Create high-quality multi-platform native apps with Xamarin.Forms About This Book ? Packed with real-world scenarios and solutions to help you build professional-grade mobile apps with Xamarin.Forms ? Build an effective mobile app architecture with the Xamarin.Forms toolkit ? Find out how, when, and why you should use architectural patterns and get best practices with Xamarin.Forms Who This Book Is For This book is intended for C# developers who are familiar with the Xamarin platform and the Xamarin.Forms toolkit. If you have already started working with Xamarin.Forms and want to take your app to the next level with higher quality, maintainability, testability, and flexibility, then this book is for you. What You Will Learn ? Implement the Model-View-View-Model (MVVM) pattern and data-binding in Xamarin.Forms mobile apps ? Extend the Xamarin.Forms navigation API with a custom ViewModel-centric navigation service ? Leverage the inversion of control and dependency injection patterns in Xamarin.Forms mobile apps ? Work with online and offline data in Xamarin.Forms mobile apps ? Test business logic in Xamarin.Forms mobile apps ? Use platform-specific APIs to build rich custom user interfaces in Xamarin.Forms mobile apps ? Explore how to improve mobile app quality using Visual Studio AppCenter In Detail Discover how to extend and build upon the components of the Xamarin.Forms toolkit to develop an effective, robust mobile app architecture. Starting with an app built with the basics of the Xamarin.Forms toolkit, you'll go step by step through several advanced topics to create a solution architecture rich with the benefits of good design patterns and best practices. You'll start by introducing a core separation between the app's user interface and its business logic by applying the MVVM pattern and data-binding. Then you focus on building out a layer of plugin-like services that handle platform-specific utilities such as navigation and geo-location, and on how to loosely use these services in the app with inversion of control and dependency injection. Next you connect the app to a live web-based API and set up offline synchronization. Then, you delve into testing the app logic through unit tests. Finally, you set up Visual Studio App Center for monitoring usage and bugs to gain a proactive edge on app quality. Style and approach This easy-to-follow, code-rich guide will walk you through building a real-world Xamarin.Forms mobile app from start to finish. Each chapter builds on the app by applying new advanced capabilities, design patterns, and best practices. Packed with real-world scenarios, this step-by-step guide will help you quickly build professional-grade apps with Xamarin.Forms.

Leverage the features of C# 7 and .NET core 2.0 to build real-world .NET core applications About This Book ? See how to incorporate Entity Framework Core to build ASP .NET core MVC application ? Get hands-on SignalR and NuGet packages ? Work with Reactive Extensions (Rx.Net) using the elasticsearch tool ? Get hands-on with .NET Core MVC, Middleware, Controllers, Views, Layouts, Routing, and authentication ? Implement Azure Service Fabric and Microservices and AWS, S3,Serverless computing ? Work on .NET Core cross-platform functionality ? Run a .NET Core MVC application with Docker compose ? Easy-to-follow real-world projects that get you up and running with the new features of C# 7 and .NET Core 2.0 ? The practical applications will assist you with concepts such as Entity Framework Core, serverless computing, microservices, and more in .NET Core 2.0 ? Explore the workings of Rx.Net and build cross-platform mobile applications using Xamarin Who This Book Is For This book is for .NET developers who would like to master and implement C# 7 and .NET Core 2.0 with practical projects. Basic knowledge of .NET Core and C# is assumed. What You Will Learn ? How to incorporate Entity Framework Core to build ASP .NET Core MVC applications ? Get hands-on experience with SignalR, and NuGet packages ? Working with MongoDB in your ASP.NET Core MVC application ? Get hands-on experience with .NET Core MVC, Middleware, Controllers, Views, Layouts, Routing, and OAuth ? Implementing Azure Functions and learn what Serverless computing means ? See how .NET Core enables cross-platform applications that run on Windows, macOS and Linux ? Running a .NET Core MVC application with Docker Compose In Detail NET Core is a general purpose, modular, cross-platform, and open source implementation of .NET. With the latest release of .NET Core, many more APIs are expected to show up, which will make APIs consistent across .Net Framework, .NET Core, and Xamarin. This step-by-step guide will teach you the essential .NET Core and C# concepts with the help of real-world projects. The book starts with a brief introduction to the latest features of C# 7 and .NET Core 2.0 before moving on to explain how C# 7 can be implemented using the object-oriented paradigm. You'll learn to work with relational data using Entity Framework and see how to use ASP.NET Core practically. This book will show you how .NET Core allows the creations of cross-platform applications. You'll also learn about SignalR to add real-time functionality to your application. Then you will see how to use MongoDB and how to implement MongoDB into your applications. You'll learn about serverless computing and OAuth concepts, along with running ASP.NET Core applications with Docker Compose. This project-based guide uses practical applications to demonstrate these concepts. By the end of the book, you'll be profcient in developing applications using .NET Core 2.0 Style and approach This comprehensive guide uses 11 real-world practical projects to implement .NET Core and C# concepts step by step.

