Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator Key Features *Explore the OpenAI Gym toolkit and interface to use over 700 learning tasks *Implement agents to solve simple to complex AI problems *Study learning environments and discover how to create your own Book Description Many real-world problems can be broken down into tasks that require a series of decisions to be made or actions to be taken. The ability to solve such tasks without a machine being programmed requires a machine to be artificially intelligent and capable of learning to adapt. This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks. Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting from the implementation of the building blocks for configuring, training, logging, visualizing, testing, and monitoring the agent. You will walk through the process of building intelligent agents from scratch to perform a variety of tasks. In the closing chapters, the book provides an overview of the latest learning environments and learning algorithms, along with pointers to more resources that will help you take your deep reinforcement learning skills to the next level. What you will learn *Explore intelligent agents and learning environments *Understand the basics of RL and deep RL *Get started with OpenAI Gym and PyTorch for deep reinforcement learning *Discover deep Q learning agents to solve discrete optimal control tasks *Create custom learning environments for real-world problems *Apply a deep actor-critic agent to drive a car autonomously in CARLA *Use the latest learning environments and algorithms to upgrade your intelligent agent development skills Who this book is for If you’re a student, game/machine learning developer, or AI enthusiast looking to get started with building intelligent agents and algorithms to solve a variety of problems with the OpenAI Gym interface, this book is for you. You will also find this book useful if you want to learn how to build deep reinforcement learning-based agents to solve problems in your domain of interest. Though the book covers all the basic concepts that you need to know, some working knowledge of Python programming language will help you get the most out of it.

Build, design, and style beautiful and informative applications on the Salesforce Lightning platform Key Features *Build and Test Lightning Components that enhance application usability and adaptability *Apply Security Best Practices to your Custom Lightning Components *Design Lightning Components for Salesforce UIs such as Lightning Pages, Salesforce 1 Application, Communities, and more. Book Description Built on the Salesforce App Cloud, the new Salesforce Lightning Experience combines three major components: Lightning Design System, Lightning App Builder, and Lightning Components, to provide an enhanced user experience. This book will enable you to quickly create modern, enterprise apps with Lightning Component Framework. You will start by building simple Lightning Components and understanding the Lightning Components architecture. The chapters cover the basics of Lightning Component Framework semantics and syntax, the security features provided by Locker Service, and use of third-party libraries inside Lightning Components. The later chapters focus on debugging, performance tuning, testing using Lightning Testing Services, and how to publish Lightning Components on Salesforce AppExchange. What you will learn *Understand Lightning Components architecture *Learn Locker security best practices *Debug and Improve performance of your Lightning Components *Use third-party libraries along with Lightning Component Framework *Learn how to publish Lightning Components on AppExchange *Use Lightning Out to take your Lightning Components outside the Salesforce platform Who this book is for This book is for Salesforce developers or developers from other platforms who are familiar with HTML, CSS, and JavaScript and want to build and test Salesforce Lightning components. No knowledge of Salesforce Lightning is required.

If your application source code is overly verbose, it can be a nightmare to maintain. Write concise and expressive, type-safe code in an environment that lets you build for the JVM, browser, and more. Key Features *Expert guidance that shows you to efficiently use both object-oriented and functional programming techniques *Understand functional programming libraries, such as Cats and Scalaz, and use them to augment your Scala development *Perfectly balances theory and hands-on exercises, assessments, and activities Book Description This book teaches you how to build and contribute to Scala programs, recognizing common patterns and techniques used with the language. You’ll learn how to write concise, functional code with Scala. After an introduction to core concepts, syntax, and writing example applications with scalac, you’ll learn about the Scala Collections API and how the language handles type safety via static types out-of-the-box. You’ll then learn about advanced functional programming patterns, and how you can write your own Domain Specific Languages (DSLs). By the end of the book, you’ll be equipped with the skills you need to successfully build smart, efficient applications in Scala that can be compiled to the JVM. What you will learn *Understand the key language syntax and core concepts for application development *Master the type system to create scalable type-safe applications while cutting down your time spent debugging *Understand how you can work with advanced data structures via built-in features such as the Collections library *Use classes, objects, and traits to transform a trivial chatbot program into a useful assistant *Understand what are pure functions, immutability, and higher-order functions *Recognize and implement popular functional programming design patterns Who this book is for This is an ideal book for developers who are looking to learn Scala, and is particularly well suited for Java developers looking to migrate across to Scala for application development on the JVM.

