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Hands-On IoT Solutions with Blockchain: Discover how converging IoT and blockchain can help you build effective solutions
by Enio Moura Maximiliano SantosThis book is targeted towards IoT analyst, architects and engineers, or any stakeholder who is responsible for security mechanism on an IoT infrastructure. This book is also for IT professionals who want to start developing solutions using Blockchain and Internet of Things using IBM Cloud Platform. Basic understanding of IoT can be an added advantage.
The DevOps 2.3 Toolkit: Kubernetes: Deploying and managing highly-available and fault-tolerant applications at scale
by Viktor FarcicLearn from an expert on how to use Kubernetes, the most adopted container orchestration platform. About This Book • Get a detailed, hands-on exploration of everything from the basic to the most advanced aspects of Kubernetes • Explore the tools behind not only the official project but also the third-party add-ons • Learn how to create a wide range of tools, including clusters, Role Bindings, and Ingress Resources with default backends, among many applicable, real-word creations • Discover how to deploy and manage highly available and fault-tolerant applications at scale with zero downtime Who This Book Is For This book is for professionals experienced with Docker, looking to get a detailed overview from the basics to the advanced features of Kubernetes. What You Will Learn • Let Viktor show you the wide range of features available in Kubernetes—from the basic to the most advanced features • Learn how to use the tools not only from the official project but also from the wide range of third-party add-ons • Understand how to create a pod, how to Scale Bids with Replica Sets, and how to install both Kubectl and Minikube • Explore the meaning of terms such as container scheduler and Kubernetes • Discover how to create a local Kubernetes cluster and what to do with it In Detail Building on The DevOps 2.0 Toolkit, The DevOps 2.1 Toolkit: Docker Swarm, and The DevOps 2.2 Toolkit: Self-Sufficient Docker Clusters, Viktor Farcic brings his latest exploration of the DevOps Toolkit as he takes you on a journey to explore the features of Kubernetes. The DevOps 2.3 Toolkit: Kubernetes is a book in the series that helps you build a full DevOps Toolkit. This book in the series looks at Kubernetes, the tool designed to, among other roles, make it easier in the creation and deployment of highly available and fault-tolerant applications at scale, with zero downtime. Within this book, Viktor will cover a wide range of emerging topics, including what exactly Kubernetes is, how to use both first and third-party add-ons for projects, and how to get the skills to be able to call yourself a “Kubernetes ninja.” Work with Viktor and dive into the creation and exploration of Kubernetes with a series of hands-on guides. Style and approach Readers join Viktor Farcic as he continues his exploration of DevOps and begins to explore the opportunities presented by Kubernetes.
Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects
by James LoyBuild your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in PythonKey FeaturesDiscover neural network architectures (like CNN and LSTM) that are driving recent advancements in AIBuild expert neural networks in Python using popular libraries such as KerasIncludes projects such as object detection, face identification, sentiment analysis, and moreBook DescriptionNeural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them.It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch.By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio.What you will learnLearn various neural network architectures and its advancements in AIMaster deep learning in Python by building and training neural networkMaster neural networks for regression and classificationDiscover convolutional neural networks for image recognitionLearn sentiment analysis on textual data using Long Short-Term MemoryBuild and train a highly accurate facial recognition security systemWho this book is forThis book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. Readers should already have some basic knowledge of machine learning and neural networks.
