing real-world examples that will improve your software development* Our example-based approach will get you started quickly with software programming, get you up-to-speed with Java 9, and improve your Java skills* This book will show you the best practices of Java coding and improve your productivityWho This Book Is ForThis book is for anyone who wants to learn the Java programming language. You are expected to have some prior programming experience with another language, such as JavaScript or Python, but no knowledge of earlier versions of Java is assumed.What You Will Learn* Compile, package and run a trivial program using a build management tool* Get to know the principles of test-driven development and dependency management* Separate the wiring of multiple modules from the application logic into an application using dependency injection* Benchmark Java execution using Java 9 microbenchmarking* See the workings of the Spring framework and use Java annotations for the configuration* Master the scripting API built into the Java language and use the built-in JavaScript interpreter* Understand static versus dynamic implementation of code and high-order reactive programming in JavaIn DetailThis book gets you started with essential software development easily and quickly, guiding you through Java's different facets. By adopting this approach, you can bridge the gap between learning and doing immediately. You will learn the new features of Java 9 quickly and experience a simple and powerful approach to software development. You will be able to use the Java runtime tools, understand the Java environment, and create Java programs.We then cover more simple examples to build your foundation before diving to some complex data structure problems that will solidify your Java 9 skills. With a special focus on modularity and HTTP 2.0, this book will guide you to get employed as a top notch Java developer.By the end of the book, you will have a firm foundation to continue your journey towards becoming a professional Java developer.Style and approachThroughout this book, our aim is to build Java programs. We will be building multiple applications ranging from simpler ones to more complex ones. Learning by doing has its advantages as you will immediately see the concepts explained in action.

Explore Java 9 with JShell and UMLAbout This Book* A full account of Java 9's new features* This tutorial emphasises fluency using JShell exercises* Get a thorough introduction to contract programming code reuse via Java generics* Learn how to use the new module system* How to use proper functional programming style inside Java 9Who This Book Is ForThis book can be understood by anyone who is a graduate of computer science or someone who has just begun working as a software engineer. Basically, an understanding of an object-oriented programming language like Python, C++ or indeed, an earlier Java version is sufficient. It would be helpful to have participated in the full product cycle of a software engineering project.What You Will Learn* Engage with object-oriented programming in Java 9, starting with code snippets in JShell* Optimize your code, applying functional programming features* Discover the advantages of modularity* Become very proficient at using JShell itself* Learn the new approach to Java programming, which uses the REPL as a prototyping toolIn DetailThe release of Java 9 has brought many subtle and not-so-subtle changes to the way in which Java programmers approach their code. The most important ones are definitely the availability of a REPL, known as JShell, which will make experiments and prototyping much more straightforward than the old IDE-based project-led approach. Another, more subtle change can be seen in the module system, which will lead to more modularized, maintainable code. The techniques to take full advantage of object-oriented code, functional programming and the new modularity features in Java 9 form the main subjects of this book.Each chapter will add to the full picture of Java 9 programming starting out with classes and instances and ending with generics and modularity in Java.Style and approachYou will learn by doing: : using JShell as their prototyping environment, you will take full advantage of the new features of Java 9, in particular the full module system and the functional features of Java 9.. There won't be any theory, only small and medium-sized exampled enabling the reader to use the new Java features in professional software engineering projects.

Get the most out of the popular Java libraries and tools to perform efficient data analysisAbout This Book* Get your basics right for data analysis with Java and make sense of your data through effective visualizations.* Use various Java APIs and tools such as Rapidminer and WEKA for effective data analysis and machine learning.* This is your companion to understanding and implementing a solid data analysis solution using JavaWho This Book Is ForIf you are a student or Java developer or a budding data scientist who wishes to learn the fundamentals of data analysis and learn to perform data analysis with Java, this book is for you. Some familiarity with elementary statistics and relational databases will be helpful but is not mandatory, to get the most out of this book. A firm understanding of Java is required.What You Will Learn* Develop Java programs that analyze data sets of nearly any size, including text* Implement important machine learning algorithms such as regression, classification, and clustering* Interface with and apply standard open source Java libraries and APIs to analyze and visualize data* Process data from both relational and non-relational databases and from time-series data* Employ Java tools to visualize data in various forms* Understand multimedia data analysis algorithms and implement them in Java.In DetailData analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks.This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you'll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression.In the process, you'll familiarize yourself with tools such as Rapidminer and WEKA and see how these Java-based tools can be used effectively for analysis. You will also learn how to analyze text and other types of multimedia. Learn to work with relational, NoSQL, and time-series data. This book will also show you how you can utilize different Java-based libraries to create insightful and easy to understand plots and graphs.By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java.Style and approachThe book takes a very comprehensive approach to enhance your understanding of data analysis. Sufficient real-world examples and use cases are included to help you grasp the concepts quickly and apply them easily in your day-to-day work. Packed with clear, easy-to-follow examples, this book will turn you into an ace data analyst in no time.