Build smart applications by implementing real-world artificial intelligence projects Key Features *Explore a variety of AI projects with Python *Get well-versed with different types of neural networks and popular deep learning algorithms *Leverage popular Python deep learning libraries for your AI projects Book Description Artificial Intelligence (AI) is the newest technology that’s being employed among varied businesses, industries, and sectors. Python Artificial Intelligence Projects for Beginners demonstrates AI projects in Python, covering modern techniques that make up the world of Artificial Intelligence. This book begins with helping you to build your first prediction model using the popular Python library, scikit-learn. You will understand how to build a classifier using an effective machine learning technique, random forest, and decision trees. With exciting projects on predicting bird species, analyzing student performance data, song genre identification, and spam detection, you will learn the fundamentals and various algorithms and techniques that foster the development of these smart applications. In the concluding chapters, you will also understand deep learning and neural network mechanisms through these projects with the help of the Keras library. By the end of this book, you will be confident in building your own AI projects with Python and be ready to take on more advanced projects as you progress What you will learn *Build a prediction model using decision trees and random forest *Use neural networks, decision trees, and random forests for classification *Detect YouTube comment spam with a bag-of-words and random forests *Identify handwritten mathematical symbols with convolutional neural networks *Revise the bird species identifier to use images *Learn to detect positive and negative sentiment in user reviews Who this book is for Python Artificial Intelligence Projects for Beginners is for Python developers who want to take their first step into the world of Artificial Intelligence using easy-to-follow projects. Basic working knowledge of Python programming is expected so that you’re able to play around with code

Develop, test, and deploy decentralized applications for Ethereum platform About This Book ? Build your first Ethereum Dapp with Truffle: the most popular Ethereum development framework ? Build, compile, and deploy smart contracts in your development environment ? Embrace Blockchains and utilize it to create new generation of secured and scalable apps Who This Book Is For This book is for web developers who are interested in the new world blockchain. Some basic understanding of JavaScript and web services is required. No prior knowledge of Decentralized applications or blockchain is required. What You Will Learn ? Understand the fundamentals of Truffle and Web3 ? Build a decentralized application with Truffle, while choosing the correct Ethereum client ? Connect your Dapp to Ethereum clients including Geth, Parity, and Ganache ? Migrate and test your Dapp with the correct networks such as Ropsten and Rinkeby ? Package a decentralized application into a user-friendly product by integrating Truffle with JavaScript frameworks such as Angular, React and Vue ? Explore tools including Ethereum Package Manager, the Registrar and browser wallets, and exploit third-party smart contract libraries. ? Evaluate the common migration pitfalls and how to mitigate them In Detail Truffle is a world-class development environment, testing framework and asset pipeline for Ethereum, aiming to make life as an Ethereum developer easier. If you are a web developer wanting to try your hand at developing Dapps with Truffle, then this is the book for you. This book will teach you to write smart contracts and build Dapps with Truffle. You will begin with covering the basics of Truffle, briefly explaining how it integrates Solidity and Web3, in orderto start building a mini decentralized application. Also, you will dive into migration, testing and integrating Truffle with the use of popular JavaScript frameworks. Lastly, you will ship your decentralized application and package it into a product. Moreover, you will go through the best practices in Truffle,so as to increase your proficiency in building Dapps with Truffle. By the end of the book, you will be able to write smart contracts and build decentralized applications with Truffle on Ethereum blockchains. Style and approach An intuitive, step-by-step and engaging guide that will teach you to build a real-world, decentralized application with Truffle.

Bring realism to your games by mastering post-processing effects and advanced shading techniques in Unity 2018 About This Book ? Learn the secrets of creating AAA quality shaders without writing long algorithms ? Master shader programming through easy-to-follow examples ? Create stunning visual effects that can be used in 3D games Who This Book Is For Unity Shaders and Effects Cookbook is for developers who want to create their first shaders in Unity 2018 or wish to take their game to a whole new level by adding professional post-processing effects. A solid understanding of Unity is required to get the most from this book. What You Will Learn ? Understand physically based rendering to fit the aesthetic of your game ? Write shaders from scratch in ShaderLab and HLSL/Cg ? Combine shader programming with interactive scripts to add life to your materials ? Design efficient shaders for mobile platforms without sacrificing their realism ? Use state-of-the-art techniques, such as volumetric explosions and fur shading ? Master the math and algorithms behind the most used lighting models ? Understand how shader models have evolved and how you can create your own In Detail Since their introduction to Unity, shaders have been seen as notoriously difficult to understand and implement in games. Complex mathematics has always stood in the way of creating your own shaders and attaining the level of realism you crave. Unity 2018 Shaders and Effects Cookbook changes that by giving you a recipe-based guide to creating shaders using Unity. It will show you everything you need to know about vectors, how lighting is constructed with them, and how textures are used to create complex effects without the heavy math. This book starts by teaching you how to use shaders without writing code with the post-processing stack. Then, you’ll learn how to write shaders from scratch, build up essential lighting, and finish by creating stunning screen effects just like those in high-quality 3D and mobile games. You'll discover techniques, such as normal mapping, image-based lighting, and animating your models inside a shader. We'll explore how to use physically based rendering to treat light the way it behaves in the real world. At the end, we’ll even look at Unity 2018’s new Shader Graph system. With this book, what seems like a dark art today will be second nature by tomorrow. Style and approach The recipes in this book contain step-by-step instructions, complemented with screenshots, code, and real-world examples.

