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Learn Scala Programming: A comprehensive guide covering functional and reactive programming with Scala 2.13, Akka, and Lagom
by Slava SchmidtA step-by-step guide in building high-performance scalable applications with the latest features of Scala.Key FeaturesDevelop a strong foundation in functional programming and Scala's Standard Library (STL)Get a detailed coverage of Lightbend Lagom—the latest microservices framework from LightbendUnderstand the Akka framework and learn event-based Programming with Scala Book DescriptionToday’s Scala is quite different from its earlier versions. The second version of the language is more than twelve years old and has undergone multiple changes related to supported features and library implementation. Scala 2.13, with its main focus on modularizing standard library and simplifying collections, brings around such a change one more time. This book addresses both technical and architectural changes by providing a comprehensive guide to the redesigned standard library and collections as well as covering in-depth type system and first-level support for functions. It will teach you how to leverage implicits as a primary mechanism for building type classes and looks at different ways to test Scala code. You will learn about abstract building blocks used in functional programming, giving understanding sufficient to pick up and use any existing functional programming library out there. The book will explore reactive programming by covering the Akka framework and reactive streams. Finally, 2 definitive projects will help you will build microservices and teach you how to implement them with Scala and Lagom framework.What you will learnAcquaint yourself with the new standard library of Scala 2.13Get to grips with the Grok functional paradigmsGet familiar with type system to express domain constraintsUnderstand the actor model and different Akka librariesGrasp the concept of building microservices using Lagom frameworkDeep dive into property-based testing and its practical applicationsWho this book is forThis book is for beginner to intermediate level Scala developers who would like to advance and gain knowledge of the intricacies of the Scala language, expand their functional programming tools, and explore actor-based concurrency models.
Vue.js 2 Design Patterns and Best Practices: Build enterprise-ready, modular Vue.js applications with Vuex and Nuxt
by Paul HallidayBecome an expert Vue developer by understanding design patterns and the component architecture of Vue.js to write clean and maintainable codeKey FeaturesCraft highly modular applications by exploring design patterns and the component architecture of Vue.jsEnforce a Flux-like application architecture in your Vue.js applications with VuexEasy-to-follow examples that can be used to create reusable code and extensible designsBook DescriptionVue.js 2 Design Patterns and Best Practices starts by comparing Vue.js with other frameworks and setting up the development environment for your application, and gradually moves on to writing and styling clean, maintainable, and reusable Vue.js components that can be used across your application. Further on, you'll look at common UI patterns, Vue form submission, and various modifiers such as lazy binding, number typecasting, and string trimming to create better UIs. You will also explore best practices for integrating HTTP into Vue.js applications to create an application with dynamic data. Routing is a vitally important part of any SPA, so you will focus on the vue-router and explore routing a user between multiple pages. Next, you'll also explore state management with Vuex, write testable code for your application, and create performant, server-side rendered applications with Nuxt. Toward the end, we'll look at common antipatterns to avoid, saving you from a lot of trial and error and development headaches.By the end of this book, you'll be on your way to becoming an expert Vue developer who can leverage design patterns to efficiently architect the design of your application and write clean and maintainable code.What you will learnUnderstand the theory and patterns of Vue.jsBuild scalable and modular Vue.js applicationsTake advantage of Vuex for reactive state managementCreate single page applications with vue-routerUse Nuxt for FAST server-side rendered Vue applicationsConvert your application to a Progressive Web App (PWA) and add ServiceWorkers and offline supportBuild your app with Vue.js by following best practices and explore the common anti-patterns to avoidWho this book is forThis book is for Vue developers who are familiar with framework design principles and utilize commonly found design patterns in developing web applications.