Augment your IoT skills with the help of engaging and enlightening tutorials designed for Raspberry Pi 3 About This Book ? Design and implement state-of-the-art solutions for the Internet of Things ? Build complex projects using motions detectors, controllers, sensors, and Raspberry Pi 3 ? A hands-on guide that provides interoperable solutions for sensors, actuators, and controllers Who This Book Is For If you're a developer or electronic engineer and are curious about the Internet of Things, this is the book for you. With only a rudimentary understanding of electronics and Raspberry Pi 3, and some programming experience using managed code, such as C# or Java, you will be taught to develop state-of-the-art solutions for the Internet of Things. What You Will Learn ? Create your own project, run and debug it ? Master different communication patterns using the MQTT, HTTP, CoAP, LWM2M and XMPP protocols ? Build trust-based as hoc networks for open, secure and interoperable communication ? Explore the IoT Service Platform ? Manage the entire product life cycle of devices ? Understand and set up the security and privacy features required for your system ? Master interoperability, and how it is solved in the realms of HTTP,CoAP, LWM2M and XMPP In Detail The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. Mastering Internet of Things starts by presenting IoT fundamentals and the smart city. You will learn the important technologies and protocols that are used for the Internet of Things, their features, corresponding security implications, and practical examples on how to use them. This book focuses on creating applications and services for the Internet of Things. Further, you will learn to create applications and services for the Internet of Things. You will be discover various interesting projects and understand how to publish sensor data, control devices, and react to asynchronous events using the XMPP protocol. The book also introduces chat, to interact with your devices. You will learn how to automate your tasks by using Internet of Things Service Platforms as the base for an application. You will understand the subject of privacy, requirements they should be familiar with, and how to avoid violating any of the important new regulations being introduced. At the end of the book, you will have mastered creating open, interoperable and secure networks of things, protecting the privacy and integrity of your users and their information. Style and approach This mastering-level guide will immerse you in the advanced functionalities of IoT, along with extending them, and finishes up with security and privacy techniques.

Find bottlenecks, identify the proper algorithm to use, optimize performance, and create really efficient Rust applications About This Book ? Understand common performance pitfalls and improve the performance of your applications. ? Get to grips with parallel programming and multithreading with Rust. ? Learn metaprogramming in Rust. Who This Book Is For This book is for Rust developers keen to improve the speed of their code or simply to take their skills to the next level. What You Will Learn ? Master tips and tricks to make your code faster. ? Learn how to identify bottlenecks in your Rust applications ? Discover how to profile your Rust software. ? Understand the type system to create compile-time optimizations. ? Master the borrow checker . ? Learn metaprogramming in Rust to avoid boilerplate code. ? Discover multithreading and work stealing in Rust. ? Understand asynchronous programming in Rust. In Detail At times, it is difficult to get the best performance out of Rust. This book teaches you to optimize the speed of your Rust code to the level of languages such as C/C++. You'll understand and fix common pitfalls, learn how to improve your productivity by using metaprogramming, and speed up your code by concurrently executing parts of it safely and easily. You will master the features of the language which will make you stand out and use them to really improve the efficiency of your algorithms The book begins with a gentle introduction to help you identify bottlenecks when programming in Rust. We highlight common performance pitfalls, along with strategies to detect and resolve these issues early. We move on to mastering Rust's type system, which will enable us to create impressive optimizations in both performance and safety at compile time. You will then learn how to effectively manage memory in Rust, mastering the borrow checker. We move on to measuring performance and you will see how this affects the way you write code. Moving ahead, you will perform metaprogramming in Rust to boost the performance of your code and your productivity. You will finally learn parallel programming in Rust, which enables efficient and faster execution by using multithreading and asynchronous programming. Style and approach You'll embark on a learning journey that will teach about you deep-core concepts in the Rust language. Learning those concepts—such as understanding the borrow checker—will make you competent to write more efficient Rust code. To learn those core concepts, you'll perform practical work and see for yourself how specific patterns improve the performance of your code.