Enterprise Agility is practical framework for enhancing Agility and equipping your company with the tools to survive. About This Book ? Prepare your company to navigate the rapidly-moving business world ? Enhance Agility in every component of your organization ? Build a framework that meets the unique requirements of your enterprise Who This Book Is For Enterprise Agility is a tool for anyone with the motivation to influence outcomes in an enterprise, who aspires to improve Agility. Readers from the following backgrounds will benefit: chief executive officer, chief information officer, people/human resource director, information technology director, head of change program, head of transformation, and Agile coach/consultant. What You Will Learn ? Drive agility-oriented change across the enterprise ? Understand why agility matters (more than ever) to modern enterprises ? Adopt and influence an Agile mindset in your teams and in your organization ? Understand the concept of a CAS and how to model enterprise and leadership behaviors on CAS characteristics to enhance enterprise agility ? Understand and convey the differences between Agile and true enterprise agility ? Create an enterprise-specific action plan to enhance agility ? Become a champion for enterprise agility ? Recognize the advantages and challenges of distributed teams, and how Agile ways of working can remedy the rough spots ? Enable and motivate your IT partners to adopt Agile ways of working In Detail The biggest challenge enterprises face today is dealing with fast-paced change in all spheres of business. Enterprise Agility shows how an enterprise can address this challenge head on and thrive in the dynamic environment. Avoiding the mechanistic construction of existing enterprises that focus on predictability and certainty, Enterprise Agility delivers practical advice for responding and adapting to the scale and accelerating pace of disruptive change in the business environment. Agility is a fundamental shift in thinking about how enterprises work to effectively deal with disruptive changes in the business environment. The core belief underlying agility is that enterprises are open and living systems. These living systems, also known as complex adaptive systems (CAS), are ideally suited to deal with change very effectively. Agility is to enterprises what health is to humans. There are some foundational principles that can be broadly applied, but the definition of healthy is very specific to each individual. Enterprise Agility takes a similar approach with regard to agility: it suggests foundational practices to improve the overall health of the body—culture, mindset, and leadership—and the health of its various organs: people, process, governance, structure, technology, and customers. The book also suggests a practical framework to create a plan to enhance agility. Style and approach Enterprise Agility is a step-by-step guide to facing change and uncertainty head-on. The books provides practical ways to apply Agile methodologies and boost Agility throughout a business.

Learn how to implement the reactive programming paradigm with C++ and build asynchronous and concurrent applications About This Book ? Efficiently exploit concurrency and parallelism in your programs ? Use the Functional Reactive programming model to structure programs ? Understand reactive GUI programming to make your own applications using Qt Who This Book Is For If you’re a C++ developer interested in using reactive programming to build asynchronous and concurrent applications, you’ll find this book extremely useful. This book doesn’t assume any previous knowledge of reactive programming. What You Will Learn ? Understand language-level concurrency in C++ ? Explore advanced C++ programming for the FRP ? Uncover the RxCpp library and its programming model ? Mix the FP and OOP constructs in C++ 17 to write well-structured programs ? Master reactive microservices in C++ ? Create custom operators for RxCpp ? Learn advanced stream processing and error handling In Detail Reactive programming is an effective way to build highly responsive applications with an easy-to-maintain code base. This book covers the essential functional reactive concepts that will help you build highly concurrent, event-driven, and asynchronous applications in a simpler and less error-prone way. C++ Reactive Programming begins with a discussion on how event processing was undertaken by different programming systems earlier. After a brisk introduction to modern C++ (C++17), you’ll be taken through language-level concurrency and the lock-free programming model to set the stage for our foray into the Functional Programming model. Following this, you’ll be introduced to RxCpp and its programming model. You’ll be able to gain deep insights into the RxCpp library, which facilitates reactive programming. You’ll learn how to deal with reactive programming using Qt/C++ (for the desktop) and C++ microservices for the Web. By the end of the book, you will be well versed with advanced reactive programming concepts in modern C++ (C++17). Style and approach The book includes real-world problems that you will solve with the reactive programming model. It highlights the way event processing has evolved in the programming world.