Learn how to build high-performing enterprise applications using Java EE powered by Angular at the frontend Key Features Leverage Java EE 8 features to build robust backend for your enterprise applications Use Angular to build a single page frontend and combine it with the Java EE backend A practical guide filled with ample real-world examples Book Description The need for high-performing web enterprise applications is growing rapidly. No longer is a basic HTML frontend enough to meet customer demands. This book will be your one-stop guide to build outstanding enterprise web applications with Java EE and Angular. It will teach you to harness the power of Java EE to build sturdy backends while applying Angular on the frontend. Your journey to building excellent web enterprise applications starts here! The book starts with a brief introduction to the fundamentals of Java EE and all the new APIs offered in the latest release. Armed with the knowledge of Java EE 8, you will cover what it's like to build an end-to-end application, configure database connection for JPA, and build a scalable microservice using RESTful APIs running in Docker containers. Taking advantage of Payaramicro capabilities, you will build an Issue Management System, which will have various features as services using Java EE backend. With a detailed coverage of Angular fundamentals, the book will expand the Issue Management System by building a modern single page application frontend. Moving forward, you will learn to fit both the pieces together; both the frontend Angular application and the backend Java EE microservices. As each unit in a microservice promotes high cohesion, you will learn different ways in which independent units can be tested efficiently. The book ends on a high note--concepts on securing your enterprise applications. This is your ultimate guide to building Modern Web Applications. What you will learn Write CDI-based code in Java EE 8 applications Build an understanding of microservices and what they mean in a Java EE context Employ Docker to build and run microservice applications Use configuration optionsto work effectively with JSON documents Handle asynchronous task and write RESTAPI clients Set the foundation for working on Angular projects with the fundamentals of TypeScript Learn to use Angular CLI to add and manage new features Secure Angular applicationsusing malicious attacks adopting JSON Web tokens Who this book is for This book is for Java EE developers who would like to build modern enterprise web applications using Angular. No knowledge of Angular is required.

Develop Enterprise Java applications compliant with the latest version of the Java EE specificationAbout This Book* This book covers all of the major Java EE 8 APIs and includes new additions such as enhanced Security, JSON-B Processing, and more* Learn additional Java EE APIs, such as the Java API for Websocket and the Java Message Service (JMS)* Develop applications by taking advantage of the latest versions of CDI, Security, Servlets, and JSF and other Java EE specificationsWho This Book Is ForIf you are a Java developer who wants to become proficient with Java EE 8, this book is ideal for you. You are expected to have some experience with Java and to have developed and deployed applications in the past, but you don't need any previous knowledge of Java EE.What You Will Learn* Develop and deploy Java EE applications* Embrace the latest additions to the Contexts and Dependency Injection (CDI) specification to develop Java EE applications* Develop web-based applications by utilizing the latest version of JavaServer Faces, JSF 2.3.* Understand the steps needed to process JSON data with JSON-P and the new JSON-B Java EE API* Implement RESTful web services using the new JAX-RS 2.1 API, which also includes support for Server-Sent Events (SSE) and the new reactive client APIIn DetailJava EE is an Enterprise Java standard. Applications written to comply with the Java EE specification do not tie developers to a specific vendor; instead they can be deployed to any Java EE compliant application server. With this book, you'll get all the tools and techniques you need to build robust and scalable applications in Java EE 8. This book covers all the major Java EE 8 APIs including JSF 2.3, Enterprise JavaBeans (EJB) 3.2, Contexts and Dependency Injection (CDI) 2.0, the Java API for WebSockets, JAX-RS 2.1, Servlet 4.0, and more.The book begins by introducing you to Java EE 8 application development and goes on to cover all the major Java EE 8 APIs. It goes beyond the basics to develop Java EE applications that can be deployed to any Java EE 8 compliant application server.It also introduces advanced topics such as JSON-P and JSON-B, the Java APIs for JSON processing, and the Java API for JSON binding. These topics dive deep, explaining how the two APIs (the Model API and the Streaming API) are used to process JSON data.Moving on, we cover additional Java EE APIs, such as the Java API for Websocket and the Java Message Service (JMS), which allows loosely coupled, asynchronous communication. Further on, you'll discover ways to secure Java EE applications by taking advantage of the new Java EE Security API.Finally, you'll learn more about the RESTful web service development using the latest JAX-RS 2.1 specification. You'll also get to know techniques to develop cloud-ready microservices in Java EE.Style and approachThe book takes a pragmatic approach, showing you various techniques to utilize new features of Java EE 8 specification. It is packed with clear, step-by-step instructions, practical examples, and straightforward explanations.

