Mastering material for dealing with DBA certification exams About This Book ? Prepare yourself for the IBM C2090-600 certification exam ? Cover over 50 Db2 procedures including database design, performance, and security ? Work through over 150 Q&As to gain confidence on each topic Who This Book Is For The IBM Db2 11.1 Certification Guide is an excellent choice for database administrators, architects, and application developers who are keen to obtain certification in Db2. Basic understanding of Db2 is expected in order to get the most out of this guide. What You Will Learn ? Configure and manage Db2 servers, instances, and databases ? Implement Db2 BLU Acceleration and a DB2 pureScale environment ? Create, manage, and alter Db2 database objects ? Use the partitioning capabilities available within Db2 ? Enforce constraint checking with the SET INTEGRITY command ? Utilize the Db2 problem determination (db2pd) and dsmtop tools ? Configure and manage HADR ? Understand how to encrypt data in transit and at rest In Detail IBM Db2 is a relational database management system (RDBMS) that helps you store, analyze, and retrieve data efficiently. This comprehensive book is designed to help you master all aspects of IBM Db2 database administration and prepare you to take and pass IBM's Certification Exams C2090-600. Building on years of extensive experience, the authors take you through all areas covered by the test. The book delves deep into each certification topic: Db2 server management, physical design, business rules implementation, activity monitoring, utilities, high availability, and security. IBM Db2 11.1 Certification Guide provides you with more than 150 practice questions and answers, simulating real certification examination questions. Each chapter includes an extensive set of practice questions along with carefully explained answers. This book will not just prepare you for the C2090-600 exam but also help you troubleshoot day-to-day database administration challenges. Style and approach A comprehensive certification preparation guide for the C2090-600 exam, covering all the topics in greater detail and with sample questions and answers at the end of each chapter.

Combine the power of Apache Spark and Python to build effective big data applications About This Book ? Perform effective data processing, machine learning, and analytics using PySpark ? Overcome challenges in developing and deploying Spark solutions using Python ? Explore recipes for efficiently combining Python and Apache Spark to process data Who This Book Is For The PySpark Cookbook is for you if you are a Python developer looking for hands-on recipes for using the Apache Spark 2.x ecosystem in the best possible way. A thorough understanding of Python (and some familiarity with Spark) will help you get the best out of the book. What You Will Learn ? Configure a local instance of PySpark in a virtual environment ? Install and configure Jupyter in local and multi-node environments ? Create DataFrames from JSON and a dictionary using pyspark.sql ? Explore regression and clustering models available in the ML module ? Use DataFrames to transform data used for modeling ? Connect to PubNub and perform aggregations on streams In Detail Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. The PySpark Cookbook presents effective and time-saving recipes for leveraging the power of Python and putting it to use in the Spark ecosystem. You’ll start by learning the Apache Spark architecture and how to set up a Python environment for Spark. You’ll then get familiar with the modules available in PySpark and start using them effortlessly. In addition to this, you’ll discover how to abstract data with RDDs and DataFrames, and understand the streaming capabilities of PySpark. You’ll then move on to using ML and MLlib in order to solve any problems related to the machine learning capabilities of PySpark and use GraphFrames to solve graph-processing problems. Finally, you will explore how to deploy your applications to the cloud using the spark-submit command. By the end of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive applications. Style and approach This book is a rich collection of recipes that will come in handy when you are working with PySpark Addressing your common and not-so-common pain points, this is a book that you must have on the shelf.

Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios About This Book ? Build efficient deep learning pipelines using the popular Tensorflow framework ? Train neural networks such as ConvNets, generative models, and LSTMs ? Includes projects related to Computer Vision, stock prediction, chatbots and more Who This Book Is For This book is for data scientists, machine learning developers as well as deep learning practitioners, who want to build interesting deep learning projects that leverage the power of Tensorflow. Some understanding of machine learning and deep learning, and familiarity with the TensorFlow framework is all you need to get started with this book. What You Will Learn ? Set up the TensorFlow environment for deep learning ? Construct your own ConvNets for effective image processing ? Use LSTMs for image caption generation ? Forecast stock prediction accurately with an LSTM architecture ? Learn what semantic matching is by detecting duplicate Quora questions ? Set up an AWS instance with TensorFlow to train GANs ? Train and set up a chatbot to understand and interpret human input ? Build an AI capable of playing a video game by itself –and win it! In Detail TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 real-world projects. TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing so, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few. You will also develop systems that perform machine translation, and use reinforcement learning techniques to play games. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently. Style and approach This book contains 10 unique, end-to-end projects covering all aspects of deep learning and their implementations with TensorFlow. Each project will equip you with a unique skillset in training efficient deep learning models, and empower you to implement your own projects more confidently

Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. About This Book ? Analyze your data using R – the most powerful statistical programming language ? Learn how to implement applied statistics using practical use-cases ? Use popular R packages to work with unstructured and structured data Who This Book Is For Budding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book. What You Will Learn ? Gain a thorough understanding of statistical reasoning and sampling theory ? Employ hypothesis testing to draw inferences from your data ? Learn Bayesian methods for estimating parameters ? Train regression, classification, and time series models ? Handle missing data gracefully using multiple imputation ? Identify and manage problematic data points ? Learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization ? Put best practices into effect to make your job easier and facilitate reproducibility In Detail Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax with packages like Rcpp, ggplot2, and dplyr. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with messy data, large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone’s career as a data analyst. Style and approach An easy-to-follow step by step guide which will help you get to grips with real world application of Data Analysis with R

Create next-generation Augmented Reality and Mixed Reality apps with the latest version of Google ARCore About This Book ? Harness the power of the Google’s new augmented reality (AR) platform ARCore to build cutting-edge Augmented reality apps ? Learn core concepts of Environmental Understanding, Immersive Computing, and Motion Tracking with ARCore ? Extend your application by combining ARCore with OpenGL, Machine Learning and more. Who This Book Is For This book is for web and mobile developers who have broad programming knowledge on Java or JavaScript or C# and want to develop Augmented Reality applications with Google ArCore. To follow this book no prior experience with AR development, 3D, or 3D math experience is needed. What You Will Learn ? Build and deploy your Augmented Reality app to the Android, Web, and Unity platforms ? Implement ARCore to identify and visualize objects as point clouds, planes, surfaces, and/or meshes ? Explore advanced concepts of environmental understanding using Google ARCore and OpenGL ES with Java ? Create light levels from ARCore and create a C# script to watch and propagate lighting changes in a scene ? Develop graphics shaders that react to changes in lighting and map the environment to place objects in Unity/C# ? Integrate motion tracking with the Web ARCore API and Google Street View to create a combined AR/VR experience In Detail Are you a mobile developer or web developer who wants to create immersive and cool Augmented Reality apps with the latest Google ARCore platform? If so, this book will help you jump right into developing with ARCore and will help you create a step by step AR app easily. This book will teach you how to implement the core features of ARCore starting from the fundamentals of 3D rendering to more advanced concepts such as lighting, shaders, Machine Learning, and others. We’ll begin with the basics of building a project on three platforms: web, Android, and Unity. Next, we’ll go through the ARCore concepts of motion tracking, environmental understanding, and light estimation. For each core concept, you’ll work on a practical project to use and extend the ARCore feature, from learning the basics of 3D rendering and lighting to exploring more advanced concepts. You’ll write custom shaders to light virtual objects in AR, then build a neural network to recognize the environment and explore even grander applications by using ARCore in mixed reality. At the end of the book, you’ll see how to implement motion tracking and environment learning, create animations and sounds, generate virtual characters, and simulate them on your screen. Style and approach Practical examples that will take you through the basics of ARcore and teach you how to build an app using it.