Build enterprise-grade microservice ecosystems with intensive case studies using C# About This Book ? Learn to build message-based microservices ? Packed with case studies to explain the intricacies of large-scale microservices ? Build scalable, modular, and robust architectures with C# Who This Book Is For C# developers, software architects, and professionals who want to master the art of designing the microservice architecture that is scalable based on environment. Developers should have a basic understanding of.NET application development using C# and Visual Studio What You Will Learn ? Explore different open source tools within the context of designing microservices ? Learn to provide insulation to exception-prone function calls ? Build common messages used between microservices for communication ? Learn to create a microservice using our base class and interface ? Design a quantitative financial machine microservice ? Learn to design a microservice that is capable of using Blockchain technology In Detail C# is a powerful language when it comes to building applications and software architecture using rich libraries and tools such as .NET. This book will harness the strength of C# in developing microservices architectures and applications. This book shows developers how to develop an enterprise-grade, event-driven, asynchronous, message-based microservice framework using C#, .NET, and various open source tools. We will discuss how to send and receive messages, how to design many types of microservice that are truly usable in a corporate environment. We will also dissect each case and explain the code, best practices, pros and cons, and more. Through our journey, we will use many open source tools, and create file monitors, a machine learning microservice, a quantitative financial microservice that can handle bonds and credit default swaps, a deployment microservice to show you how to better manage your deployments, and memory, health status, and other microservices. By the end of this book, you will have a complete microservice ecosystem you can place into production or customize in no time. Style and approach A step-by-step guide that enables readers to create a complete microservice ecosystem they can place into production or customize in no time.

Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and Unity About This Book ? Learn how to apply core machine learning concepts to your games with Unity ? Learn the Fundamentals of Reinforcement Learning and Q-Learning and apply them to your games ? Learn How to build multiple asynchronous agents and run them in a training scenario Who This Book Is For This book is intended for developers with an interest in using Machine learning algorithms to develop better games and simulations with Unity. The reader will be required to have a working knowledge of C# and a basic understanding of Python. What You Will Learn ? Develop Reinforcement and Deep Reinforcement Learning for games. ? Understand complex and advanced concepts of reinforcement learning and neural networks ? Explore various training strategies for cooperative and competitive agent development ? Adapt the basic script components of Academy, Agent, and Brain to be used with Q Learning. ? Enhance the Q Learning model with improved training strategies such as Greedy-Epsilon exploration ? Implement a simple NN with Keras and use it as an external brain in Unity ? Understand how to add LTSM blocks to an existing DQN ? Build multiple asynchronous agents and run them in a training scenario In Detail Unity Machine Learning agents allow researchers and developers to create games and simulations using the Unity Editor, which serves as an environment where intelligent agents can be trained with machine learning methods through a simple-to-use Python API. This book takes you from the basics of Reinforcement and Q Learning to building Deep Recurrent Q-Network agents that cooperate or compete in a multi-agent ecosystem. You will start with the basics of Reinforcement Learning and how to apply it to problems. Then you will learn how to build self-learning advanced neural networks with Python and Keras/TensorFlow. From there you move o n to more advanced training scenarios where you will learn further innovative ways to train your network with A3C, imitation, and curriculum learning models. By the end of the book, you will have learned how to build more complex environments by building a cooperative and competitive multi-agent ecosystem. Style and approach This book focuses on the foundations of ML, RL and DL for building agents in a game or simulation

Use Java features such as JAX-RS, EJBs, and JPAs to build powerful middleware for newer architectures such as the cloud About This Book ? Explore EJBs to build middleware solutions for enterprise and distributed applications ? Understand middleware designs such as event-based and message-driven web services ? Learn to design and maintain large-scale systems and vendor disputes Who This Book Is For Enterprise architects, designers, developers, and programmers who are interested in learning how to build robust middleware solutions for enterprise software will find this book useful. Prior knowledge of Java EE is essential What You Will Learn ? Implement the latest Java EE 8 APIs and manage dependencies with CDI 2.0 ? Perform CRUD operations and access databases with JPA 2.1 ? Use bean validation API 2.0 to validate data ? Develop business logic with EJB 3.2 ? Incorporate the REST architecture and RESTful API design patterns ? Perform serialization and deserialization on JSON documents using JSON-B ? Utilize JMS for messaging and queuing models and securing applications ? Test applications using JUnit and Mockito and deploy them using Docker In Detail Middleware is the infrastructure in software based applications that enables businesses to solve problems, operate more efficiently, and make money. As the use of middleware extends beyond a single application, the importance of having it written by experts increases substantially. This book will help you become an expert in developing middleware for a variety of applications. The book starts off by exploring the latest Java EE 8 APIs with newer features and managing dependencies with CDI 2.0. You will learn to implement object-to-relational mapping using JPA 2.1 and validate data using bean validation. You will also work with different types of EJB to develop business logic, and with design RESTful APIs by utilizing different HTTP methods and activating JAX-RS features in enterprise applications. You will learn to secure your middleware with Java Security 1.0 and implement various authentication techniques, such as OAuth authentication. In the concluding chapters, you will use various test technologies, such as JUnit and Mockito, to test applications, and Docker to deploy your enterprise applications. By the end of the book, you will be proficient in developing robust, effective, and distributed middleware for your business. Style and approach Learn how to design and implement professional enterprise middleware solutions using the latest techniques and features provided by the Java EE 8 platform.