Hands-On TypeScript for C# and .NET Core Developers: Transition from C# to TypeScript 3.1 and build applications with ASP.NET Core 2
by Francesco AbbruzzeseDiscover how TypeScript allows you to build modern client-rich applications, thanks to its object-oriented capabilities and third-party tools like Angular and Web APIsKey FeaturesMake a seamless transition to using TypeScript 3.1 in your development stackWork with TypeScript 3.1 in your ASP.NET Core projects to build rich applications that are easy to maintainBuild, test, and integrate your own TypeScript library in real-world projectsBook DescriptionWriting clean, object-oriented code in JavaScript gets trickier and complex as the size of the project grows. This is where Typescript comes into the picture; it lets you write pure object-oriented code with ease, giving it the upper hand over JavaScript. This book introduces you to basic TypeScript concepts by gradually modifying standard JavaScript code, which makes learning TypeScript easy for C# ASP.NET developers.As you progress through the chapters, you'll cover object programming concepts, such as classes, interfaces, and generics, and understand how they are related to, and similar in, both ES6 and C#. You will also learn how to use bundlers like WebPack to package your code and other resources. The book explains all concepts using practical examples of ASP.NET Core projects, and reusable TypeScript libraries. Finally, you'll explore the features that TypeScript inherits from either ES6 or C#, or both of them, such as Symbols, Iterables, Promises, and Decorators.By the end of the book, you'll be able to apply all TypeScript concepts to understand the Angular framework better, and you'll have become comfortable with the way in which modules, components, and services are defined and used in Angular. You'll also have gained a good understanding of all the features included in the Angular/ASP.NET Core Visual Studio project template.What you will learnOrganize, test, and package large TypeScript code baseAdd TypeScript to projects using TypeScript declaration filesPerform DOM manipulation with TypeScriptDevelop Angular projects with the Visual Studio Angular project templateDefine and use inheritance, abstract classes, and methodsLeverage TypeScript-type compatibility rulesUse WebPack to bundle JavaScript and other resources such as CSS to improve performanceBuild custom directives and attributes, and learn about animationsWho this book is forIf you’re a C# or .NET developer looking for an easy accessible way of learning TypeScript, this book is for you.
Java: Boost your application’s performance with the new features of Java 9
by Mayur RamgirOptimize the powerful techniques of Java 9 to boost your application's performanceKey Features Tackle all kinds of performance-related issues and streamline your development Dive into the new features of Java 9 Implement highly efficient and reliable codes with the help of new APIs of Java Embedded with assessments that will help you revise the concepts you have learned in this bookBook DescriptionJava 9 which is one of the most popular application development languages. The latest released version Java 9 comes with a host of new features and new APIs with lots of ready to use components to build efficient and scalable applications. Streams, parallel and asynchronous processing, multithreading, JSON support, reactive programming, and microservices comprise the hallmark of modern programming and are now fully integrated into the JDK. This book focuses on providing quick, practical solutions to enhance your application's performance. You will explore the new features, APIs, and various tools added in Java 9 that help to speed up the development process. You will learn about jshell, Ahead-of-Time (AOT) compilation, and the basic threads related topics including sizing and synchronization. You will also explore various strategies for building microservices including container-less, self-contained, and in-container. This book is ideal for developers who would like to build reliable and high-performance applications with Java. This book is embedded with useful assessments that will help you revise the concepts you have learned in this book.What you will learn Familiarize with modular development and its impact on performance Learn various string-related performance improvements, including compact string and modify string concatenation Explore various underlying compiler improvements, such as tiered attribution and Ahead-of-Time (AOT) compilation Learn security manager improvements Understand enhancements in graphics rasterizers Use of command-line tools to speed up application development Learn how to implement multithreading and reactive programming Build microservices in Java 9 Implement APIs to improve application codeWho this book is forThis book is targeted at developers who would like to build reliable and high-performance applications with Java.
Hands-On Algorithms for Computer Vision: Learn how to use the best and most practical computer vision algorithms using OpenCV
by Amin Ahmadi TazehkandiCreate powerful, accurate, and real-time Computer Vision applications using a perfect blend of algorithms and filters. Also learn about object tracking and foreground extractions with a variety of new filters and algorithms.Key Features Filter, transform, and manipulate images using MAT class and OpenCV Framework Explore motion detection and object tracking with filters and algorithms Build object detectors using deep learning and machine learning algorithmsBook DescriptionAn arena that has been positively impacted by the advancements in processing power and performance is the field of computer vision. It's only natural that over time, more and more algorithms are introduced to perform computer vision tasks more efficiently. Hands-On Algorithms for Computer Vision is a starting point for anyone who is interested in the field of computer vision and wants to explore the most practical algorithms used by professional computer vision developers. The book starts with the basics and builds up over the course of the chapters with hands-on examples for each algorithm.Right from the start, you will learn about the required tools for computer vision development, and how to install and configure them. You'll explore the OpenCV framework and its powerful collection of libraries and functions. Starting from the most simple image modifications, filtering, and transformations, you will gradually build up your knowledge of various algorithms until you are able to perform much more sophisticated tasks, such as real-time object detection using deep learning algorithms.What you will learn Get to grips with machine learning and artificial intelligence algorithms Read, write, and process images and videos Perform mathematical, matrix, and other types of image data operations Create and use histograms from back-projection images Detect motion, extract foregrounds, and track objects Extract key points with a collection of feature detector algorithms Develop cascade classifiers and use them, and train and test classifiers Employ TensorFlow object detection to detect multiple objectsWho this book is forHands-On Algorithms for Computer Vision helps those who want to learn algorithms in Computer Vision to create and customize their applications. This book will also help existing Computer Vision developers customize their applications. A basic understanding of computer vision and programming experience is needed.