Implementing AWS: Leverage AWS features to build highly secure, fault-tolerant, and scalable cloud environments
by Udita Gupta Lucas Chan Rowan Udell Yohan WadiaWork through exciting recipes to administer your AWS cloud Key Features Build secure environments using AWS components and services Explore core AWS features with real-world applications and best practices Design and build Lambda functions using real-world examples Book Description With this Learning Path, you'll explore techniques to easily manage applications on the AWS cloud. You'll begin with an introduction to serverless computing, its advantages, and the fundamentals of AWS. The following chapters will guide you on how to manage multiple accounts by setting up consolidated billing, enhancing your application delivery skills, with the latest AWS services such as CodeCommit, CodeDeploy, and CodePipeline to provide continuous delivery and deployment, while also securing and monitoring your environment's workflow. It'll also add to your understanding of the services AWS Lambda provides to developers. To refine your skills further, it demonstrates how to design, write, test, monitor, and troubleshoot Lambda functions. By the end of this Learning Path, you'll be able to create a highly secure, fault-tolerant, and scalable environment for your applications. This Learning Path includes content from the following Packt products: AWS Administration: The Definitive Guide, Second Edition by Yohan Wadia AWS Administration Cookbook by Rowan Udell, Lucas Chan Mastering AWS Lambda by Yohan Wadia, Udita Gupta What you will learn Explore the benefits of serverless computing and applications Deploy apps with AWS Elastic Beanstalk and Amazon Elastic File System Secure environments with AWS CloudTrail, AWSConfig, and AWS Shield Run big data analytics with Amazon EMR and Amazon Redshift Back up and safeguard data using AWS Data Pipeline Create monitoring and alerting dashboards using CloudWatch Effectively monitor and troubleshoot serverless applications with AWS Design serverless apps via AWS Lambda, DynamoDB, and API Gateway Who this book is for This Learning Path is specifically designed for IT system and network administrators, AWS architects, and DevOps engineers who want to effectively implement AWS in their organization and easily manage daily activities. Familiarity with Linux, web services, cloud computing platforms, virtualization, networking, and other administration-related tasks will assist in understanding the concepts in the book. Prior hands-on experience with AWS core services such as EC2, IAM, S3, and programming languages, such as Node.Js, Java, and C#, will also prove beneficial.
Deep Learning with TensorFlow - Second Edition: Explore Neural Networks And Build Intelligent Systems With Python, 2nd Edition
by Giancarlo Zaccone Rezaul Karim<P><P>Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow. <P><P>Key Features <P><P>Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow <P><P>Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide <P><P>Gain real-world contextualization through some deep learning problems concerning research and application <P><P>Book Description <P><P>Deep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks. <P><P>This book is conceived for developers, data analysts, machine learning practitioners and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. <P><P>Throughout the book, you'll learn how to develop deep learning applications for machine learning systems using Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Factorization Machines. Discover how to attain deep learning programming on GPU in a distributed way. <P><P>You'll come away with an in-depth knowledge of machine learning techniques and the skills to apply them to real-world projects. <P><P>What you will learn <P><P>Apply deep machine intelligence and GPU computing with TensorFlow <P><P>Access public datasets and use TensorFlow to load, process, and transform the data <P><P>Discover how to use the high-level TensorFlow API to build more powerful applications <P><P>Use deep learning for scalable object detection and mobile computing <P><P>Train machines quickly to learn from data by exploring reinforcement learning techniques <P><P>Explore active areas of deep learning research and applications <P><P>Who This Book Is For <P><P>The book is for people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.
Building Applications with Spring 5 and Vue.js 2: Build a modern, full-stack web application using Spring Boot and Vuex
by James J. YeBecome efficient in both frontend and backend web development with Spring and VueKey FeaturesConnect application’s frontend and backend with Vue, Vuex, and Spring BootLeverage the latest web standards to enhance code performance, readability, and cross-compatibilityBuild secure full-stack web applications with Spring SecurityBook DescriptionBuilding Applications with Spring 5 and Vue.js 2, with its practical approach, helps you become a full-stack web developer. As well as knowing how to write frontend and backend code, a developer has to tackle all problems encountered in the application development life cycle – starting from the simple idea of an application, to the UI and technical designs, and all the way to implementation, testing, production deployment, and monitoring. With the help of this book, you'll get to grips with Spring 5 and Vue.js 2 as you learn how to develop a web application. From the initial structuring to full deployment, you’ll be guided at every step of developing a web application from scratch with Vue.js 2 and Spring 5. You’ll learn how to create different components of your application as you progress through each chapter, followed by exploring different tools in these frameworks to expedite your development cycle. By the end of this book, you’ll have gained a complete understanding of the key design patterns and best practices that underpin professional full-stack web development.What you will learnAnalyze requirements and design data modelsDevelop a single-page application using Vue.js 2 and Spring 5Practice concept, logical, and physical data modelingDesign, implement, secure, and test RESTful API Add test cases to improve reliability of an applicationMonitor and deploy your application to productionWho this book is forBuilding Applications with Spring 5.0 and Vue.js 2.0 is for you if you are developer who is new to Vue.js or Spring. It is assumed that you have some knowledge of HTML, CSS, and Java.