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

Secure public and private cloud workloads with this comprehensive learning guide. About This Book ? Take your cloud security functions to the next level by automation ? Learn to automate your security functions on AWS and OpenStack ? Practical approach towards securing your workloads efficiently Who This Book Is For This book is targeted at DevOps Engineers, Security professionals, or any stakeholders responsible for securing cloud workloads. Prior experience with AWS or OpenStack will be an advantage. What You Will Learn ? Define security for public and private cloud services ? Address the security concerns of your cloud ? Understand Identity and Access Management ? Get acquainted with cloud storage and network security ? Improve and optimize public and private cloud security ? Automate cloud security ? Understand the security compliance requirements of your cloud In Detail Security issues are still a major concern for all IT organizations. For many enterprises, the move to cloud computing has raised concerns for security, but when applications are architected with focus on security, cloud platforms can be made just as secure as on-premises platforms. Cloud instances can be kept secure by employing security automation that helps make your data meet your organization's security policy. This book starts with the basics of why cloud security is important and how automation can be the most effective way of controlling cloud security. You will then delve deeper into the AWS cloud environment and its security services by dealing with security functions such as Identity and Access Management and will also learn how these services can be automated. Moving forward, you will come across aspects such as cloud storage and data security, automating cloud deployments, and so on. Then, you'll work with OpenStack security modules and learn how private cloud security functions can be automated for better time- and cost-effectiveness. Toward the end of the book, you will gain an understanding of the security compliance requirements for your Cloud. By the end of this book, you will have hands-on experience of automating your cloud security and governance. Style and approach This book follows a step-by-step, practical approach to help automate and secure your cloud account structure in an Amazon Web Services (AWS) and OpenStack environment.

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

Fast track your development skills to build resourceful, open-source business applications with Odoo 11 About This Book ? Discover the latest technical capabilities in Odoo 11 while you build your own app ? Program business logic and manipulate data to implement specific business rules in your applications ? Implement automated tests to add modules and techniques and debug module business logic Who This Book Is For Odoo 11 Development Essentials caters to developers who are familiar with Python and MVC design and now want to build effective business applications using Odoo. What You Will Learn ? Install Odoo from source ? Manage Odoo server instances ? Create a new Odoo application from scratch covering the most frequently used elements ? Develop new models and use inheritance to extend/modify existing models ? Use ORM methods, both in the Odoo server and from external clients ? Create Kanban views using QWeb effectively ? Develop custom web and website CMS pages ? Use external API to integrate Odoo with external applications In Detail Odoo continues to gain worldwide momentum as the best platform for open source ERP installations. Now, with Odoo 11, you have access to an improved GUI, performance optimization, integrated in-app purchase features, and a fast-growing community to help transform and modernize your business. With this practical guide, you will cover all the new features that Odoo 11 has to offer to build and customize business applications, focusing on the publicly available community edition. We begin with setting up a development environment, and as you make your way through the chapters, you will learn to build feature-rich business applications. With the aim of jump-starting your Odoo proficiency level, from no specific knowledge to application development readiness, you will develop your first Odoo application. We then move on to topics such as models and views, and understand how to use server APIs to add business logic, helping to lay a solid foundation for advanced topics. The book concludes with Odoo interactions and how to use the Odoo API from other programs, all of which will enable you to efficiently integrate applications with other external systems. Style and Approach This fast-paced tutorial explains topics with the help of practical examples to help you understand each chapter efficiently.