Hands-On Parallel Programming with C# 8 and .NET Core 3: Build solid enterprise software using task parallelism and multithreading
by Shakti TanwarEnhance your enterprise application development skills by mastering parallel programming techniques in .NET and C# Key Features Write efficient, fine-grained, and scalable parallel code with C# and .NET Core Experience how parallel programming works by building a powerful application Learn the fundamentals of multithreading by working with IIS and Kestrel Book Description In today's world, every CPU has a multi-core processor. However, unless your application has implemented parallel programming, it will fail to utilize the hardware's full processing capacity. This book will show you how to write modern software on the optimized and high-performing .NET Core 3 framework using C# 8. Hands-On Parallel Programming with C# 8 and .NET Core 3 covers how to build multithreaded, concurrent, and optimized applications that harness the power of multi-core processors. Once you've understood the fundamentals of threading and concurrency, you'll gain insights into the data structure in .NET Core that supports parallelism. The book will then help you perform asynchronous programming in C# and diagnose and debug parallel code effectively. You'll also get to grips with the new Kestrel server and understand the difference between the IIS and Kestrel operating models. Finally, you'll learn best practices such as test-driven development, and run unit tests on your parallel code. By the end of the book, you'll have developed a deep understanding of the core concepts of concurrency and asynchrony to create responsive applications that are not CPU-intensive. What you will learn Analyze and break down a problem statement for parallelism Explore the APM and EAP patterns and how to move legacy code to Task Apply reduction techniques to get aggregated results Create PLINQ queries and study the factors that impact their performance Solve concurrency problems caused by producer-consumer race conditions Discover the synchronization primitives available in .NET Core Understand how the threading model works with IIS and Kestrel Find out how you can make the most of server resources Who this book is for If you want to learn how task parallelism is used to build robust and scalable enterprise architecture, this book is for you. Whether you are a beginner to parallelism in C# or an experienced architect, you'll find this book useful to gain insights into the different threading models supported in .NET Standard and .NET Core. Prior knowledge of C# is required to understand the concepts covered in this book.
Learn Red – Fundamentals of Red: Get up and running with the Red language for full-stack development
by Ivo BalbaertDiscover how to use the next-generation language Red for full-stack development, from systems coding over user-interfaces to blockchain programmingKey FeaturesExplore the latest features of Red to build scalable, fast, and secure applicationsLearn graphical programming and build highly sophisticated reactive applicationsGet familiar with the specific concepts and techniques of Red development, like working with series, viewing code as data, and using dialects.Book DescriptionA 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.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 RedWho this book is forThis 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.
Recurrent Neural Networks with Python Quick Start Guide: Sequential learning and language modeling with TensorFlow
by Simeon KostadinovLearn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep learning with Python's most popular TensorFlow framework. Key FeaturesTrain and deploy Recurrent Neural Networks using the popular TensorFlow libraryApply long short-term memory unitsExpand your skills in complex neural network and deep learning topicsBook DescriptionDevelopers struggle to find an easy-to-follow learning resource for implementing Recurrent Neural Network (RNN) models. RNNs are the state-of-the-art model in deep learning for dealing with sequential data. From language translation to generating captions for an image, RNNs are used to continuously improve results. This book will teach you the fundamentals of RNNs, with example applications in Python and the TensorFlow library. The examples are accompanied by the right combination of theoretical knowledge and real-world implementations of concepts to build a solid foundation of neural network modeling.Your journey starts with the simplest RNN model, where you can grasp the fundamentals. The book then builds on this by proposing more advanced and complex algorithms. We use them to explain how a typical state-of-the-art RNN model works. From generating text to building a language translator, we show how some of today's most powerful AI applications work under the hood.After reading the book, you will be confident with the fundamentals of RNNs, and be ready to pursue further study, along with developing skills in this exciting field.What you will learnUse TensorFlow to build RNN modelsUse the correct RNN architecture for a particular machine learning taskCollect and clear the training data for your modelsUse the correct Python libraries for any task during the building phase of your modelOptimize your model for higher accuracyIdentify the differences between multiple models and how you can substitute themLearn the core deep learning fundamentals applicable to any machine learning modelWho this book is forThis book is for Machine Learning engineers and data scientists who want to learn about Recurrent Neural Network models with practical use-cases. Exposure to Python programming is required. Previous experience with TensorFlow will be helpful, but not mandatory.