scikit-learn: Machine Learning Simplified
by Raul Garreta Guillermo Moncecchi Trent Hauck Gavin HackelingImplement scikit-learn into every step of the data science pipeline About This Book • Use Python and scikit-learn to create intelligent applications • Discover how to apply algorithms in a variety of situations to tackle common and not-so common challenges in the machine learning domain • A practical, example-based guide to help you gain expertise in implementing and evaluating machine learning systems using scikit-learn Who This Book Is For If you are a programmer and want to explore machine learning and data-based methods to build intelligent applications and enhance your programming skills, this is the course for you. No previous experience with machine-learning algorithms is required. What You Will Learn • Review fundamental concepts including supervised and unsupervised experiences, common tasks, and performance metrics • Classify objects (from documents to human faces and flower species) based on some of their features, using a variety of methods from Support Vector Machines to Naive Bayes • Use Decision Trees to explain the main causes of certain phenomena such as passenger survival on the Titanic • Evaluate the performance of machine learning systems in common tasks • Master algorithms of various levels of complexity and learn how to analyze data at the same time • Learn just enough math to think about the connections between various algorithms • Customize machine learning algorithms to fit your problem, and learn how to modify them when the situation calls for it • Incorporate other packages from the Python ecosystem to munge and visualize your dataset • Improve the way you build your models using parallelization techniques In Detail Machine learning, the art of creating applications that learn from experience and data, has been around for many years. Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility; moreover, within the Python data space, scikit-learn is the unequivocal choice for machine learning. The course combines an introduction to some of the main concepts and methods in machine learning with practical, hands-on examples of real-world problems. The course starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets. You will learn to incorporate machine learning in your applications. Ranging from handwritten digit recognition to document classification, examples are solved step-by-step using scikit-learn and Python. By the end of this course you will have learned how to build applications that learn from experience, by applying the main concepts and techniques of machine learning. Style and Approach Implement scikit-learn using engaging examples and fun exercises, and with a gentle and friendly but comprehensive "learn-by-doing" approach. This is a practical course, which analyzes compelling data about life, health, and death with the help of tutorials. It offers you a useful way of interpreting the data that's specific to this course, but that can also be applied to any other data. This course is designed to be both a guide and a reference for moving beyond the basics of scikit-learn.
Mastering Apache Solr 7.x: An expert guide to advancing, optimizing, and scaling your enterprise search
by Dharmesh Vasoya Chintan Mehta Sandeep NairAccelerate your enterprise search engine and bring relevancy in your search analytics Key Features 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. Book Description 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. 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 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.
Hands-On Functional Programming in Rust: Build modular and reactive applications with functional programming techniques in Rust 2018
by Andrew JohnsonExplore the support Rust offers for creating functional applications in Rust. Learn about various design patterns, implementing concurrency, metaprogramming, and so on in the processKey FeaturesLearn generics, organization, and design patterns in functional programmingModularize your applications and make them highly reusable and testable using functional design patternsGet familiar with complex concepts such as metaprogramming, concurrency, and immutabilityBook DescriptionFunctional programming allows developers to divide programs into smaller, reusable components that ease the creation, testing, and maintenance of software as a whole. Combined with the power of Rust, you can develop robust and scalable applications that fulfill modern day software requirements. This book will help you discover all the Rust features that can be used to build software in a functional way.We begin with a brief comparison of the functional and object-oriented approach to different problems and patterns. We then quickly look at the patterns of control flow, data the abstractions of these unique to functional programming. The next part covers how to create functional apps in Rust; mutability and ownership, which are exclusive to Rust, are also discussed. Pure functions are examined next and you'll master closures, their various types, and currying. We also look at implementing concurrency through functional design principles and metaprogramming using macros. Finally, we look at best practices for debugging and optimization. By the end of the book, you will be familiar with the functional approach of programming and will be able to use these techniques on a daily basis.What you will learnHow Rust supports the use of basic functional programming principlesUse functional programming to handle concurrency with eleganceRead and interpret complex type signatures for types and functionsImplement powerful abstractions using meta programming in RustCreate quality code formulaically using Rust's functional design patternsMaster Rust's complex ownership mechanisms particularly for mutabilityWho this book is forThis book is for Rust developers who are comfortable with the language and now want to improve their coding abilities by learning advanced functional techniques to enhance their skillset and create robust and testable apps.
Machine Learning Quick Reference: Quick and essential machine learning hacks for training smart data models
by Rahul KumarThis book aims at giving machine learning practitioners from different domains - such as data scientists, machine learning developers and engineers – a reference point in building machine learning solutions in practice. Intermediate machine learning developers and data scientists looking for a quick, handy reference to all the concepts of machine learning will find this book to be very useful. Some exposure to machine learning will be required to get the best out of the book.