Leverage the power of ROS to build exciting collaborative robots. About This Book ? Delve into an open source, meta-operating system for your robot ? Get acquainted with tools and libraries for building and running code on multiple platforms ? Use Gazebo to model your robot and create a virtual environment Who This Book Is For If you’re a researcher or engineer with an interest in the problems, solutions, and future research issues that you may encounter in the development of robotic applications, this book is for you. Basic knowledge of C++ and Python programming with the GNU/Linux environment is strongly recommended to assist with understanding the key concepts covered in the book. What You Will Learn ? Explore advanced concepts, such as ROS pluginlib, nodelets, and actionlib ? Work with ROS visualization, profiling, and debugging tools ? Gain experience in robot modeling and simulation using Gazebo ? Understand the ROS Navigation Stack for mobile robots ? Configure a MoveIt! package for a manipulator robot ? Develop an autonomous navigation framework for MAV using ORB SLAM and MoveIt ? Integrate sensors, actuators, and robots into the ROS ecosystem ? Get acquainted with the ROS-Industrial package with hardware support, capabilities, and applications In Detail This book will leverage the power of ROS with an introduction to its core and advanced concepts through exciting recipes. You will get acquainted with the use of different synchronous and asynchronous communication methods, including messages, services, and actions. You will learn how to use the various debugging and visualization tools used in development and how to interface sensors and actuators with the ROS framework. Firstly, you will get to grips with ROS simulation frameworks, such as Gazebo and RotorS for modeling and simulating any physical robot and virtual environment. You will also cover mobile robotics, micro-aerial vehicles, and robotic arms, which are the leading branches of robotic applications. Robot Operating System Cookbook will also guide you in the development of an autonomous navigation framework for both mobile robots and micro-aerial vehicles. Finally, you will explore ROS-Industrial, an open source project that extends the advanced capabilities of ROS software to manufacturing industries. Style and approach The goal of this book is to provide an integrated overview of the concepts and techniques. ROS is not an operating system in the traditional sense of process management and scheduling; rather, it provides a structured communications layer above the host operating systems of a heterogeneous compute cluster.

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.

Get the most out of .NET framework using standard libraries and create a .NET Standard 2.0 library from scratch About This Book ? Write code once and share within .NET ecosystem in Windows, Linux and macOS ? Give your .NET Libraries a common framework in cloud and on premise with the latest .NET Standard 2.0 ? Build a wide range of applications from Mobile with Xamarin to Web with ASP.NET Who This Book Is For This book is for .NET developers who are looking to build dynamic applications with the latest .NET Standard. C# knowledge is required. What You Will Learn ? Create a .NET Standard 2.0 library ? Use System.IO within the .NET Standard 2.0 ? Make use of your legacy .NET libraries with the new .NET Core standard ? Explore the thread support to create a multithreaded .NET Standard 2.0 library ? Create a .NET Standard 2.0 library and use it with an Android and iOS application ? Implement various Visual Studio 2017 diagnostics and debugging tools ? Create a NuGet Package and submit the package to the NuGet Package Manager ? Use Visual Studio 2017 azure tools to deploy the application to Azure ? Test and deliver a .NET Standard 2.0 library In Detail The .NET Standard is a standard that represents a set of APIs that all .NET platforms have to implement, making it easy for developers to access and use one common library for their development needs. This book begins with a quick refresher, helping you understand the mechanics of the new standard and offering insight into how it works. You’ll explore the core library concepts, such as working with collections, configurations, I/O, security, and multithreading. You’ll explore the iOS and Android libraries of Xamarin and we’ll guide you through creating a .NET Standard 2.0 library, which you’ll use with both Android and iOS applications. In the final chapters, you’ll learn the various debugging and diagnostics tools to deliver quality libraries and create a NuGet package of the .NET Standard 2.0 library. By the end of this book, you’ll be able to expand your current workflow to various .NET flavors and have the essential skills to create a .NET Standard 2.0 library from scratch to package and deliver it to the world. Style and approach A recipe-based approach to help you get the most out of the .NET Standard 2.0 Library that can be implemented to all the .NET Platforms