This book will give you an all encompassing view of the domain name ecosystem combined with a comprehensive set of operations strategies. About This Book ? Manage infrastructure, risk, and management of DNS name servers. Get hands-on with factors like types of name servers, DNS queries and and so on. ? Practical guide for system administrators to manage mission-critical servers ? Based on real-world experience - Written by an industry veteran who has made every possible mistake within this field. Who This Book Is For Ideal for sysadmins, webmasters, IT consultants, and developers-anyone responsible for maintaining your organization's core DNS What You Will Learn ? Anatomy of a domain - how a domain is the sum of both its DNS zone and its registration data, and why that matters. ? The domain name ecosystem - the role of registries, registrars and oversight bodies and their effect on your names. ? How DNS queries work - queries and responses are examined including debugging techniques to zero in on problems. ? Nameserver considerations - alternative nameserver daemons, numbering considerations, and deployment architectures. ? DNS use cases - the right way for basic operations such as domain transfers, large scale migrations, GeoDNS, Anycast DNS. ? Securing your domains - All aspects of security from registrar vendor selection, to DNSSEC and DDOS mitigation strategies. In Detail Managing your organization's naming architecture and mitigating risks within complex naming environments is very important. This book will go beyond looking at “how to run a name server” or “how to DNSSEC sign a domain”, Managing Mission Critical Domains & DNS looks across the entire spectrum of naming; from external factors that exert influence on your domains to all the internal factors to consider when operating your DNS. The readers are taken on a comprehensive guided tour through the world of naming: from understanding the role of registrars and how they interact with registries, to what exactly is it that ICANN does anyway? Once the prerequisite knowledge of the domain name ecosystem is acquired, the readers are taken through all aspects of DNS operations. Whether your organization operates its own nameservers or utilizes an outsourced vendor, or both, we examine the complex web of interlocking factors that must be taken into account but are too frequently overlooked. By the end of this book, our readers will have an end to end to understanding of all the aspects covered in DNS name servers. Style and approach The book is divided into two parts, the first part looks at the wider domain name ecosystem: registries, registrars and oversight policies. The second and larger part goes into operations. Every aspect of naming is considered from the viewpoint of how this affects ones domains, what are the ramifications of different operating methods as portfolios scale.

Find out how to create visually stunning and feature-rich applications by empowering Python's built-in Tkinter GUI toolkit About This Book ? Explore Tkinter's powerful features to easily design and customize your GUI application ? Learn the basics of 2D and 3D animation in GUI applications. ? Learn to integrate stunning Data Visualizations using Tkinter Canvas and Matplotlib. Who This Book Is For This book will appeal to developers and programmers who would like to build GUI-based applications. Knowledge of Python is a prerequisite. What You Will Learn ? Implement the tools provided by Tkinter to design beautiful GUIs ? Discover cross-platform development through minor customizations in your existing application ? Visualize graphs in real time as data comes in using Tkinter's animation capabilities ? Use PostgreSQL authentication to ensure data security for your application ? Write unit tests to avoid regressions when updating code In Detail Tkinter is a lightweight, portable, and easy-to-use graphical toolkit available in the Python Standard Library, widely used to build Python GUIs due to its simplicity and availability. This book teaches you to design and build graphical user interfaces that are functional, appealing, and user-friendly using the powerful combination of Python and Tkinter. After being introduced to Tkinter, you will be guided step-by-step through the application development process. Over the course of the book, your application will evolve from a simple data-entry form to a complex data management and visualization tool while maintaining a clean and robust design. In addition to building the GUI, you'll learn how to connect to external databases and network resources, test your code to avoid errors, and maximize performance using asynchronous programming. You'll make the most of Tkinter's cross-platform availability by learning how to maintain compatibility, mimic platform-native look and feel, and build executables for deployment across popular computing platforms. By the end of this book, you will have the skills and confidence to design and build powerful high-end GUI applications to solve real-world problems. Style and approach This is a comprehensive guide that explores the essential Tkinter features and modules and implements them in building real-world cross-platform GUI applications