Mastering Arduino: A project-based approach to electronics, circuits, and programming
by Jon HoffmanMastering Arduino is a practical, no-nonsense guide that will teach you the electronics and programming skills that you need to create advanced Arduino projects.Key FeaturesCovers enough electronics and code for users at any levelIncludes complete circuit diagrams for all projectsFinal robot project combines knowledge from all the chaptersBook DescriptionMastering Arduino is an all-in-one guide to getting the most out of your Arduino. This practical, no-nonsense guide teaches you all of the electronics and programming skills that you need to create advanced Arduino projects. This book is packed full of real-world projects for you to practice on, bringing all of the knowledge in the book together and giving you the skills to build your own robot from the examples in this book. The final two chapters discuss wireless technologies and how they can be used in your projects. The book begins with the basics of electronics, making sure that you understand components, circuits, and prototyping before moving on. It then performs the same function for code, getting you into the Arduino IDE and showing you how to connect the Arduino to a computer and run simple projects on your Arduino.Once the basics are out of the way, the next 10 chapters of the book focus on small projects centered around particular components, such as LCD displays, stepper motors, or voice synthesizers. Each of these chapters will get you familiar with the technology involved, how to build with it, how to program it, and how it can be used in your own projects. What you will learnExplains the basics of electronics and circuits along with the Arduino IDE and basic C operationsUse sensors to build a mini weather stationControl LEDs using codePower a robot arm using stepper motorsRemotely control your Arduino using RF, Bluetooth LE, and Bluetooth ClassicMake a sound tone generator with buttonsWho this book is forMastering Arduino is for anybody who wants to experiment with an Arduino board and build simple projects. No prior knowledge is required, as the fundamentals of electronics and coding are covered in this book as well as advance projects.
Hands-On Artificial Intelligence with Unreal Engine: Everything you want to know about Game AI using Blueprints or C++
by Francesco SapioLearn to build intelligent and responsive Non-Player Characters for your games with Unreal Engine Game AI.Key FeaturesUnderstand the built-in AI systems in Unreal Engine for building intelligent gamesLeverage the power of Unreal Engine 4 programming to create game AI that focuses on motion, animation, and tacticsLearn to profile, visualize, and debug your Game AI for checking logic and optimizing performanceBook DescriptionLearning how to apply artificial intelligence ( AI ) is crucial and can take the fun factor to the next level, whether you're developing a traditional, educational, or any other kind of game. If you want to use AI to extend the life of your games and make them challenging and more interesting, this book is for you.The book starts by breaking down AI into simple concepts to get a fundamental understanding of it. Using a variety of examples, you will work through actual implementations designed to highlight key concepts and features related to game AI in UE4. You will learn to work through the built-in AI framework in order to build believable characters for every game genre (including RPG, Strategic, Platform, FPS, Simulation, Arcade, and Educational). You will learn to configure the Navigation, Environmental Querying, and Perception systems for your AI agents and couple these with Behavior Trees, all accompanied with practical examples. You will also explore how the engine handles dynamic crowds. In the concluding chapters, you will learn how to profile, visualize, and debug your AI systems to correct the AI logic and increase performance.By the end of the book, your AI knowledge of the built-in AI system in Unreal will be deep and comprehensive, allowing you to build powerful AI agents within your projects.What you will learnGet an in-depth knowledge about all the AI Systems within Unreal EngineCreate complex AIs, understanding the art of designing and developing Behavior TreeLearn how to perform Environmental Queries (EQS)Master the Navigation, Perception, and Crowd SystemsProfile and Visualize the AI Systems with powerful debugging toolsExtend every AI and Debug system with custom nodes and functionsWho this book is forHands-On Artificial Intelligence with Unreal Engine is for you if you are a game developer with a bit experience in Unreal Engine, and now want to understand and implement believable game AI within Unreal Engine. The book will be both in Blueprint and C++, allowing people from every background to enjoy the book. Whether you're looking to build your first game or expand your knowledge to the edge as a Game AI Programmer, you will find plenty of exciting information and examples of game AI in terms of concepts and implementation, including how to extend some of these systems.
Hands-On Cyber Security for Finance: Identify Vulnerabilities And Secure Your Financial Services From Security Breaches
by Erdal OzkayaIf you are a security architect, cyber risk manager,or pentester looking at securing your financial organization then, this book is for you. Some basic understanding of cybersecurity tools and practices would smoothen your journey.
Implementing Azure: Transform your software deployment process with Microsoft Azure
by Namit Tanasseri Mohamed Wali Markus Klein Oliver Michalski Florian KlaffenbachExplore powerful Azure DevOps solutions to develop and deploy your software faster and more efficiently. Key Features Build modern microservice-based systems with Azure architecture Learn to deploy and manage cloud services and virtual machines Configure clusters with Azure Service Fabric for deployment Book Description This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you've understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: Learn Microsoft Azure by Mohamed Wali Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein Microservices with Azure by Namit Tanasseri and Rahul Rai What you will learn Study various Azure Service Fabric application programming models Create and manage a Kubernetes cluster in Azure Kubernetes Service Use site-to-site VPN and ExpressRoute connections in your environment Design an Azure IoT app and learn to operate it in various scenarios Implement a hybrid Azure design using Azure Stack Build Azure SQL databases with Code First Migrations Integrate client applications with Web API and SignalR on Azure Implement the Azure Active Directory (Azure AD) across the entire system Who this book is for If you are an IT system architect, network admin, or a DevOps engineer who wants to implement Azure solutions for your organization, this Learning Path is for you. Basic knowledge of the Azure Cloud platform will be beneficial.