Take advantage of Kotlin's concurrency primitives to write efficient multithreaded applications Key Features *Learn Kotlin’s unique approach to multithreading *Work through practical examples that will help you write concurrent non-blocking code *Improve the overall execution speed in multiprocessor and multicore systems Book Description The primary requirements of modern-day applications are scalability, speed, and making the most use of hardware. Kotlin meets these requirements with its immense support for concurrency. Many concurrent primitives of Kotlin, such as channels and suspending functions, are designed to be non-blocking and efficient. This allows for new approaches to concurrency and creates unique challenges for the design and implementation of concurrent code. Learning Concurrency in Kotlin addresses those challenges with real-life examples and exercises that take advantage of Kotlin's primitives. Beginning with an introduction to Kotlin's coroutines, you will learn how to write concurrent code and understand the fundamental concepts needed to be able to write multithreaded software in Kotlin. You'll explore how to communicate between and synchronize your threads and coroutines to write asynchronous applications that are collaborative. You'll also learn how to handle errors and exceptions, as well as how to leverage multi-core processing. In addition to this, you’ll delve into how coroutines work internally, allowing you to see the bigger picture. Throughout the book you'll build an Android application – an RSS reader – designed and implemented according to the different topics covered in the book What you will learn *Understand Kotlin’s approach to concurrency *Implement sequential and asynchronous suspending functions *Create suspending data sources that are resumed on demand *Explore the best practices for error handling *Use channels to communicate between coroutines *Uncover how coroutines work under the hood Who this book is for If you’re a Kotlin or Android developer interested in learning how to program concurrently to enhance the performance of your applications, this is the book for you.

Bring your data to life with Power BI Key Features *Get to grips with the fundamentals of Microsoft Power BI and its Business Intelligence capabilities *Build accurate analytical models, reports and dashboards? *Get faster and more intuitive insights from your data using Microsoft Power BI Book Description Microsoft Power BI is a cloud-based service that helps you easily visualize and share insights using your organization's data.This book will get you started with business intelligence using the Power BI toolset, covering essential concepts such as installation,designing effective data models, as well as building basic dashboards and visualizations to make your data come to life You will learn how to get your data the way you want – connecting to data sources sources and how to clean your data with the Power BI Query Editor. You will next learn how to properly design your data model to make your data easier to work with.. You will next learn how to properly design your data model to navigate table relationships and build DAX formulas to make your data easier to work with. Visualizing your data is another key element of this book, and you will learn how to follow proper data visualization styles and enhanced digital storytelling techniques. By the end of this book, you will understand how to administer your organization's Power BI environment so deployment can be made seamless, data refreshes can run properly, and security can be fully implemented What you will learn *Connect to data sources using both import and DirectQuery options *Use the Query Editor to apply data transformations and data cleansing processes, including learning how to write M and R scripts *Design optimized data models by designing relationships and DAX calculations *Leverage built-in and custom visuals to design effective reports *Use the Power BI Desktop and Power BI Service to implement Row Level Security on your model *Administer a Power BI cloud tenant for your organization *Deploy your Power BI Desktop files into the Power BI Report Server Who this book is for This book is for aspiring Business Intelligence professionals who want to get up and running with Microsoft Power BI. If you have a basic understanding of BI concepts and want to learn how to apply them using Microsoft Power BI, this book is for you.