Text processing and pattern matching simplified About This Book ? Master the fastest and most elegant big data munging language ? Implement text processing and pattern matching using the advanced features of AWK and GAWK ? Implement debugging and inter-process communication using GAWK Who This Book Is For This book is for developers or analysts who are inclined to learn how to do text processing and data extraction in a Unix-like environment. Basic understanding of Linux operating system and shell scripting will help you to get the most out of the book. What You Will Learn ? Create and use different expressions and control flow statements in AWK ? Use Regular Expressions with AWK for effective text-processing ? Use built-in and user-defined variables to write AWK programs ? Use redirections in AWK programs and create structured reports ? Handle non-decimal input, 2-way inter-process communication with Gawk ? Create small scripts to reformat data to match patterns and process texts In Detail AWK is one of the most primitive and powerful utilities which exists in all Unix and Unix-like distributions. It is used as a command-line utility when performing a basic text-processing operation, and as programming language when dealing with complex text-processing and mining tasks. With this book, you will have the required expertise to practice advanced AWK programming in real-life examples. The book starts off with an introduction to AWK essentials. You will then be introduced to regular expressions, AWK variables and constants, arrays and AWK functions and more. The book then delves deeper into more complex tasks, such as printing formatted output in AWK, control flow statements, GNU's implementation of AWK covering the advanced features of GNU AWK, such as network communication, debugging, and inter-process communication in the GAWK programming language which is not easily possible with AWK. By the end of this book, the reader will have worked on the practical implementation of text processing and pattern matching using AWK to perform routine tasks. Style and approach An easy-to-follow, step by step guide which will help you get to grips with real-world applications of AWK programming.

Learn how to apply a test-driven development process by building ready C# 7 and .NET Core applications. About This Book ? Create tests to quickly detect and resolve issues when writing portable code ? Uncover code integration issues that improve code quality using continuous integration ? Set up and use data-driven unit testing to verify your code Who This Book Is For This book is for .NET developers who would like to build efficient applications by implementing principles of test-driven development. C# programming and working knowledge of VS is assumed. What You Will Learn ? Write flexible, maintainable, and verifiable code for .NET Core ? Write testable code using SOLID principles and dependency injections ? Recognize the characteristics of a good unit test ? Structure and group your unit test ? Use mock objects to handle dependencies ? Set up an end-to-end continuous integration process In Detail This book guides developers to create robust, production-ready C# 7 and .NET Core applications through the practice of test-driven development process. In C# and .NET Core Test-Driven Development, you will learn the different stages of the TDD life cycle, basics of TDD, best practices, and anti-patterns. It will teach you how to create an ASP.NET Core MVC sample application, write testable code with SOLID principles and set up a dependency injection for your sample application. Next, you will learn the xUnit testing framework and learn how to use its attributes and assertions. You’ll see how to create data-driven unit tests and mock dependencies in your code. You will understand the difference between running and debugging your tests on .NET Core on LINUX versus Windows and Visual Studio. As you move forward, you will be able to create a healthy continuous integration process for your sample application using GitHub, TeamCity, Cake, and Microsoft VSTS. By the end of this book, you will have learned how to write clean and robust code through the effective practice of TDD, set up CI build steps to test and build applications as well as how to package application for deployment on NuGet. Style and approach The book explores the concepts of test driven development in depth so readers can apply these proven techniques to build sophisticated software with C# and .NET.

Start building your very own mobile apps with this comprehensive introduction to Swift and object-oriented programming About This Book ? A complete beginner's guide to Swift programming language ? Understand core Swift programming concepts and techniques for creating popular iOS apps ? Start your journey toward building mobile app development with this practical guide Who This Book Is For This book is for beginners who are new to Swift or may have some preliminary knowledge of Objective-C. If you are interested in learning and mastering Swift in Apple’s ecosystem, namely mobile development, then this book is for you. What You Will Learn ? Become a pro at iOS development by creating simple-to-complex iOS mobile applications ? Master Playgrounds, a unique and intuitive approach to teaching Xcode ? Tackle the basics, including variables, if clauses, functions, loops and structures, classes, and inheritance ? Model real-world objects in Swift and have an in-depth understanding of the data structures used, along with OOP concepts and protocols ? Use CocoaPods, an open source Swift package manager to ease your everyday developer requirements ? Develop a wide range of apps, from a simple weather app to an Instagram-like social app ? Get ahead in the industry by learning how to use third-party libraries efficiently in your apps In Detail Swift Language is now more powerful than ever; it has introduced new ways to solve old problems and has gone on to become one of the fastest growing popular languages. It is now a de-facto choice for iOS developers and it powers most of the newly released and popular apps. This practical guide will help you to begin your journey with Swift programming through learning how to build iOS apps. You will learn all about basic variables, if clauses, functions, loops, and other core concepts; then structures, classes, and inheritance will be discussed. Next, you’ll dive into developing a weather app that consumes data from the internet and presents information to the user. The final project is more complex, involving creating an Instagram like app that integrates different external libraries. The app also uses CocoaPods as its package dependency manager, to give you a cutting-edge tool to add to your skillset. By the end of the book, you will have learned how to model real-world apps in Swift. Style and approach This book has a very practical and hands-on approach towards teaching the user the new and advanced features of Swift.