Examine the techniques and Java tools supporting the growing field of data scienceAbout This Book- Your entry ticket to the world of data science with the stability and power of Java- Explore, analyse, and visualize your data effectively using easy-to-follow examples- Make your Java applications more capable using machine learningWho This Book Is ForThis book is for Java developers who are comfortable developing applications in Java. Those who now want to enter the world of data science or wish to build intelligent applications will find this book ideal. Aspiring data scientists will also find this book very helpful.What You Will Learn- Understand the nature and key concepts used in the field of data science- Grasp how data is collected, cleaned, and processed- Become comfortable with key data analysis techniques- See specialized analysis techniques centered on machine learning- Master the effective visualization of your data- Work with the Java APIs and techniques used to perform data analysisIn DetailData science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this book, we cover the important data science concepts and how they are supported by Java, as well as the often statistically challenging techniques, to provide you with an understanding of their purpose and application. The book starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. The next section examines the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation.The final chapter illustrates an in-depth data science problem and provides a comprehensive, Java-based solution. Due to the nature of the topic, simple examples of techniques are presented early followed by a more detailed treatment later in the book. This permits a more natural introduction to the techniques and concepts presented in the book.Style and approachThis book follows a tutorial approach, providing examples of each of the major concepts covered. With a step-by-step instructional style, this book covers various facets of data science and will get you up and running quickly.

Java Programming for Beginners is an introduction to Java programming, taking you through the Java syntax and the fundamentals of object-oriented programming.About This Book* Learn the basics of Java programming in a step-by-step manner* Simple, yet thorough steps that beginners can follow* Teaches you transferable skills, such as flow control and object-oriented programmingWho This Book Is ForThis book is for anyone wanting to start learning the Java language, whether you're a student, casual learner, or existing programmer looking to add a new language to your skillset. No previous experience of Java or programming in general is required.What You Will Learn* Learn the core Java language for both Java 8 and Java 9* Set up your Java programming environment in the most efficient way* Get to know the basic syntax of Java* Understand object-oriented programming and the benefits that it can bring* Familiarize yourself with the workings of some of Java's core classes* Design and develop a basic GUI* Use industry-standard XML for passing data between applicationsIn DetailJava is an object-oriented programming language, and is one of the most widely accepted languages because of its design and programming features, particularly in its promise that you can write a program once and run it anywhere.Java Programming for Beginners is an excellent introduction to the world of Java programming, taking you through the basics of Java syntax and the complexities of object-oriented programming. You'll gain a full understanding of Java SE programming and will be able to write Java programs with graphical user interfaces that run on PC, Mac, or Linux machines. This book is full of informative and entertaining content, challenging exercises, and dozens of code examples you can run and learn from.By reading this book, you'll move from understanding the data types in Java, through loops and conditionals, and on to functions, classes, and file handling. The book finishes with a look at GUI development and training on how to work with XML. The book takes an efficient route through the Java landscape, covering all of the core topics that a Java developer needs. Whether you're an absolute beginner to programming, or a seasoned programmer approaching an object-oriented language for the first time, Java Programming for Beginners delivers the focused training you need to become a Java developer.Style and approachThis book takes a very hands-on approach, carefully building on lessons learned with snippets and tutorials to build real projects.

Your one-stop guide to building an efficient data science pipeline using JupyterAbout This Book* Get the most out of your Jupyter notebook to complete the trickiest of tasks in Data Science* Learn all the tasks in the data science pipeline-from data acquisition to visualization-and implement them using Jupyter* Get ahead of the curve by mastering all the applications of Jupyter for data science with this unique and intuitive guideWho This Book Is ForThis book targets students and professionals who wish to master the use of Jupyter to perform a variety of data science tasks. Some programming experience with R or Python, and some basic understanding of Jupyter, is all you need to get started with this book.What You Will Learn* Understand why Jupyter notebooks are a perfect fit for your data science tasks* Perform scientific computing and data analysis tasks with Jupyter* Interpret and explore different kinds of data visually with charts, histograms, and more* Extend SQL's capabilities with Jupyter notebooks* Combine the power of R and Python 3 with Jupyter to create dynamic notebooks* Create interactive dashboards and dynamic presentations* Master the best coding practices and deploy your Jupyter notebooks efficientlyIn DetailJupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations. This book is a comprehensive guide to getting started with data science using the popular Jupyter notebook.If you are familiar with Jupyter notebook and want to learn how to use its capabilities to perform various data science tasks, this is the book for you! From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter's features to share your documents and codes with your colleagues. The book also explains how Python 3, R, and Julia can be integrated with Jupyter for various data science tasks.By the end of this book, you will comfortably leverage the power of Jupyter to perform various tasks in data science successfully.Style and approachThis book is a perfect blend of concepts and practical examples, written in a way that is very easy to understand and implement. It follows a logical flow where you will be able to build on your understanding of the different Jupyter features with every chapter.

Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform Key Features Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and make accurate predictions Includes real-world examples to put your understanding of the features in Alteryx to practical use Book Description Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx's features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book. The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx's self-service analytics features, this book will be the perfect companion for you. What you will learn Create efficient workflows with Alteryx to answer complex business questions Learn how to speed up the cleansing, data preparing, and shaping process Blend and join data into a single dataset for self-service analysis Write advanced expressions in Alteryx leading to an optimal workflow for efficient processing of huge data Develop high-quality, data-driven reports to improve consistency in reporting and analysis Explore the flexibility of macros by automating analytic processes Apply predictive analytics from spatial, demographic, and behavioral analysis and quickly publish, schedule Share your workflows and insights with relevant stakeholders Who this book is for This book is for aspiring data professionals who want to learn and implement self-service analytics from scratch, without any coding. Those who have some experience with Alteryx and want to gain more proficiency will also find this book to be useful. A basic understanding of the data science concepts is all you need to get started with this book.

Understand and utilize Java LambdasAbout This Book* Take a deep dive into one of the single most important additions to modern Java* Master Java lambdas, and fully understand functions, classes, and scope.* Improve your programming skills, which will enable you to write cleaner and more dynamic codeWho This Book Is ForLearning Java Lambdas is for developers looking to upgrade their Java skills and familiarize themselves with one of the most important new features of Java. This book is not for absolute beginners and will be more suited to professionals who are already comfortable with Java coding. You should have a basic knowledge of Java before reading this book.What You Will Learn* What a lambda is and how it differs from other Java features* How to use lambdas effectively in your own projects* The use of method references and advanced scoping* The difference between lambdas and closures* The differences in bytecode produced when using lambdasIn DetailIn this short book, we take an in-depth look at lambdas in Java, and their supporting features. The book covers essential topics, such as functional interfaces and type inference, and the key differences between lambdas and closures. You will learn about the background to functional programming and lambdas, before moving on to understanding the basic syntax of lambdas and what differentiates these anonymous functions from standard anonymous classes. Lastly, you'll learn how to invoke lambdas and look at the bytecode generated.After reading this book, you'll understand lambdas in depth, their background, syntax, implementation details, and how and when to use them. You'll also have a clear knowledge of the difference between functions and classes, and why that's relevant to lambdas. This knowledge will enable you to appreciate the improvements to type inference that drive a lot of the new features in modern Java, and will increase your understanding of method references and scoping.Style and approachThis book is a deep dive into one of the core new features of the Java language - Lambdas. It covers them in great details, making sure that you fully understand how lambdas work, and how they can be put to use in your own programs.

Reactive Programming with Java and ReactiveXAbout This Book* Explore the essential tools and operators RxJava provides, and know which situations to use them in* Delve into Observables and Subscribers, the core components of RxJava used for building scalable and performant reactive applications* Delve into the practical implementation of tools to effectively take on complex tasks such as concurrency and backpressureWho This Book Is ForThe primary audience for this book is developers with at least a fundamental mastery of Java.Some readers will likely be interested in RxJava to make programs more resilient, concurrent, and scalable. Others may be checking out reactive programming just to see what it is all about, and to judge whether it can solve any problems they may have.What You Will Learn* Learn the features of RxJava 2 that bring about many significant changes, including new reactive types such as Flowable, Single, Maybe, and Completable* Understand how reactive programming works and the mindset to "think reactively"* Demystify the Observable and how it quickly expresses data and events as sequences* Learn the various Rx operators that transform, filter, and combine data and event sequences* Leverage multicasting to push data to multiple destinations, and cache and replay them* Discover how concurrency and parallelization work in RxJava, and how it makes these traditionally complex tasks trivial to implement* Apply RxJava and Retrolambda to the Android domain to create responsive Android apps with better user experiences* Use RxJava with the Kotlin language to express RxJava more idiomatically with extension functions, data classes, and other Kotlin featuresIn DetailRxJava is a library for composing asynchronous and event-based programs using Observable sequences for the JVM, allowing developers to build robust applications in less time.Learning RxJava addresses all the fundamentals of reactive programming to help readers write reactive code, as well as teach them an effective approach to designing and implementing reactive libraries and applications.Starting with a brief introduction to reactive programming concepts, there is an overview of Observables and Observers, the core components of RxJava, and how to combine different streams of data and events together. You will also learn simpler ways to achieve concurrency and remain highly performant, with no need for synchronization. Later on, we will leverage backpressure and other strategies to cope with rapidly-producing sources to prevent bottlenecks in your application. After covering custom operators, testing, and debugging, the book dives into hands-on examples using RxJava on Android as well as Kotlin.Style and approachThis book will be different from other Rx books, taking an approach that comprehensively covers Rx concepts and practical applications.