Quickly learn and employ practical recipes for developing real-world, cross-platform applications using Delphi. Key Features *Get to grips with Delphi to build and deploy various cross-platform applications *Design and deploy real-world apps by implementing a single source codebase *Build robust and optimized GUI applications with ease Book Description Delphi is a cross-platform integrated development environment (IDE) that supports rapid application development on different platforms, saving you the pain of wandering amid GUI widget details or having to tackle inter-platform incompatibilities. Delphi Cookbook begins with the basics of Delphi and gets you acquainted with JSON format strings, XSLT transformations, Unicode encodings, and various types of streams. You’ll then move on to more advanced topics such as developing higher-order functions and using enumerators and run-time type information (RTTI). As you make your way through the chapters, you’ll understand Delphi RTL functions, use FireMonkey in a VCL application, and cover topics such as multithreading, using aparallel programming library and deploying Delphi on a server. You’ll take a look at the new feature of WebBroker Apache modules, join the mobile revolution with FireMonkey, and learn to build data-driven mobile user interfaces using the FireDAC database access framework. This book will also show you how to integrate your apps with Internet of Things (IoT). By the end of the book, you will have become proficient in Delphi by exploring its different aspects such as building cross-platforms and mobile applications, designing server-side programs, and integrating these programs with IoT. What you will learn * Develop visually stunning applications using FireMonkey *Deploy LiveBinding effectively with the right object-oriented programming (OOP) approach *Create RESTful web services that run on Linux or Windows *Build mobile apps that read data from a remote server efficiently *Call platform native API on Android and iOS for an unpublished API *Manage software customization by making better use of an extended RTTI *Integrate your application with IOT Who this book is for Delphi Cookbook is for intermediate developers with a basic knowledge of Delphi who want to discover and understand all the development possibilities offered by it.

Explore TensorFlow's capabilities to perform efficient deep learning on images Key Features *Discover image processing for machine vision *Build an effective image classification system using the power of CNNs *Leverage TensorFlow’s capabilities to perform efficient deep learning Book Description TensorFlow is Google’s popular offering for machine learning and deep learning, quickly becoming a favorite tool for performing fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations of real-world projects, teaching you how to leverage TensorFlow’s capabilities to perform efficient image processing using the power of deep learning. With the help of this book, you will get to grips with the different paradigms of performing deep learning such as deep neural nets and convolutional neural networks, followed by understanding how they can be implemented using TensorFlow. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow and Keras. What you will learn *Build machine learning models particularly focused on the MNIST digits *Work with Docker and Keras to build an image classifier *Understand natural language models to process text and images *Prepare your dataset for machine learning *Create classical, convolutional, and deep neural networks *Create a RESTful image classification server Who this book is for Hands-On Deep Learning for Images with TensorFlow is for you if you are an application developer, data scientist, or machine learning practitioner looking to integrate machine learning into application software and master deep learning by implementing practical projects in TensorFlow. Knowledge of Python programming and basics of deep learning are required to get the best out of this book.

Build modern, fast, and progressive web applications using modern features of PHP 7 and TypeScript Key Features *Explore the latest features of Angular and Laravel to build applications that are powerful, consistent, and maintainable *Develop modern user interfaces with a reusable component-based architecture using Angular 6 and Bootstrap 4 *Learn how to build secure backend APIs with Laravel Book Description Angular, considered as one of the most popular and powerful frontend frameworks, has undergone a major overhaul to embrace emerging web technologies so that developers can build cutting-edge web applications. This book gives you practical knowledge of building modern full-stack web apps from scratch using Angular with a Laravel Restful back end. The book begins with a thorough introduction to Laravel and Angular and its core concepts like custom errors messages, components, routers, and Angular-cli, with each concept being explained first, and then put into practice in the case-study project. With the basics covered, you will learn how sophisticated UI features can be added using NgBootstrao and a component-based architecture. You will learn to extend and customize variables from Bootstrap CSS framework. You will learn how to create secure web application with Angular and Laravel using token based authentication. Finally, you will learn all about progressive web applications and build and deploy a complete fullstack application using Docker and Docker-compose. By the end of this book, you'll gain a solid understanding of Angular 6 and how it interacts with a Laravel 5.x backend What you will learn *Explore the core features of Angular 6 to create sophisticated user interfaces *Use Laravel 5 to its full extent to create a versatile backend layer based on RESTful APIs *Configure a web application in order to accept user-defined data and persist it into the database using server-side APIs *Build an off-line-first application using service-worker and manifest file *Deal with token based authentication on single page application (SPA). *Secure your application against threats and vulnerabilities in a time efficient way *Deploy using Docker and Docker-compose Who this book is for This book targets developers who are new to Angular, Laravel, or both, and are seeking a practical, best-practice approach to development with these technologies. They must have some knowledge of HTML, CSS and JavaScript. Familiarity of PHP is assumed to get the most from this book.