Learn Apache Mesos: A beginner’s guide to scalable cluster management and deployment
by Manuj AggarwalScale applications with high availability and optimized resource management across data centersKey FeaturesCreate clusters and perform scheduling, logging, and resource administration with MesosExplore practical examples of managing complex clusters at scale with real-world dataWrite native Mesos frameworks with PythonBook DescriptionApache Mesos is an open source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. This book will help you build a strong foundation of Mesos' capabilities along with practical examples to support the concepts explained throughout the book.Learn Apache Mesos dives straight into how Mesos works. You will be introduced to the distributed system and its challenges and then learn how you can use Mesos and its framework to solve data problems. You will also gain a full understanding of Mesos' internal mechanisms and get equipped to use Mesos and develop applications. Furthermore, this book lets you explore all the steps required to create highly available clusters and build your own Mesos frameworks. You will also cover application deployment and monitoring.By the end of this book, you will have learned how to use Mesos to make full use of machines and how to simplify data center maintenance.What you will learnDeploy and monitor a Mesos clusterSet up servers on AWS to deploy Mesos componentsExplore Mesos resource scheduling and the allocation moduleDeploy Docker-based services and applications using Mesos MarathonConfigure and use SSL to protect crucial endpoints of your Mesos clusterDebug and troubleshoot services and workloads on a Mesos clusterWho this book is forThis book is for DevOps and data engineers and administrators who work with large data clusters. You’ll also find this book useful if you have experience working with virtualization, databases, and platforms such as Hadoop and Spark. Some experience in database administration and design will help you get the most out of this book.
Hands-On Serverless Applications with Go: Build real-world, production-ready applications with AWS Lambda
by Mohamed LabouardyLearn to build, secure, deploy, and manage your serverless application in Golang with AWS Lambda Key FeaturesImplement AWS lambda to build scalable and cost-efficient applications in GoDesign and set the data flow between cloud services and custom business logicLearn to design Lambda functions using real-world examples and implementation scenariosBook DescriptionServerless architecture is popular in the tech community due to AWS Lambda. Go is simple to learn, straightforward to work with, and easy to read for other developers; and now it's been heralded as a supported language for AWS Lambda. This book is your optimal guide to designing a Go serverless application and deploying it to Lambda.This book starts with a quick introduction to the world of serverless architecture and its benefits, and then delves into AWS Lambda using practical examples. You'll then learn how to design and build a production-ready application in Go using AWS serverless services with zero upfront infrastructure investment. The book will help you learn how to scale up serverless applications and handle distributed serverless systems in production. You will also learn how to log and test your application.Along the way, you'll also discover how to set up a CI/CD pipeline to automate the deployment process of your Lambda functions. Moreover, you'll learn how to troubleshoot and monitor your apps in near real-time with services such as AWS CloudWatch and X-ray. This book will also teach you how to secure the access with AWS Cognito.By the end of this book, you will have mastered designing, building, and deploying a Go serverless application.What you will learnUnderstand how AWS Lambda works and use it to create an applicationUnderstand how to scaleup serverless applicationsDesign a cost-effective serverless application in AWSBuild a highly scalable and fault-tolerant CI/CD pipelineUnderstand how to troubleshoot and monitor serverless apps in AWSDiscover the working of APIs and single page applicationsBuild a production-ready serverless application in GoWho this book is forThis book is for Go developers who would like to learn about serverless architecture. Go programming knowledge is assumed. DevOps and Solution Architects who are interested in building serverless applications in Go can also choose this book.