Learn to build a full-fledged application in Spring and Kotlin taking a reactive, microservice-based approach for scalability and robustness in the cloud About This Book ? Build a full-fledged application in Spring and Kotlin ? Architect your application to take a microservice-based approach in the cloud ? Integrate your application with a variety of Spring components Who This Book Is For Developers comfortable using Spring who have basic knowledge of Kotlin and want to take their development skills to the next level and build enterprise-grade applications will benefit from this book. What You Will Learn ? Explore Spring 5 concepts with Kotlin ? Learn both dependency injections and complex configurations ? Utilize Spring Data, Spring Cloud, and Spring Security in your applications ? Create efficient reactive systems with Project Reactor ? Write unit tests for your Spring/Kotlin applications ? Deploy applications on cloud platforms like AWS In Detail Kotlin is being used widely by developers because of its light weight, built-in null safety, and functional and reactive programming aspects. Kotlin shares the same pragmatic, innovative and opinionated mindset as Spring, so they work well together. Spring when combined with Kotlin helps you to reach a new level of productivity. This combination has helped developers to create Functional Applications using both the tools together. This book will teach you how to take advantage of these developments and build robust, scalable and reactive applications with ease. In this book, you will begin with an introduction to Spring and its setup with Kotlin. You will then dive into assessing the design considerations of your application. Then you will learn to use Spring (with Spring Boot) along with Kotlin to build a robust backend in a microservice architecture with a REST based collaboration, and leverage Project Reactor in your application. You’ll then learn how to integrate Spring Data and Spring Cloud to manage configurations for database interaction and cloud deployment. You’ll also learn to use Spring Security to beef up security of your application before testing it with the JUnit framework and then deploying it on a cloud platform like AWS. Style and approach Everything you learn will be demonstrated on real-world Spring project. In each chapter we will cover some of Spring features and apply it on our project. We will guide you from the project initialization till the project deployment.

Discover how to use the next-generation language Red for full-stack development, from systems coding over user-interfaces to blockchain programming About This Book ? Explore the latest features of Red to build scalable, fast, and secure applications ? Learn graphical programming and build highly sophisticated reactive applications ? Get familiar with the specific concepts and techniques of Red development, like working with series, viewing code as data, and using dialects. Who This Book Is For This book is for software developers and architects who want to learn Red because of its conciseness, flexibility, and expressiveness, and more specifically for its possibilities in GUI apps and blockchain / smart contracts programming. Some knowledge of the basic concepts and experience of any programming language is assumed. What You Will Learn ? Set up your Red environment to achieve the highest productivity ? Get grounded in Red, gaining experience and insight through many examples and exercises ? Build simple, compact, and portable applications ? Analyze streams of data through Parse ? Compose GUI applications with View and Draw ? Get prepared for smart contract blockchain programming in Red In Detail A key problem of software development today is software bloat, where huge toolchains and development environments are needed in software coding and deployment. Red significantly reduces this bloat by offering a minimalist but complete toolchain. This is the first introductory book about it, and it will get you up and running with Red as quickly as possible. This book shows you how to write effective functions, reduce code redundancies, and improve code reuse. It will be helpful for new programmers who are starting out with Red to explore its wide and ever-growing package ecosystem and also for experienced developers who want to add Red to their skill set. The book presents the fundamentals of programming in Red and in-depth informative examples using a step-by-step approach. You will be taken through concepts and examples such as doing simple metaprogramming, functions, collections, GUI applications, and more. By the end of the book, you will be fully equipped to start your own projects in Red. Style and approach This book will gently guide you step by step into the fascinating programming universe of the Red language, offering real-world examples and practical exercises to sharpen your insight.

Build next-generation Artificial Intelligence systems with Java About This Book ? Implement AI techniques to build smart applications using Deeplearning4j ? Perform big data analytics to derive quality insights using Spark MLlib ? Create self-learning systems using neural networks, NLP, and reinforcement learning Who This Book Is For This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus. What You Will Learn ? Manage Artificial Intelligence techniques for big data with Java ? Build smart systems to analyze data for enhanced customer experience ? Learn to use Artificial Intelligence frameworks for big data ? Understand complex problems with algorithms and Neuro-Fuzzy systems ? Design stratagems to leverage data using Machine Learning process ? Apply Deep Learning techniques to prepare data for modeling ? Construct models that learn from data using open source tools ? Analyze big data problems using scalable Machine Learning algorithms In Detail In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. Style and approach An easy-to-follow, step-by-step guide to help you get to grips with real-world applications of Artificial Intelligence for big data using Java