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web Key Features *Build industry-standard recommender systems *Only familiarity with Python is required *No need to wade through complicated machine learning theory to use this book Book Description Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether it's friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform. This book shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory—you'll get started with building and learning about recommenders as quickly as possible.. In this book, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You'll use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques? With this book, all you need to get started with building recommendation systems is a familiarity with Python, and by the time you're fnished, you will have a great grasp of how recommenders work and be in a strong position to apply the techniques that you will learn to your own problem domains. What you will learn *Get to grips with the different kinds of recommender systems *Master data-wrangling techniques using the pandas library *Building an IMDB Top 250 Clone *Build a content based engine to recommend movies based on movie metadata *Employ data-mining techniques used in building recommenders *Build industry-standard collaborative filters using powerful algorithms *Building Hybrid Recommenders that incorporate content based and collaborative fltering Who this book is for If you are a Python developer and want to develop applications for social networking, news personalization or smart advertising, this is the book for you. Basic knowledge of machine learning techniques will be helpful, but not mandatory.

Develop intelligent voice-empowered applications and Chatbots that not only understand voice commands but also respond to it Key Features *Target multiple platforms by creating voice interactions for your applications *Explore real-world examples of how to produce smart and practical virtual assistants *Build a virtual assistant for cars using Android Auto in Xamarin Book Description From touchscreen and mouse-click, we are moving to voice- and conversation-based user interfaces. By adopting Voice User Interfaces (VUIs), you can create a more compelling and engaging experience for your users. Voice User Interface Projects teaches you how to develop voice-enabled applications for desktop, mobile, and Internet of Things (IoT) devices. This book explains in detail VUI and its importance, basic design principles of VUI, fundamentals of conversation, and the different voice-enabled applications available in the market. You will learn how to build your first voice-enabled application by utilizing DialogFlow and Alexa’s natural language processing (NLP) platform. Once you are comfortable with building voice-enabled applications, you will understand how to dynamically process and respond to the questions by using NodeJS server deployed to the cloud. You will then move on to securing NodeJS RESTful API for DialogFlow and Alexa webhooks, creating unit tests and building voice-enabled podcasts for cars. Last but not the least you will discover advanced topics such as handling sessions, creating custom intents, and extending built-in intents in order to build conversational VUIs that will help engage the users. By the end of the book, you will have grasped a thorough knowledge of how to design and develop interactive VUIs. What you will learn *Understand NLP platforms with machine learning *Exploit best practices and user experiences in creating VUI *Build voice-enabled chatbots *Host, secure, and test in a cloud platform *Create voice-enabled applications for personal digital assistant devices *Develop a virtual assistant for cars Who this book is for Voice User Interface Projects is for you if you are a software engineer who wants to develop voice-enabled applications for your personal digital assistant devices such as Amazon Echo and Google Home, along with your car’s virtual assistant systems. Some experience with JavaScript is required.