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition
by Giancarlo Zaccone Md. Rezaul KarimDelve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow v1.7.Key Features Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow v1.7 Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide Gain real-world contextualization through some deep learning problems concerning research and applicationBook DescriptionDeep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks.This book is conceived for developers, data analysts, machine learning practitioners and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow v1.7, combined with other open source Python libraries. Throughout the book, you’ll learn how to develop deep learning applications for machine learning systems using Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Factorization Machines. Discover how to attain deep learning programming on GPU in a distributed way.You'll come away with an in-depth knowledge of machine learning techniques and the skills to apply them to real-world projects.What you will learn Apply deep machine intelligence and GPU computing with TensorFlow v1.7 Access public datasets and use TensorFlow to load, process, and transform the data Discover how to use the high-level TensorFlow API to build more powerful applications Use deep learning for scalable object detection and mobile computing Train machines quickly to learn from data by exploring reinforcement learning techniques Explore active areas of deep learning research and applicationsWho this book is forThe book is for people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.
C++ Data Structures and Algorithms: Learn how to write efficient code to build scalable and robust applications in C++
by Wisnu AnggoroLearn how to build efficient, secure and robust code in C++ by using data structures and algorithms - the building blocks of C++Key FeaturesUse data structures such as arrays, stacks, trees, lists, and graphs with real-world examplesLearn the functional and reactive implementations of the traditional data structuresExplore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual mannerBook DescriptionC++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer.We begin with an introduction to C++ data structures and algorithms while also covering essential language constructs. Next, we will see how to store data using linked lists, arrays, stacks, and queues. Then, we will learn how to implement different sorting algorithms, such as quick sort and heap sort. Along with these, we will dive into searching algorithms such as linear search, binary search and more. Our next mission will be to attain high performance by implementing algorithms to string datatypes and implementing hash structures in algorithm design. We'll also analyze Brute Force algorithms, Greedy algorithms, and more.By the end of the book, you'll know how to build components that are easy to understand, debug, and use in different applications.What you will learnKnow how to use arrays and lists to get better results in complex scenariosBuild enhanced applications by using hashtables, dictionaries, and setsImplement searching algorithms such as linear search, binary search, jump search, exponential search, and moreHave a positive impact on the efficiency of applications with tree traversalExplore the design used in sorting algorithms like Heap sort, Quick sort, Merge sort and Radix sortImplement various common algorithms in string data typesFind out how to design an algorithm for a specific task using the common algorithm paradigmsWho this book is forThis book is for developers who would like to learn the Data Structures and Algorithms in C++. Basic C++ programming knowledge is expected.
Mastering SAP S/4HANA 1709 – Strategies for Implementation and Migration: Transition to S/4HANA with tried and tested deployment scenarios
by Nitin GuptaLearn every aspect of SAP S/4HANA and develop the skills needed to migrate from SAP ECCKey Features● Gain insight into the implementation and configuration of SAP S/4HANA ● Design business processes with SAP Central Finance● Learn the available SAP S/4HANA deployment options in depthBook DescriptionSAP S/4HANA implementation, migration, and Central Finance are the key projects being employed across the globe, with millions of consultants working day and night to implement them. Mastering SAP S/4HANA 1709 - Strategies for Implementation and Migration will allow you to gain a virtual implementation experience, and you can follow the steps to configure the learning system as per your requirements. This book focuses on several topics; each topic is covered in detail to make you a successful SAP S/4HANA professional.You will begin by understanding SAP HANA and then move toward S/4HANA and the deployment options available to customers, including what suits various customer needs. You will then understand the impact of S/4HANA on General Ledger, Asset Accounting, and Profitability Analysis; SAP notes will also be listed when needed. As you progress through the book, you explore premigration, migration, and post-migration steps including the Near Zero Downtime strategy and learn how to implement Central Finance with and without MDG using SLT. In the concluding chapters, greenfield implementations using SAP Activate methodology will also be covered.By the end of this book, you will have learned to successfully implement SAP S/4HANA projects that are customized for your business needs.What you will learnUnderstand SAP HANA and SAP S/4HANAImplement SAP S/4HANA as a greenfield implementation with SAP Activate methodologyDiscover the hidden challenges in SAP Central Finance Migrate from ECC to S/4HANA successfully in a non-disrupted roadmapExplore the change from Classic Asset Accounting to New Asset AccountingLearn to configure General Ledger, Profitability Analysis, and ControllingApply the Near Zero Downtime strategy to migration projectsWalk through Customer Vendor Integration (CVI)Who this book is forMastering SAP S/4HANA 1709: Strategies for Implementation and Migration is for project managers, solution architects, and consultants who are planning to implement SAP S/4HANA for ERP solutions and are in the process of implementing it or are currently upgrading/migrating to it.