Explore the features included in the latest versions of MQTT for IoT and M2M communications and use them with modern Python 3. About This Book ? Make your connected devices less prone to attackers by understanding security mechanisms ? Take advantage of MQTT features for IoT and Machine-to-Machine communications ? The only book that covers MQTT with a single language, Python Who This Book Is For This book is for developers who want to learn about the MQTT protocol for their IoT projects. Prior knowledge of working with IoT and Python will be helpful. What You Will Learn ? Learn how MQTT and its lightweight messaging system work ? Understand the MQTT puzzle: clients, servers (formerly known as brokers), and connections ? Explore the features included in the latest versions of MQTT for IoT and M2M communications ? Publish and receive MQTT messages with Python ? Learn the difference between blocking and threaded network loops ? Take advantage of the last will and testament feature ? Work with cloud-based MQTT interfaces in Python In Detail MQTT is a lightweight messaging protocol for small sensors and mobile devices. This book explores the features of the latest versions of MQTT for IoT and M2M communications, how to use them with Python 3, and allow you to interact with sensors and actuators using Python. The book begins with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. You will use different utilities and diagrams to understand the most important concepts related to MQTT. You will learn to?make all the necessary configuration to work with digital certificates for encrypting all data sent between the MQTT clients and the server. You will also work with the different Quality of Service levels and later analyze and compare their overheads. You will write Python 3.x code to control a vehicle with MQTT messages delivered through encrypted connections (TLS 1.2), and learn how leverage your knowledge of the MQTT protocol to build a solution based on requirements. Towards the end, you will write Python code to use the PubNub cloud-based real-time MQTT provider to monitor a surfing competition. In the end, you will have a solution that was built from scratch by analyzing the requirements and then write Python code that will run on water-proof IoT boards connected to multiple sensors in surfboards. Style and approach This book shows you what MQTT is, and how to install and secure an MQTT server. You will write Python 3 code to control a vehicle with MQTT messages, test and improve, then monitor a surfing competition with cloud-based real-time MQTT providers.

Explore the latest features of Unity 2018 to create immersive VR projects for Oculus Rift, HTC Vive, Daydream and Gear VR About This Book ? A project-based guide to teach you how to develop immersive and fun VR applications using Unity 3D ? Build experiences with interactable objects, physics, UI, animations, C# scripting, and other Unity features ? Explore the world of VR by building experiences such as diorama, first-person characters, 360-degree projections, social VR, audio fireball game, and VR storytelling Who This Book Is For If you're a non-programmer unfamiliar with 3D computer graphics, or experienced in both but new to virtual reality, and are interested in building your own VR games or applications, then this book is for you. Any experience in Unity is an advantage. What You Will Learn ? Create 3D scenes with Unity and other 3D tools while learning about world space and scale ? Build and run VR applications for specific headsets, including Oculus, Vive, and Daydream ? Interact with virtual objects using eye gaze, hand controllers, and user input events ? Move around your VR scenes using locomotion and teleportation ? Implement an audio fireball game using physics and particle systems ? Implement an art gallery tour with teleportation and data info ? Design and build a VR storytelling animation with a soundtrack and timelines ? Create social VR experiences with Unity networking In Detail Unity has become the leading platform for building virtual reality games, applications, and experiences for this new generation of consumer VR devices. Unity Virtual Reality Projects walks you through a series of hands-on tutorials and in-depth discussions on using the Unity game engine. With its practical and project-based approach, this book will get you up to speed with the specifics of Virtual Reality development in Unity. You will learn how to use Unity to develop VR applications that can be experienced with devices such as Oculus, Daydream, and Vive. Among the many topics and projects, you will explore gaze-based versus hand controller input, world space UI canvases, locomotion and teleportation, software design patterns, 360-degree media, timeline animation, and multiplayer networking. You will learn the Unity 3D game engine via the interactive Unity Editor as well as C# programming. By the end of the book, you will be fully equipped to develop rich, interactive virtual reality experiences using Unity. Style and approach A practical step-by-step guide to building impressive VR experiences with Unity 2018.