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence About This Book ? Learn to build and run a big data application with sample code ? Explore examples to implement activities that a big data architect performs ? Use Machine Learning and AI for structured and unstructured data Who This Book Is For Big Data Architect’s Handbook is for you if you are an aspiring data professional, developer, or IT enthusiast who aims to be an all-round architect in big data. This book is your one-stop solution to enhance your knowledge and carry out easy to complex activities required to become a big data architect. What You Will Learn ? Learn Hadoop Ecosystem and Apache projects ? Understand, compare NoSQL database and essential software architecture ? Cloud infrastructure design considerations for big data ? Explore application scenario of big data tools for daily activities ? Learn to analyze and visualize results to uncover valuable insights ? Build and run a big data application with sample code from end to end ? Apply Machine Learning and AI to perform big data intelligence ? Practice the daily activities performed by big data architects In Detail The big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights. Big Data Architect’s Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data solution. By the end of this book, you will be able to build your own design system which integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action. Style and approach Comprehensive guide with a perfect blend of theory, examples and implementation of real-world use-cases

Protect your network as you move from the basics of the Wireshark scenarios to detecting and resolving network anomalies. About This Book ? Learn protocol analysis, optimization and troubleshooting using Wireshark, an open source tool ? Learn the usage of filtering and statistical tools to ease your troubleshooting job ? Quickly perform root-cause analysis over your network in an event of network failure or a security breach Who This Book Is For If you are a security professional or a network enthusiast who is interested in understanding the internal working of networks and packets, then this book is for you. No prior knowledge of Wireshark is needed. What You Will Learn ? Learn how TCP/IP works? ? Install Wireshark and understand its GUI ? Creation and Usage of Filters to ease analysis process ? Understand the usual and unusual behaviour of Protocols ? Troubleshoot network anomalies quickly with help of Wireshark ? Use Wireshark as a diagnostic tool for network security analysis to identify source of malware ? Decrypting wireless traffic ? Resolve latencies and bottleneck issues in the network In Detail Wireshark is an open source protocol analyser, commonly used among the network and security professionals. Currently being developed and maintained by volunteer contributions of networking experts from all over the globe. Wireshark is mainly used to analyze network traffic, analyse network issues, analyse protocol behaviour, etc. - it lets you see what's going on in your network at a granular level. This book takes you from the basics of the Wireshark environment to detecting and resolving network anomalies. This book will start from the basics of setting up your Wireshark environment and will walk you through the fundamentals of networking and packet analysis. As you make your way through the chapters, you will discover different ways to analyse network traffic through creation and usage of filters and statistical features. You will look at network security packet analysis, command-line utilities, and other advanced tools that will come in handy when working with day-to-day network operations. By the end of this book, you have enough skill with Wireshark 2 to overcome real-world network challenges. Style and approach Learn and practice the skills of protocol and network analysis using the tool of the pros, Wireshark.

Design, simulate, and program interactive robots About This Book ? Design, simulate, build, and program an interactive autonomous mobile robot ? Leverage the power of ROS, Gazebo, and Python to enhance your robotic skills ? A hands-on guide to creating an autonomous mobile robot with the help of ROS and Python Who This Book Is For This book is for those who are conducting research in mobile robotics and autonomous navigation. As well as the robotics research domain, this book is also for the robot hobbyist community. You’re expected to have a basic understanding of Linux commands and Python. What You Will Learn ? Design a differential robot from scratch ? Model a differential robot using ROS and URDF ? Simulate a differential robot using ROS and Gazebo ? Design robot hardware electronics ? Interface robot actuators with embedded boards ? Explore the interfacing of different 3D depth cameras in ROS ? Implement autonomous navigation in ChefBot ? Create a GUI for robot control In Detail Robot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implementing different capabilities in a robot without implementing them from scratch. This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots. Then, you'll learn about robot modeling and how to design and simulate it using ROS. Moving on, we'll design robot hardware and interfacing actuators. Then, you'll learn to configure and program depth sensors and LIDARs using ROS. Finally, you'll create a GUI for your robot using the Qt framework. By the end of this tutorial, you'll have a clear idea of how to integrate and assemble everything into a robot and how to bundle the software package. Style and approach A step-by-step guide which will help you to create an autonomous mobile robot with the help of ROS and Python. It will help you to understand and implement the fundamental concepts of differential robots and teach you to create differential robot’s simulation using Gazebo.