Automate data and model pipelines for faster machine learning applications About This Book ? Build automated modules for different machine learning components ? Understand each component of a machine learning pipeline in depth ? Learn to use different open source AutoML and feature engineering platforms Who This Book Is For If you’re a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you. You’ll also find this book useful if you’re an ML engineer or data professional interested in developing quick machine learning pipelines for your projects. Prior exposure to Python programming will help you get the best out of this book. What You Will Learn ? Understand the fundamentals of Automated Machine Learning systems ? Explore auto-sklearn and MLBox for AutoML tasks ? Automate your preprocessing methods along with feature transformation ? Enhance feature selection and generation using the Python stack ? Assemble individual components of ML into a complete AutoML framework ? Demystify hyperparameter tuning to optimize your ML models ? Dive into Machine Learning concepts such as neural networks and autoencoders ? Understand the information costs and trade-offs associated with AutoML In Detail AutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners’ work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible. In this book, you’ll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more. In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning. By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you’ll be able to incorporate automation tasks using practical datasets. You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions. Style and approach Step by step approach to understand how to automate your machine learning tasks

The first stop for your security needs when using Go, covering host, network, and cloud security for ethical hackers and defense against intrusion About This Book ? First introduction to Security with Golang ? Adopting a Blue Team/Red Team approach ? Take advantage of speed and inherent safety of Golang ? Works as an introduction to security for Golang developers ? Works as a guide to Golang security packages for recent Golang beginners Who This Book Is For Security with Go is aimed at developers with basics in Go to the level that they can write their own *s and small programs without difficulty. Readers should be familiar with security concepts, and familiarity with Python security applications and libraries is an advantage, but not a necessity. What You Will Learn ? Learn the basic concepts and principles of secure programming ? Write secure Golang programs and applications ? Understand classic patterns of attack ? Write Golang *s to defend against network-level attacks ? Learn how to use Golang security packages ? Apply and explore cryptographic methods and packages ? Learn the art of defending against brute force attacks ? Secure web and cloud applications In Detail Go is becoming more and more popular as a language for security experts. Its wide use in server and cloud environments, its speed and ease of use, and its evident capabilities for data analysis, have made it a prime choice for developers who need to think about security. Security with Go is the first Golang security book, and it is useful for both blue team and red team applications. With this book, you will learn how to write secure software, monitor your systems, secure your data, attack systems, and extract information. Defensive topics include cryptography, forensics, packet capturing, and building secure web applications. Offensive topics include brute force, port scanning, packet injection, web scraping, social engineering, and post exploitation techniques. Style and approach John Leon has divided the book into two parts which present the team playing defense against anyone breaking into servers and the team playing (ethical!) offense to perform said attacks. All Go *s and programs are workable solutions that can be easily understood and expanded upon by anyone with a system administrator’s level view of networking and cloud-based systems. Golang developers will profit from a swift and incisive approach to security.

A comprehensive, easy-to-follow guide to creating complete Node apps and understanding how to build, deploy, and test your own apps. About This Book ? Entirely project-based and practical ? Explains the "Why" of Node.js features, not just the "how", providing you with a deep understanding and enabling you to easily apply concepts in your own applications ? Covers the full range of technologies around Node.js – NPM, version control with Git, and much more Who This Book Is For This book targets anyone looking to launch their own Node applications, switch careers, or freelance as a Node developer. You should have a basic understanding of JavaScript in order to follow this course. What You Will Learn ? Learn the fundamentals of Node ? Build apps that respond to user input ? Master working with servers ? Learn how to test and debug applications ? Deploy and update your apps in the real world ? Create responsive asynchronous web applications In Detail Learning Node.js Development is a practical, project-based book that provides you with all you need to get started as a Node.js developer. Node is a ubiquitous technology on the modern web, and an essential part of any web developers' toolkit. If you are looking to create real-world Node applications, or you want to switch careers or launch a side project to generate some extra income, then you're in the right place. This book has been written around a single goal—turning you into a professional Node developer capable of developing, testing, and deploying real-world production applications. Learning Node.js Development is built from the ground up around the latest version of Node.js (version 9.x.x). You'll be learning all the cutting-edge features available only in the latest software versions. This book cuts through the mass of information available around Node and delivers the essential skills that you need to become a Node developer. It takes you through creating complete apps and understanding how to build, deploy, and test your own Node apps. It maps out everything in a comprehensive, easy-to-follow package designed to get you up and running quickly. Style and approach This book is entirely project-based. From the very beginning you'll be programming every single app and completing various challenges designed to help test and reinforce what you've learned. There's no copying-and-pasting here. This book is about writing code and building projects.