Connect things to create amazing IoT applications in minutes About This Book ? Use Blynk cloud and Blynk server to connect devices ? Build IoT applications on Android and iOS platforms ? A practical guide that will show how to connect devices using Blynk and Raspberry Pi 3 Who This Book Is For This book is targeted at any stakeholder working in the IoT sector who wants to understand how Blynk works and build exciting IoT projects. Prior understanding of Raspberry Pi, C/C++, and electronics is a must. What You Will Learn ? Build devices using Raspberry Pi and various sensors and actuators ? Use Blynk cloud to connect and control devices through the Blynk app ? Connect devices to Blynk cloud and server through Ethernet and Wi-Fi ? Make applications using Blynk apps (App Builder) on Android and iOS platforms ? Run Blynk personal server on the Windows, MAC, and Raspberry Pi platforms In Detail Blynk, known as the most user-friendly IoT platform, provides a way to build mobile applications in minutes. With the Blynk drag-n-drop mobile app builder, anyone can build amazing IoT applications with minimal resources and effort, on hardware ranging from prototyping platforms such as Arduino and Raspberry Pi 3 to industrial-grade ESP8266, Intel, Sierra Wireless, Particle, Texas Instruments, and a few others. This book uses Raspberry Pi as the main hardware platform and C/C++ to write sketches to build projects. The first part of this book shows how to set up a development environment with various hardware combinations and required software. Then you will build your first IoT application with Blynk using various hardware combinations and connectivity types such as Ethernet and Wi-Fi. Then you'll use and configure various widgets (control, display, notification, interface, time input, and some advanced widgets) with Blynk App Builder to build applications. Towards the end, you will learn how to connect with and use built-in sensors on Android and iOS mobile devices. Finally you will learn how to build a robot that can be controlled with a Blynk app through the Blynk cloud and personal server. By the end of this book, you will have hands-on experience building IoT applications using Blynk. Style and approach A step-by-step guide that will help you build simple yet exciting project in no time.

A definitive guide to creating an intelligent web application with the best of machine learning and JavaScript About This Book ? Solve complex computational problems in browser with JavaScript ? Teach your browser how to learn from rules using the power of machine learning ? Understand discoveries on web interface and API in machine learning Who This Book Is For This book is for you if you are a JavaScript developer who wants to implement machine learning to make applications smarter, gain insightful information from the data, and enter the field of machine learning without switching to another language. Working knowledge of JavaScript language is expected to get the most out of the book. What You Will Learn ? Get an overview of state-of-the-art machine learning ? Understand the pre-processing of data handling, cleaning, and preparation ? Learn Mining and Pattern Extraction with JavaScript ? Build your own model for classification, clustering, and prediction ? Identify the most appropriate model for each type of problem ? Apply machine learning techniques to real-world applications ? Learn how JavaScript can be a powerful language for machine learning In Detail In over 20 years of existence, JavaScript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, JavaScript makes your browsers smarter than ever with the ability to learn patterns and reproduce them to become a part of innovative products and applications. Hands-on Machine Learning with JavaScript presents various avenues of machine learning in a practical and objective way, and helps implement them using the JavaScript language. Predicting behaviors, analyzing feelings, grouping data, and building neural models are some of the skills you will build from this book. You will learn how to train your machine learning models and work with different kinds of data. During this journey, you will come across use cases such as face detection, spam filtering, recommendation systems, character recognition, and more. Moreover, you will learn how to work with deep neural networks and guide your applications to gain insights from data. By the end of this book, you'll have gained hands-on knowledge on evaluating and implementing the right model, along with choosing from different JS libraries, such as NaturalNode, brain, harthur, classifier, and many more to design smarter applications. Style and approach This is a practical tutorial that uses hands-on examples to step through some real-world applications of machine learning. Without shying away from the technical details, you will explore machine learning with JavaScript using clear and practical examples.

Leverage the power of Python to build DIY robotic projects About This Book ? Design, build, and stimulate collaborative robots ? Build high-end robotics projects such as a customized personal Jarvis ? Leverage the power of Python and ROS for DIY robotic projects Who This Book Is For If building robots is your dream, then this book is made for you. Prior knowledge of Python would be an added advantage. What You Will Learn ? Get to know the basics of robotics and its functions ? Walk through interface components with microcontrollers ? Integrate robotics with the IoT environment ? Build projects using machine learning ? Implement path planning and vision processing ? Interface your robots with Bluetooth In Detail Robotics is a fast-growing industry. Multiple surveys state that investment in the field has increased tenfold in the last 6 years, and is set to become a $100-billion sector by 2020. Robots are prevalent throughout all industries, and they are all set to be a part of our domestic lives. This book starts with the installation and basic steps in configuring a robotic controller. You'll then move on to setting up your environment to use Python with the robotic controller. You'll dive deep into building simple robotic projects, such as a pet-feeding robot, and more complicated projects, such as machine learning enabled home automation system (Jarvis), vision processing based robots and a self-driven robotic vehicle using Python. By the end of this book, you'll know how to build smart robots using Python. Style and approach A simple step-by-step guide to help you learn the concepts of robotics using simple to advanced steps. You’ll not only learn the concepts of AI, machine learning, and Vision Processing, but also how to practically implement them in your projects.