Oracle CX Cloud Suite: Deliver A Seamless And Personalized Customer Experience With The Oracle Cx Suite
by Kresimir JuricThis book is meant for anybody who understands or is willing to learn CX concepts and has basic technical knowledge; After reading this book you will acquire skills and knowledge needed to optimally use your Oracle CX and tailor unforgettable experience for your customer.
Mastering Python Design Patterns: A guide to creating smart, efficient, and reusable software, 2nd Edition
by Sakis Kasampalis Kamon AyevaExploit various design patterns to master the art of solving problems using PythonKey FeaturesMaster the application design using the core design patterns and latest features of Python 3.7Learn tricks to solve common design and architectural challengesChoose the right plan to improve your programs and increase their productivityBook DescriptionPython is an object-oriented scripting language that is used in a wide range of categories. In software engineering, a design pattern is an elected solution for solving software design problems. Although they have been around for a while, design patterns remain one of the top topics in software engineering, and are a ready source for software developers to solve the problems they face on a regular basis. This book takes you through a variety of design patterns and explains them with real-world examples. You will get to grips with low-level details and concepts that show you how to write Python code, without focusing on common solutions as enabled in Java and C++. You'll also fnd sections on corrections, best practices, system architecture, and its designing aspects. This book will help you learn the core concepts of design patterns and the way they can be used to resolve software design problems. You'll focus on most of the Gang of Four (GoF) design patterns, which are used to solve everyday problems, and take your skills to the next level with reactive and functional patterns that help you build resilient, scalable, and robust applications. By the end of the book, you'll be able to effciently address commonly faced problems and develop applications, and also be comfortable working on scalable and maintainable projects of any size.What you will learnExplore Factory Method and Abstract Factory for object creationClone objects using the Prototype patternMake incompatible interfaces compatible using the Adapter patternSecure an interface using the Proxy patternChoose an algorithm dynamically using the Strategy patternKeep the logic decoupled from the UI using the MVC patternLeverage the Observer pattern to understand reactive programmingExplore patterns for cloud-native, microservices, and serverless architecturesWho this book is forThis book is for intermediate Python developers. Prior knowledge of design patterns is not required to enjoy this book.
React 16 Tooling: Master essential cutting-edge tools, such as create-react-app, Jest, and Flow
by Adam BoduchReact 16 Tooling covers the most important tools, utilities, and libraries that every React developer needs to know — in detail.Key FeaturesEach chapter presents meta-development solutions to help React developersThe tools used are presented in a practical, solution-oriented approach with no fluffThe chapters are arranged in a logical order that mirrors a typical React development workflow, but you are free to tweak the approaches discussed to fit your own unique styleBook DescriptionReact 16 Tooling covers the most important tools, utilities, and libraries that every React developer needs to know — in detail. As React has grown, the amazing toolset around it has also grown, adding features and enhancing the development workflow. Each of these essential tools is presented in a practical manner and in a logical order mirroring the development workflow. These tools will make your development life simpler and happier, enabling you to create better and more performant apps.Adam starts with a hand-picked selection of the best tools for the React 16 ecosystem. For starters, there’s the create-react-app utility that’s officially supported by the React team. Not only does this tool bootstrap your React project for you, it also provides a consistent and stable framework to build upon. The premise is that when you don’t have to think about meta development work, more focus goes into the product itself.Other React tools follow this same approach to automating and improving your development life. Jest makes unit testing quicker. Flow makes catching errors easier. Docker containers make deployment in a stack simpler. Storybook makes developing components straightforward. ESLint makes writing standardized code faster. The React DevTools plugin makes debugging a cinch. React 16 Tooling clears away the barriers so you can focus on developing the good parts. In this book, we’ll look at each of these powerful tools in detail, showing you how to build the perfect React ecosystem to develop your apps within.What you will learnBootstrap a React application using create-react-appIsolate React component development using StorybookWrite effective unit tests for your React components using JestEnsure that your component code is to standard using ESLintUse browser extensions and built-in component instrumentation to debug React applicationsEnable type safety in React components with Flowtype Deploy React applications inside a Docker container as part of a larger application stackWho this book is forThis book is for React developers of any skill level who want to make their lives easier. It helps to have some familiarity with React, but if you are an experienced web developer looking at React, then this book will show you how to build a resilient toolset around you before you begin.