Master the principles to make applications robust, scalable and responsiveAbout This Book* Implement concurrent applications using the Java 9 Concurrency API and its new components* Improve the performance of your applications and process more data at the same time, taking advantage of all of your resources* Construct real-world examples related to machine learning, data mining, natural language processing, and moreWho This Book Is ForThis book is for competent Java developers who have basic understanding of concurrency, but knowledge of effective implementation of concurrent programs or usage of streams for making processes more efficient is not requiredWhat You Will Learn* Master the principles that every concurrent application must follow* See how to parallelize a sequential algorithm to obtain better performance without data inconsistencies and deadlocks* Get the most from the Java Concurrency API components* Separate the thread management from the rest of the application with the Executor component* Execute phased-based tasks in an efficient way with the Phaser components* Solve problems using a parallelized version of the divide and conquer paradigm with the Fork / Join framework* Find out how to use parallel Streams and Reactive Streams* Implement the "map and reduce" and "map and collect" programming models* Control the concurrent data structures and synchronization mechanisms provided by the Java Concurrency API* Implement efficient solutions for some actual problems such as data mining, machine learning, and moreIn DetailConcurrency programming allows several large tasks to be divided into smaller sub-tasks, which are further processed as individual tasks that run in parallel. Java 9 includes a comprehensive API with lots of ready-to-use components for easily implementing powerful concurrency applications, but with high flexibility so you can adapt these components to your needs.The book starts with a full description of the design principles of concurrent applications and explains how to parallelize a sequential algorithm. You will then be introduced to Threads and Runnables, which are an integral part of Java 9's concurrency API. You will see how to use all the components of the Java concurrency API, from the basics to the most advanced techniques, and will implement them in powerful real-world concurrency applications.The book ends with a detailed description of the tools and techniques you can use to test a concurrent Java application, along with a brief insight into other concurrency mechanisms in JVM.Style and approachThis is a complete guide that implements real-world examples of algorithms related to machine learning, data mining, and natural language processing in client/server environments. All the examples are explained using a step-by-step approach.

Your road to becoming a Java Ninja begins here!About This Book* This book will teach you to build highly scalable, fast, and secure applications* It covers major concepts introduced with the new version of Java 9, which includes modular programming, HTTP 2.0, API changes, and more* It will guide you with tools, techniques and best practices to enhance application developmentWho This Book Is ForThis book is for enterprise developers and existing Java developers. Basic knowledge of Java would help.What You Will Learn* Write modular Java applications in terms of the newly introduced module system* Migrate existing Java applications to modular ones* Understand how to use the G1 garbage collector in order to leverage the performance of your applications* Leverage the possibilities provided the newly introduced Java shell* Test your application's effectiveness with the JVM harness* See how Java 9 provides support for the http 2.0 standard* Use the new process API* Discover additional enhancements and features provided by Java 9In DetailJava 9 and its new features add to the richness of the language, one of the languages most used by developers to build robust software applications. Java 9 comes with a special emphasis on modularity with its integration with Jigsaw. This would be your one-stop guide to mastering the language.You'll be provided with an overview and explanation of the new features introduced in Java 9 and the importance of the new APIs and enhancements. Some of the new features of Java 9 are ground-breaking and if you are an experienced programmer, you will be able to make your enterprise application leaner by learning these new features. You'll be provided with practical guidance in applying the newly acquired knowledge in regards to Java 9 and further information on future developments of the Java platform. This book will improve your productivity, making your application faster. By learning the best practices in Java, you'll become the "go-to" person in your organization.By the end of the book, you'll not only know the important concepts of Java 9, but you'll also have a nuanced understanding of the important aspects of programming with this great language.Style and approachConcepts and new terminology are explained in simple step-by-step manner. We cover a lot of real-world examples and case studies that will improve your Java productivity. This book covers new features on Java 9 and the much talked about Jigsaw integration.

Become an expert at building and deploying enterprise-grade data applications in JavaAbout This Book* This comprehensive book shows you exactly how you can take your Java data science applications to production seamlessly* Dive deep into analytics, supervised and unsupervised learning, and much more with ease* Explore Java's various libraries to efficiently build and deploy data applications for the enterpriseWho This Book Is ForThis book is for those Java developers who are comfortable with developing applications in Java and are familiar with the basic concepts of data science. This is the go-to book for anyone looking to master the subject using Java. If you are willing to build efficient data applications in your enterprise environment without changing your existing stack, this book is for you!What you will learn* Get a solid understanding of the data processing toolbox available in Java* Explore the data science ecosystem available in Java and other JVM languages* Understand when to use Java and what is best to do outside of Java* Deal with the machine learning task at hand and bring the results directly to production* Get state-of-the-art performance with xgboost and deeplearning4j* Build applications that scale and process large amounts of data in real timeIn DetailJava is the language of choice if you want to bring data science to production, thanks to its stability and rich set of libraries. Major big data solutions including Hadoop are written in Java. This book will teach you how to perform data analysis on big data in a much more sophisticated manner. If you are willing to take your data products to enterprise without changing your stack, this book will tell you how to do it with ease.This book will quickly brush up on what you already know about using Java in data science applications and will then dive quickly into the advanced concepts to implement data science in production. The book covers topics such as advanced data science algorithms, preparing tricky data, advanced clustering, regression, classification, prediction, machine learning, and more.We'll teach you how data science can be used effectively to analyze unstructured data and big data. This book will enable you to tackle the problems of advanced visualization, advanced statistics, scaling data science applications, deploying these applications in production, and many more. You will also learn about natural language processing, real-time analytics, deep learning, and neural networks.