Accelerate your enterprise search engine and bring relevancy in your search analytics About This Book ? A practical guide in building expertise with Indexing, Faceting, Clustering and Pagination ? Master the management and administration of Enterprise Search Applications and services seamlessly ? Handle multiple data inputs such as JSON, xml, pdf, doc, xls,ppt, csv and much more. Who This Book Is For The book would rightly appeal to developers, software engineers, data engineers and database architects who are building or seeking to build enterprise-wide effective search engines for business intelligence. Prior experience of Apache Solr or Java programming is must to take the best of this book. What You Will Learn ? Design schema using schema API to access data in the database ? Advance querying and fine-tuning techniques for better performance ? Get to grips with indexing using Client API ? Set up a fault tolerant and highly available server with newer distributed capabilities, SolrCloud ? Explore Apache Tika to upload data with Solr Cell ? Understand different data operations that can be done while indexing ? Master advanced querying through Velocity Search UI, faceting and Query Re-ranking, pagination and spatial search ? Learn to use JavaScript, Python, SolrJ and Ruby for interacting with Solr In Detail Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites. To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs. By the end of this book, you will gain advanced proficiency to build out-of-box smart search solutions for your enterprise demands. Style and approach An advance guide which will take you through complex problems with solutions along with varied approaches to tackle your business needs by using Apache solr 7.x

A hands-on guide to mastering Azure cloud design patterns and best practices. About This Book ? Master architectural design patterns in Azure. ? Get hands-on with implementing design patterns. ? Implement best practices for improving efficiency and security Who This Book Is For This book is targeted at cloud architects and cloud solution providers who are looking for an extensive guide to implementing different patterns for the deployment and maintenance of services in Microsoft Azure. Prior experience with Azure is required as the book is completely focused on design patterns. What You Will Learn ? Learn to organize Azure access ? Design the core areas of the Azure Execution Model ? Work with storage and data management ? Create a health endpoint monitoring pattern ? Automate early detection of anomalies ? Identify and secure Azure features In Detail A well designed cloud infrastructure covers factors such as consistency, maintenance, simplified administration and development, and reusability. Hence it is important to choose the right architectural pattern as it has a huge impact on the quality of cloud-hosted services. This book covers all Azure design patterns and functionalities to help you build your cloud infrastructure so it fits your system requirements. This book initially covers design patterns that are focused on factors such as availability and data management/monitoring. Then the focus shifts to complex design patterns such as multitasking, improving scalability, valet keys, and so on, with practical use cases. The book also supplies best practices to improve the security and performance of your cloud. By the end of this book, you will thoroughly be familiar with the different design and architectural patterns available with Windows Azure and capable of choosing the best pattern for your system. Style and approach This step-by-step guide will help you master Azure design patterns and functionalities and also supplies best practices towards the end of the book.