Test-Driven Java Development, Second Edition: Invoke TDD principles for end-to-end application development, 2nd Edition
by Alex Garcia Viktor FarcicThis book will teach the concepts of test driven development in Java so you can build clean, maintainable and robust codeKey Features Explore the most popular TDD tools and frameworks and become more proficient in building applications Create applications with better code design, fewer bugs, and higher test coverage, enabling you to get them to market quickly Implement test-driven programming methods into your development workflowsBook DescriptionTest-driven development (TDD) is a development approach that relies on a test-first procedure that emphasizes writing a test before writing the necessary code, and then refactoring the code to optimize it.The value of performing TDD with Java, one of the longest established programming languages, is to improve the productivity of programmers and the maintainability and performance of code, and develop a deeper understanding of the language and how to employ it effectively.Starting with the basics of TDD and understanding why its adoption is beneficial, this book will take you from the first steps of TDD with Java until you are confident enough to embrace the practice in your day-to-day routine.You'll be guided through setting up tools, frameworks, and the environment you need, and we will dive right into hands-on exercises with the goal of mastering one practice, tool, or framework at a time. You'll learn about the Red-Green-Refactor procedure, how to write unit tests, and how to use them as executable documentation.With this book, you'll also discover how to design simple and easily maintainable code, work with mocks, utilize behavior-driven development, refactor old legacy code, and release a half-finished feature to production with feature toggles.You will finish this book with a deep understanding of the test-driven development methodology and the confidence to apply it to application programming with Java.What you will learn Explore the tools and frameworks required for effective TDD development Perform the Red-Green-Refactor process efficiently, the pillar around which all other TDD procedures are based Master effective unit testing in isolation from the rest of your code Design simple and easily maintainable code by implementing different techniques Use mocking frameworks and techniques to easily write and quickly execute tests Develop an application to implement behavior-driven development in conjunction with unit testing Enable and disable features using feature togglesWho this book is forIf you're an experienced Java developer and want to implement more effective methods of programming systems and applications, then this book is for you.
Python for Offensive PenTest: A practical guide to ethical hacking and penetration testing using Python
by Hussam KhraisYour one-stop guide to using Python, creating your own hacking tools, and making the most out of resources available for this programming languageKey FeaturesComprehensive information on building a web application penetration testing framework using PythonMaster web application penetration testing using the multi-paradigm programming language PythonDetect vulnerabilities in a system or application by writing your own Python scriptsBook DescriptionPython is an easy-to-learn and cross-platform programming language that has unlimited third-party libraries. Plenty of open source hacking tools are written in Python, which can be easily integrated within your script.This book is packed with step-by-step instructions and working examples to make you a skilled penetration tester. It is divided into clear bite-sized chunks, so you can learn at your own pace and focus on the areas of most interest to you. This book will teach you how to code a reverse shell and build an anonymous shell. You will also learn how to hack passwords and perform a privilege escalation on Windows with practical examples. You will set up your own virtual hacking environment in VirtualBox, which will help you run multiple operating systems for your testing environment.By the end of this book, you will have learned how to code your own scripts and mastered ethical hacking from scratch.What you will learnCode your own reverse shell (TCP and HTTP)Create your own anonymous shell by interacting with Twitter, Google Forms, and SourceForgeReplicate Metasploit features and build an advanced shellHack passwords using multiple techniques (API hooking, keyloggers, and clipboard hijacking)Exfiltrate data from your targetAdd encryption (AES, RSA, and XOR) to your shell to learn how cryptography is being abused by malwareDiscover privilege escalation on Windows with practical examplesCountermeasures against most attacksWho this book is forThis book is for ethical hackers; penetration testers; students preparing for OSCP, OSCE, GPEN, GXPN, and CEH; information security professionals; cybersecurity consultants; system and network security administrators; and programmers who are keen on learning all about penetration testing.
Practical Network Scanning: Capture network vulnerabilities using standard tools such as Nmap and Nessus
by Ajay Singh. Jacob CoxGet more from your network by securing its infrastructure and increasing its effectivenessKey Features- Learn to choose the best network scanning toolset for your system- Implement different concepts of network scanning such as port scanning and OS detection- Adapt a practical approach to securing your networkBook DescriptionNetwork scanning is the process of assessing a network to identify an active host network; same methods can be used by an attacker or network administrator for security assessment. This procedure plays a vital role in risk assessment programs or while preparing a security plan for your organization.Practical Network Scanning starts with the concept of network scanning and how organizations can benefit from it. Then, going forward, we delve into the different scanning steps, such as service detection, firewall detection, TCP/IP port detection, and OS detection. We also implement these concepts using a few of the most prominent tools on the market, such as Nessus and Nmap. In the concluding chapters, we prepare a complete vulnerability assessment plan for your organization. By the end of this book, you will have hands-on experience in performing network scanning using different tools and in choosing the best tools for your system.What you will learn- Achieve an effective security posture to design security architectures - Learn vital security aspects before moving to the Cloud- Launch secure applications with Web Application Security and SQL Injection- Explore the basics of threat detection/response/ mitigation with important use cases- Learn all about integration principles for PKI and tips to secure it- Design a WAN infrastructure and ensure security over a public WANWho this book is forIf you are a security professional who is responsible for securing an organization's infrastructure, then this book is for you.