Master the art of implementing scalable microservices in your production environment with easeAbout This Book* Use domain-driven design to build microservices* Use Spring Cloud to use Service Discovery and Registeration* Use Kafka, Avro and Spring Streams for implementing event based microservicesWho This Book Is ForThis book is for Java developers who are familiar with the microservices architecture and now wants to take a deeper dive into effectively implementing microservices at an enterprise level. A reasonable knowledge level and understanding of core microservice elements and applications is expected.What You Will Learn* Use domain-driven design to design and implement microservices* Secure microservices using Spring Security* Learn to develop REST service development* Deploy and test microservices* Troubleshoot and debug the issues faced during development* Learning best practices and common principals about microservicesIn DetailMicroservices are the next big thing in designing scalable, easy-to-maintain applications. It not only makes app development easier, but also offers great flexibility to utilize various resources optimally. If you want to build an enterprise-ready implementation of the microservices architecture, then this is the book for you!Starting off by understanding the core concepts and framework, you will then focus on the high-level design of large software projects. You will gradually move on to setting up the development environment and configuring it before implementing continuous integration to deploy your microservice architecture. Using Spring security, you will secure microservices and test them effectively using REST Java clients and other tools like RxJava 2.0. We'll show you the best patterns, practices and common principals of microservice design and you'll learn to troubleshoot and debug the issues faced during development. We'll show you how to design and implement reactive microservices. Finally, we'll show you how to migrate a monolithic application to microservices based application.By the end of the book, you will know how to build smaller, lighter, and faster services that can be implemented easily in a production environment.Style and approachThis book starts from the basics, including environment setup and provides easy-to-follow steps to implement the sample project using microservices.

Master text-taming techniques and build effective text-processing applications with RAbout This Book- Develop all the relevant skills for building text-mining apps with R with this easy-to-follow guide- Gain in-depth understanding of the text mining process with lucid implementation in the R language- Example-rich guide that lets you gain high-quality information from text dataWho This Book Is ForIf you are an R programmer, analyst, or data scientist who wants to gain experience in performing text data mining and analytics with R, then this book is for you. Exposure to working with statistical methods and language processing would be helpful.What You Will Learn- Get acquainted with some of the highly efficient R packages such as OpenNLP and RWeka to perform various steps in the text mining process- Access and manipulate data from different sources such as JSON and HTTP- Process text using regular expressions- Get to know the different approaches of tagging texts, such as POS tagging, to get started with text analysis- Explore different dimensionality reduction techniques, such as Principal Component Analysis (PCA), and understand its implementation in R- Discover the underlying themes or topics that are present in an unstructured collection of documents, using common topic models such as Latent Dirichlet Allocation (LDA)- Build a baseline sentence completing application- Perform entity extraction and named entity recognition using RIn DetailText Mining (or text data mining or text analytics) is the process of extracting useful and high-quality information from text by devising patterns and trends. R provides an extensive ecosystem to mine text through its many frameworks and packages.Starting with basic information about the statistics concepts used in text mining, this book will teach you how to access, cleanse, and process text using the R language and will equip you with the tools and the associated knowledge about different tagging, chunking, and entailment approaches and their usage in natural language processing. Moving on, this book will teach you different dimensionality reduction techniques and their implementation in R. Next, we will cover pattern recognition in text data utilizing classification mechanisms, perform entity recognition, and develop an ontology learning framework.By the end of the book, you will develop a practical application from the concepts learned, and will understand how text mining can be leveraged to analyze the massively available data on social media.Style and approachThis book takes a hands-on, example-driven approach to the text mining process with lucid implementation in R.

Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.xAbout This Book* Create and customize live graphs, by adding style, color, font to make appealing graphs.* A complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits.* Create timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more.Who This Book Is ForThis book is for anyone interested in data visualization, to get insights from big data with Python and Matplotlib 2.x. With this book you will be able to extend your knowledge and learn how to use python code in order to visualize your data with Matplotlib. Basic knowledge of Python is expected.What You Will Learn* Familiarize with the latest features in Matplotlib 2.x* Create data visualizations on 2D and 3D charts in the form of bar charts, bubble charts, heat maps, histograms, scatter plots, stacked area charts, swarm plots and many more.* Make clear and appealing figures for scientific publications.* Create interactive charts and animation.* Extend the functionalities of Matplotlib with third-party packages, such as Basemap, GeoPandas, Mplot3d, Pandas, Scikit-learn, and Seaborn.* Design intuitive infographics for effective storytelling.In DetailBig data analytics are driving innovations in scientific research, digital marketing, policy-making and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customization.Matplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples.It begins by giving readers the basic know-how on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts.By the end of this book, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This book will guide you to prepare high quality figures for manuscripts and presentations. You will learn to create intuitive info-graphics and reshaping your message crisply understandable.Style and approachStep by step comprehensive guide filled with real world examples.

Kick-start your modular programming journey and gear up for the future of Java developmentAbout This Book* Master design patterns and best practices to build truly modular applications in Java 9* Upgrade your old Java code to Java 9 with ease* Build and run a smooth functioning multi-module application.Who This Book Is ForThis book is written for Java developers who are interested in learning and understanding the techniques and best practices to build modular applications in Java. The book assumes some previous programming experience in Java 8 or earlier, familiarity with the basic Java types such as classes and interfaces, as well as experience in compiling and executing Java programs.What You Will Learn* Get introduced to the concept of modules and modular programming by working on a fully modular Java application* Build and configure your own Java 9 modules* Work with multiple modules and establish inter-module dependencies* Understand and use the principles of encapsulation, readability, and accessibility* Use jlink to generate fully loaded custom runtime images like a pro* Discover the best practices to help you write awesome modules that are a joy to use and maintain* Upgrade your old Java code to use the new Java 9 module systemIn DetailThe Java 9 module system is an important addition to the language that affects the way we design, write, and organize code and libraries in Java. It provides a new way to achieve maintainable code by the encapsulation of Java types, as well as a way to write better libraries that have clear interfaces. Effectively using the module system requires an understanding of how modules work and what the best practices of creating modules are.This book will give you step-by-step instructions to create new modules as well as migrate code from earlier versions of Java to the Java 9 module system. You'll be working on a fully modular sample application and add features to it as you learn about Java modules. You'll learn how to create module definitions, setup inter-module dependencies, and use the built-in modules from the modular JDK. You will also learn about module resolution and how to use jlink to generate custom runtime images.We will end our journey by taking a look at the road ahead. You will learn some powerful best practices that will help you as you start building modular applications. You will also learn how to upgrade an existing Java 8 codebase to Java 9, handle issues with libraries, and how to test Java 9 applications.Style and ApproachThe book is a step-by-step guide to understanding Modularity and building a complete application using a modular design.

Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysisAbout This Book* Use the power of pandas to solve most complex scientific computing problems with ease* Leverage fast, robust data structures in pandas to gain useful insights from your data* Practical, easy to implement recipes for quick solutions to common problems in data using pandasWho This Book Is ForThis book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory.What You Will Learn* Master the fundamentals of pandas to quickly begin exploring any dataset* Isolate any subset of data by properly selecting and querying the data* Split data into independent groups before applying aggregations and transformations to each group* Restructure data into tidy form to make data analysis and visualization easier* Prepare real-world messy datasets for machine learning* Combine and merge data from different sources through pandas SQL-like operations* Utilize pandas unparalleled time series functionality* Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and SeabornIn DetailThis book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way.The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.Many advanced recipes combine several different features across the pandas library to generate results.Style and approachThe author relies on his vast experience teaching pandas in a professional setting to deliver very detailed explanations for each line of code in all of the recipes. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data.

Master over 170 recipes that will help you turn QGIS from a desktop GIS tool into a powerful automated geospatial frameworkAbout This Book- Delve into the undocumented features of the QGIS API- Get a set of user-friendly recipes that can automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes- This book has a complete code upgrade to QGIS 2.18 and 30 new, valuable recipesWho This Book Is ForThis book is for geospatial analysts who want to learn more about automating everyday GIS tasks as well as programmers responsible for building GIS applications. The short, reusable recipes make concepts easy to understand and combine so you can build larger applications that are easy to maintain.What You Will Learn- Use Python and QGIS to produce captivating GIS visualizations and build complex map layouts- Find out how to effectively use the poorly-documented and undocumented features of the QGIS Python API- Automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes- Create, import, and edit geospatial data on disk or in-memory- Change QGIS settings programmatically to control default behavior - Automatically generate PDF map books - Build dynamic forms for field inputIn DetailQGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. Paired with the most efficient scripting language-Python, we can write effective scripts that extend the core functionality of QGIS. Based on version QGIS 2.18, this book will teach you how to write Python code that works with spatial data to automate geoprocessing tasks in QGIS. It will cover topics such as querying and editing vector data and using raster data. You will also learn to create, edit, and optimize a vector layer for faster queries, reproject a vector layer, reduce the number of vertices in a vector layer without losing critical data, and convert a raster to a vector. Following this, you will work through recipes that will help you compose static maps, create heavily customized maps, and add specialized labels and annotations. As well as this, we'll also share a few tips and tricks based on different aspects of QGIS.Style and approachThis book follows a recipe-based problem-solution approach to address and dispel challenges faced when implementing and using QGIS on a regular basis.