Develop efficient and modern full-stack applications using Spring Boot and React 16 About This Book ? Develop resourceful backends using Spring Boot and faultless frontends using React. ? Explore the techniques involved in creating a full-stack app by going through a methodical approach. ? Learn to add CRUD functionalities and use Material UI in the user interface to make it more user-friendly. Who This Book Is For Java developers who are familiar with Spring, but have not yet built full-stack applications What You Will Learn ? Create a RESTful web service with Spring Boot ? Understand how to use React for frontend programming ? Gain knowledge of how to create unit tests using JUnit ? Discover the techniques that go into securing the backend using Spring Security ? Learn how to use Material UI in the user interface to make it more user-friendly ? Create a React app by using the Create React App starter kit made by Facebook In Detail Apart from knowing how to write frontend and backend code, a full-stack engineer has to tackle all the problems that are encountered in the application development life cycle, starting from a simple idea to UI design, the technical design, and all the way to implementing, testing, production, deployment, and monitoring. This book covers the full set of technologies that you need to know to become a full-stack web developer with Spring Boot for the backend and React for the frontend. This comprehensive guide demonstrates how to build a modern full-stack application in practice. This book will teach you how to build RESTful API endpoints and work with the data access Layer of Spring, using Hibernate as the ORM. As we move ahead, you will be introduced to the other components of Spring, such as Spring Security, which will teach you how to secure the backend. Then, we will move on to the frontend, where you will be introduced to React, a modern JavaScript library for building fast and reliable user interfaces, and its app development environment and components. You will also create a Docker container for your application. Finally, the book will lay out the best practices that underpin professional full-stack web development. Style and approach A step-by-step guide to building full-stack applications along with best practices to make your Full-stack development journey easier

Create various design patterns to master the art of solving problems using Java About This Book ? This book demonstrates the shift from OOP to functional programming and covers reactive and functional patterns in a clear and step-by-step manner ? All the design patterns come with a practical use case as part of the explanation, which will improve your productivity ? Tackle all kinds of performance-related issues and streamline your development Who This Book Is For This book is for those who are familiar with Java development and want to be in the driver’s seat when it comes to modern development techniques. Basic OOP Java programming experience and elementary familiarity with Java is expected. What You Will Learn ? Understand the OOP and FP paradigms ? Explore the traditional Java design patterns ? Get to know the new functional features of Java ? See how design patterns are changed and affected by the new features ? Discover what reactive programming is and why is it the natural augmentation of FP ? Work with reactive design patterns and find the best ways to solve common problems using them ? See the latest trends in architecture and the shift from MVC to serverless applications ? Use best practices when working with the new features In Detail Having a knowledge of design patterns enables you, as a developer, to improve your code base, promote code reuse, and make the architecture more robust. As languages evolve, new features take time to fully understand before they are adopted en masse. The mission of this book is to ease the adoption of the latest trends and provide good practices for programmers. We focus on showing you the practical aspects of smarter coding in Java. We'll start off by going over object-oriented (OOP) and functional programming (FP) paradigms, moving on to describe the most frequently used design patterns in their classical format and explain how Java’s functional programming features are changing them. You will learn to enhance implementations by mixing OOP and FP, and finally get to know about the reactive programming model, where FP and OOP are used in conjunction with a view to writing better code. Gradually, the book will show you the latest trends in architecture, moving from MVC to microservices and serverless architecture. We will finish off by highlighting the new Java features and best practices. By the end of the book, you will be able to efficiently address common problems faced while developing applications and be comfortable working on scalable and maintainable projects of any size. Style and approach This book explains design patterns in a step-by-step manner with clear and concise code explanations.

Válaszok a nap mint nap el?forduló gyakorlati iratkezelési kérdésekre! Hogyan feleljünk meg a jogszabályoknak? Mik azok a SZE?SZ-?k és milyen el?ny?kkel jár az alkalmazásuk? Mi a kül?nbség a digitális és az elektronikus aláírás k?z?tt? Mikor javasolt a vonalkódos digitalizálás használata? Mire kell figyelnem egy iratkezel? rendszer bevezetésénél? ?Az egységes iratkezelés k?zelmúltban bet?lt?tt 10. évfordulója az ágazat felel?s vezet?it és munkatársait is visszatekintésre, ?sszegzésre és a j?v?re irányuló útkeresésre ?szt?nzi. Remek segédeszk?z ehhez e kiadvány, ami professzionális módon foglalja ?ssze az iratkezelés napjainkban aktuális témáit, problémáit. Bízom benne, hogy mindennapi munkájuk során az iratkezel?i állomány, az iratkezelésért felel?s szervezeti egységek vezet?i gyakran kezükbe veszik majd és ?sorvezet?ként” alkalmazzák. Kovács Rezs? – Belügyminisztérium, Iratkezelési és Adatvédelmi F?osztály, f?osztályvezet? ?Lehet-e izgalmasabb annál, mint amikor kit?n? szakemberek vallanak munkájukról, annak jogi és természetes k?rnyezetér?l, a fejl?dés irányairól? A válogatott fejezetek az iratkezelés-, az elektronizálás- és az elektronikus iratkezelés ábécéjének foglalatát adják olyan szerz?k tollából, akik maguk is jártasak a témában és végigjárták annak útveszt?it.” Surányiné dr. Temesi Mária - K?zigazgatási és Elektronikus K?zszolgáltatások K?zponti Hivatala, Kormányzati K?zponti ?rkeztet? F?osztály, f?osztályvezet?