Angular 6 by Example: Get up and running with Angular by building modern real-world web apps, 3rd Edition
by Chandermani Arora Kevin HennessyHarness the power of Angular Components, Router, Forms, Directives and much more to build professional-grade web apps with TypeScriptKey FeaturesGet to grips with #1 JavaScript framework and explore modern concepts for developing single page applicationsDevelop full-featured web applications using Angular 6 and TypeScript from scratchLearn professional web programming techniques to supercharge your Angular projectsBook DescriptionAngular helps you build faster, more efficient, and more flexible cross-platform applications. Creating complex and rich web applications, with a lighter resource footprint, has never been easier or faster. Angular is now at release 6, with significant changes compared to previous versions.In this third edition of Angular by Example, you’ll build three apps with varying degrees of complexity. The book starts with a simple Guess the Number game, which serves as a platform to launch you into the world of Angular. Next, you will learn to develop a popular 7-Minute Workout app, covering the building blocks of Angular. The final app, “Personal Trainer” morphs the existing 7-Minute Workout into a full-fledged personal workout builder and runner, covering advanced directive building, which is the most fundamental and powerful feature of Angular. In addition to this, you will learn about testability and the framework constructs Angular provides to effectively test your app. The book concludes by providing you with practical advice and useful tips that will come in handy as you build more apps with Angular.What you will learnGet introduced to the Angular framework and create a simple guess the number app that explores core features of the framework Dig deeper into the angular framework by building the 7-minute workout app throughout the bookExplore primary building blocks of Angular – components Go deep into the inner workings of Angular 6 directives and componentsLearn about cross-component communication using Angular eventsGet started with the unit and E2E testingUnderstand how to encounter scenarios such as authentication and authorization, localization, performance, and migrating apps from Angular 1 to Angular 6Who this book is forAngular by Example is an essential guide for beginners who want to get started with Angular. You’ll start building applications immediately with the featured examples and uncover a simpler approach to JavaScript web development. Prior experience with HTML, CSS, and JavaScript is necessary.
Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems
by Amita KapoorBuild smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Process IoT data and predict outcomes in real time to build smart IoT models Cover practical case studies on industrial IoT, smart cities, and home automation Book Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learn Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras Access and process data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms Forecast time-series data using deep learning methods Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities Gain unique insights from data obtained from wearable devices and smart devices Who this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.
Getting Started with Unity 2018: A Beginner's Guide to 2D and 3D game development with Unity, 3rd Edition
by Dr Edward LavieriLearn how to use Unity 2018 by creating your very own 3D game while developing your essential skillsKey FeaturesLearn to create immersive 3D games and Virtual Reality experiences with Unity 2018 Build custom scripts to make your game characters interactiveExplore and implement AritificiaI Intelligence techniques to bring your game to lifeBook Description The Unity game engine has revolutionized the gaming industry with its complete set of intuitive tools and rapid workflows, which can be used to create interactive 3D content. With Unity, you can scaffold your way from the basics and make make stunning interactive games. This book will guide you through the entire process of creating a 3D game, from downloading the Unity game engine to publishing your game. It not only gives you a strong foundation, but puts you on the path to game development. Beginning with an overview of the Unity engine and its interface, you will walk through the process of creating a game environment and learn how to use built-in assets, as well as assets created with third-party 3D modeling tools such as Blender. Moving on, you will create custom scripts to control non-player character behaviors and gameplay. You will master exciting concepts such as Heads-Up-Displays, mini-maps, game navigation, sound effects, and lighting effects. Next, you’ll learn how to create your first VR experience, right from setting up the project to image effects. You'll be familiarized with all the tools that Unity has to offer to create your own immersive VR experiences. Each section is a stepping stone toward the completion of the final game. By the end of the book, you'll have learned advanced topics such as cross-platform considerations which enable your games to run on multiple platforms.What you will learnSet up your Unity development environment and navigate its toolsImport and use custom assets and asset packages to add characters to your gameBuild a 3D game world with a custom terrain, water, sky, mountains, and treesAnimate game characters, using animation controllers, and scriptingApply audio and particle effects to the gameCreate intuitive game menus and interface elementsCustomize your game with sound effects, shadows, lighting effects, and rendering optionsDebug code and provide smooth error handlingWho this book is forIf you are an aspiring game developer interested in learning Unity 2018 and becoming familiar with its core features, then this book is for you. No prior knowledge of Unity is required.