Drive value and insight by developing business critical applications with QlikView 12About This Book* Develop your own scalable and maintainable QlikView applications* Learn time-saving techniques for making your QlikView development more efficient* A one-stop guide to developing BI applications with QlikViewWho This Book Is ForThis book is for anyone interested in working with QlikView or who has attended QlikView Developer training. The book caters for all QlikView developers, beginners and experts alike, and anyone who wants to improve their QlikView skills.What You Will Learn* Understand important changes made in QlikView 12* Learn the techniques and best practices to transform data in QlikView via scripts* Load data from disparate sources to build an associative Data Model* Build robust data models and overcome common modeling challenges* Designing data visualization objects to present performance measures with charts and tables* Learn to use dimensions and expressions in QlikView objects* Utilize QlikView's built-in aggregation functions to achieve complex calculations* Create Point In Time reporting and achieving complex calculations using Set Analysis* Create a consistent and interactive user interface* Ensure your QlikView applications and data are protected* Optimize the QlikView Data Model* Constructing a data architecture that supports scalable QlikView deployments* Learn time-saving techniques for making your QlikView development more efficientIn DetailQlikView is one of the most flexible and powerful Business Intelligence platforms around. If you want to build data into your organization, build it around QlikView. Don't get caught in the gap between data and knowledge - find out how QlikView can help you unlock insights and data potential with ease.Whether you're new to QlikView or want to get up to speed with the features and functionality of QlikView, this book starts at a basic level and delves more deeply to demonstrate how to make QlikView work for you, and make it meet the needs of your organization. Using a real-world use-case to highlight the extensive impact of effective business analytics, this book might well be your silver bullet for success.A superb hands-on guide to get you started by exploring the fundamentals of QlikView before learning how to successfully implement it, technically and strategically. You'll learn valuable tips, tricks, and insightful information on loading different types of data into QlikView, and how to model it effectively.You will also learn how to write useful scripts for QlikView to handle potentially complex data transformations in a way that is simple and elegant. From ensuring consistency and clarity in your data models, to techniques for managing expressions using variables, this book makes sure that your QlikView projects are organized in a way that's most productive for you and key stakeholders.Style and approachThis book will help you learn QlikView Development from a basic to a practitioner level using a step-by-step approach. It is smartly built around a practical case study - HighCloud Airlines - to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView.

Master core REST concepts and create RESTful web services in JavaAbout This Book* Build efficient and secure RESTful web APIs in Java..* Design solutions to produce, consume and visualize RESTful web services using WADL, RAML, and Swagger* Familiarize the role of RESTful APIs usage in emerging technology trends like Cloud, IoT, Social Media.Who This Book Is ForIf you are a web developer with a basic understanding of the REST concepts and envisage to get acquainted with the idea of designing and developing RESTful web services, this is the book for you. As all the code samples for the book are written in Java, proficiency in Java is a must.What You Will Learn* Introduce yourself to the RESTful software architectural style and the REST API design principles* Make use of the JSR 353 API, JSR 374 API, JSR 367 API and Jackson API for JSON processing* Build portable RESTful web APIs, making use of the JAX-RS 2.1 API* Simplify API development using the Jersey and RESTEasy extension APIs* Secure your RESTful web services with various authentication and authorization mechanisms* Get to grips with the various metadata solutions to describe, produce, and consume RESTful web services* Understand the design and coding guidelines to build well-performing RESTful APIs* See how the role of RESTful web services changes with emerging technologies and trendsIn DetailRepresentational State Transfer (REST) is a simple yet powerful software architecture style to create lightweight and scalable web services. The RESTful web services use HTTP as the transport protocol and can use any message formats, including XML, JSON(widely used), CSV, and many more, which makes it easily inter-operable across different languages and platforms.This successful book is currently in its 3rd edition and has been used by thousands of developers. It serves as an excellent guide for developing RESTful web services in Java.This book attempts to familiarize the reader with the concepts of REST. It is a pragmatic guide for designing and developing web services using Java APIs for real-life use cases following best practices and for learning to secure REST APIs using OAuth and JWT. Finally, you will learn the role of RESTful web services for future technological advances, be it cloud, IoT or social media.By the end of this book, you will be able to efficiently build robust, scalable, and secure RESTful web services using Java APIs.Style and approachStep-by-step guide to designing and developing robust RESTful web services. Each topic is explained in a simple and easy-to-understand manner with lots of real-life use-cases and their solutions.