This book is a stepbystep projectbased guide that aims to teach you how to develop your own web applications and services with WebRTC in a concise, practical manner. This book will be perfect for you if you are a WebRTC developer and want to build complex WebRTC applications and projects, or if you want to gain practical experience in developing web applications, advanced WebRTC media handling, server and client signaling, call flows, or thirdparty integration. It is essential to have prior knowledge of building simple applications using WebRTC.

A practical, cookbook style with numerous chapters and recipes explaining the penetration testing. The cookbook-style recipes allow you to go directly to your topic of interest if you are an expert using this book as a reference, or to follow topics throughout a chapter to gain in-depth knowledge if you are a beginner.This book is ideal for anyone who wants to get up to speed with Kali Linux. It would also be an ideal book to use as a reference for seasoned penetration testers.

A task-based guide that provides solutions to real-world test automation problems. This book is intended for web development professionals who want to integrate PhantomJS into their development and testing workflows. If you are a web developer looking to run automated unit tests while you work, or perhaps you are a QA engineer looking for a fast test automation utility, then this book is perfect for you. Some prior knowledge of JavaScript would be helpful.

A fascinating exploration of how computer algorithms can be applied to our everyday lives. What should we do, or leave undone, in a day or a lifetime Exploring how insights from computer algorithms can be applied to our everyday lives, ‘Algorithms To Live By’ helps to solve common decision-making problems and illuminate the workings of the human mind. When should you switch between different tasks, and how many tasks should you take on in the first place How much messiness should you accept What balance of new activities and familiar favourites is the most fulfilling When computers face constraints of time and space, they too must untangle very human questions: how to have better hunches, when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. And the solutions they’ve found have much to teach us. Acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms developed for computers can be applied from finding your spouse to finding a parking spot, from organizing your inbox to understanding the workings of memory. Where you have a dilemma, they have a rule, and each fascinating algorithm turns the wisdom of computer science into strategies for human living.

Explore powerful R packages to create predictive models using ensemble methods Key Features *Implement machine learning algorithms to build ensemble-efficient models *Explore powerful R packages to create predictive models using ensemble methods *Learn to build ensemble models on large datasets using a practical approach Book Description Ensemble techniques are used for combining two or more similar or dissimilar machine learning algorithms to create a stronger model. Such a model delivers superior prediction power and can give your datasets a boost in accuracy. Hands-On Ensemble Learning with R begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble techniques – bagging, random forest, and boosting – then you'll learn how they can be used to provide greater accuracy on large datasets using popular R packages. You will learn how to combine model predictions using different machine learning algorithms to build ensemble models. In addition to this, you will explore how to improve the performance of your ensemble models. By the end of this book, you will have learned how machine learning algorithms can be combined to reduce common problems and build simple efficient ensemble models with the help of real-world examples. What you will learn *Carry out an essential review of re-sampling methods, bootstrap, and jackknife *Explore the key ensemble methods: bagging, random forests, and boosting *Use multiple algorithms to make strong predictive models *Enjoy a comprehensive treatment of boosting methods *Supplement methods with statistical tests, such as ROC *Walk through data structures in classification, regression, survival, and time series data *Use the supplied R code to implement ensemble methods *Learn stacking method to combine heterogeneous machine learning models Who this book is for This book is for you if you are a data scientist or machine learning developer who wants to implement machine learning techniques by building ensemble models with the power of R. You will learn how to combine different machine learning algorithms to perform efficient data processing. Basic knowledge of machine learning techniques and programming knowledge of R would be an added advantage.