Unreal Engine 4 Virtual Reality Projects: Build immersive, real-world VR applications using UE4, C++, and Unreal Blueprints
by Kevin Mack Robert RuudLearn to design and build Virtual Reality experiences, applications, and games in Unreal Engine 4 through a series of practical, hands-on projects that teach you to create controllable avatars, user interfaces, and more.Key FeaturesDeploy your virtual reality applications on the latest Oculus Go and Samsung GearBuild real-world applications such as 3D UIs, mini games, and 360° media player applications using Unreal Engine 4Master multiplayer networking and build rich multi-user VR experiencesBook DescriptionUnreal Engine 4 (UE4) is a powerful tool for developing VR games and applications. With its visual scripting language, Blueprint, and built-in support for all major VR headsets, it's a perfect tool for designers, artists, and engineers to realize their visions in VR. This book will guide you step-by-step through a series of projects that teach essential concepts and techniques for VR development in UE4. You will begin by learning how to think about (and design for) VR and then proceed to set up a development environment. A series of practical projects follows, taking you through essential VR concepts. Through these exercises, you'll learn how to set up UE4 projects that run effectively in VR, how to build player locomotion schemes, and how to use hand controllers to interact with the world. You'll then move on to create user interfaces in 3D space, use the editor's VR mode to build environments directly in VR, and profile/optimize worlds you've built. Finally, you'll explore more advanced topics, such as displaying stereo media in VR, networking in Unreal, and using plugins to extend the engine. Throughout, this book focuses on creating a deeper understanding of why the relevant tools and techniques work as they do, so you can use the techniques and concepts learned here as a springboard for further learning and exploration in VR.What you will learnUnderstand design principles and concepts for building VR applicationsSet up your development environment with Unreal Blueprints and C++Create a player character with several locomotion schemesEvaluate and solve performance problems in VR to maintain high frame ratesDisplay mono and stereo videos in VRExtend Unreal Engine's capabilities using various pluginsWho this book is forThis book is for anyone interested in learning to develop Virtual Reality games and applications using UE4. Developers new to UE4 will benefit from hands-on projects that guide readers through clearly-explained steps, while both new and experienced developers will learn crucial principles and techniques for VR development in UE4.
Kali Linux Web Penetration Testing Cookbook: Identify, exploit, and prevent web application vulnerabilities with Kali Linux 2018.x, 2nd Edition
by Gilberto Najera-GutierrezDiscover the most common web vulnerabilities and prevent them from becoming a threat to your site's securityKey FeaturesFamiliarize yourself with the most common web vulnerabilitiesConduct a preliminary assessment of attack surfaces and run exploits in your labExplore new tools in the Kali Linux ecosystem for web penetration testingBook DescriptionWeb applications are a huge point of attack for malicious hackers and a critical area for security professionals and penetration testers to lock down and secure. Kali Linux is a Linux-based penetration testing platform that provides a broad array of testing tools, many of which can be used to execute web penetration testing. Kali Linux Web Penetration Testing Cookbook gives you the skills you need to cover every stage of a penetration test – from gathering information about the system and application, to identifying vulnerabilities through manual testing. You will also cover the use of vulnerability scanners and look at basic and advanced exploitation techniques that may lead to a full system compromise. You will start by setting up a testing laboratory, exploring the latest features of tools included in Kali Linux and performing a wide range of tasks with OWASP ZAP, Burp Suite and other web proxies and security testing tools. As you make your way through the book, you will learn how to use automated scanners to find security flaws in web applications and understand how to bypass basic security controls. In the concluding chapters, you will look at what you have learned in the context of the Open Web Application Security Project (OWASP) and the top 10 web application vulnerabilities you are most likely to encounter, equipping you with the ability to combat them effectively. By the end of this book, you will have acquired the skills you need to identify, exploit, and prevent web application vulnerabilities.What you will learnSet up a secure penetration testing laboratoryUse proxies, crawlers, and spiders to investigate an entire websiteIdentify cross-site scripting and client-side vulnerabilitiesExploit vulnerabilities that allow the insertion of code into web applicationsExploit vulnerabilities that require complex setupsImprove testing efficiency using automated vulnerability scannersLearn how to circumvent security controls put in place to prevent attacksWho this book is forKali Linux Web Penetration Testing Cookbook is for IT professionals, web developers, security enthusiasts, and security professionals who want an accessible reference on how to find, exploit, and prevent security vulnerabilities in web applications. The basics of operating a Linux environment and prior exposure to security technologies and tools are necessary.
Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras
by Kailash AhirwarThis book is intended for data scientists, machine learning developers, deep learning practitioners and AI enthusiasts who want a project guide to test their knowledge and expertise in building real-world GANs models. These full-fledged projects will help you master machine learning, and neural network principles. Basic understanding of machine learning and deep learning concepts will be handy. Hands-on experience in Tensorflow or Keras will be a plus point
Spring Boot 2.0 Projects: Build production-grade reactive applications and microservices with Spring Boot
by Mohamed Shazin SadakathDevelop diverse real-life projects including most aspects of Spring BootKey FeaturesRun production-grade based applications using the Spring WebFlux frameworkLearn to develop high performance, asynchronous applications with Spring BootCreate robust microservice-based applications with Kotlin using Spring BootBook DescriptionSpring is one of the best tools available on the market for developing web, enterprise, and cloud-ready software. The goal of Spring Boot is to provide a set of tools for quickly building Spring applications that are easy to configure, and that make it easy to create and run production-grade Spring-based applications. Spring Boot 2.0 Projects will get you acquainted with important features of the latest version of this application-building tool and will cover basic, as well as advanced topics.The book starts off by teaching you how to create a web application using Spring Boot, followed by creating a Spring Boot-based simple blog management system that uses Elasticsearch as the data store. As you make your way through the chapters, you’ll build a RESTful web services application using Kotlin and the Spring WebFlux framework. Spring WebFlux is a new framework that helps in creating a reactive application in a functional way. Toward the end of the book, you will build a taxi-hailing API with reactive microservices using Spring Boot and a Twitter clone with a Spring Boot backend. Finally, you’ll learn how to build an asynchronous email formatter.What you will learnLearn the fundamental features of Spring Boot 2.0Customize Spring Boot 2.0 applicationsBuild a basic web applicationUse Redis to build a taxi-hailing APICreate a simple blog management system and a Twitter cloneDevelop a reactive RESTful web service with Kotlin using Spring BootWho this book is forThis book is for competent Spring developers who wish to understand how to develop complex yet scalable applications with Spring Boot. You must have a good knowledge of Java programming and be familiar with the basics of Spring.
Mastering Python Scripting for System Administrators: Write scripts and automate them for real-world administration tasks using Python
by Ganesh NaikThis book would be ideal for users with some basic understanding of Python programming and who are interested in scaling their programming skills to command line scripting and system administration. Prior knowledge of Python would be necessary.
Hands-On Predictive Analytics with Python: Master the complete predictive analytics process, from problem definition to model deployment
by Alvaro FuentesThis book is for Python programmers who wants to learn predictive modeling and aspire to enter data science and machine learning areas. All you need is basic familiarity with linear algebra and statistical knowledge.
Machine Learning for Finance: The practical guide to using data-driven algorithms in banking, insurance, and investments
by Jannes KlaasPlan and build useful machine learning systems for financial services, with full working Python codeKey FeaturesBuild machine learning systems that will be useful across the financial services industryDiscover how machine learning can solve finance industry challengesGain the machine learning insights and skills fintech companies value mostBook DescriptionMachine learning skills are essential for anybody working in financial data analysis. Machine Learning for Finance shows you how to build machine learning models for use in financial services organizations. It shows you how to work with all the key machine learning models, from simple regression to advanced neural networks.You will see how to use machine learning to automate manual tasks, identify and address systemic bias, and find new insights and patterns hidden in available data. Machine Learning for Finance encourages and equips you to find new ways to use data to serve an organization’s business goals.Broad in scope yet deeply practical in approach, Machine Learning for Finance will help you to apply machine learning in all parts of a financial organization’s infrastructure. If you work or plan to work in fintech, and want to gain one of the most valuable skills in the sector today, this book is for you.What you will learnPractical machine learning for the finance sectorBuild machine learning systems that support the goals of financial organizationsThink creatively about problems and how machine learning can solve themIdentify and reduce sources of bias from machine learning modelsApply machine learning to structured data, natural language, photographs, and written text related to financeUse machine learning to detect fraud, forecast financial trends, analyze customer sentiments, and moreImplement heuristic baselines, time series, generative models, and reinforcement learning in Python, scikit-learn, Keras, and TensorFlowWho this book is forMachine Learning for Finance is for financial professionals who want to develop and apply machine learning skills, and for students entering the field. You should be comfortable with Python and the basic data science stack, such as NumPy, pandas, and Matplotlib, to get the most out of this book.
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
by Matthew Lamons Rahul Kumar Abhishek NagarajaInsightful projects to master deep learning and neural network architectures using Python and KerasKey FeaturesExplore deep learning across computer vision, natural language processing (NLP), and image processingDiscover best practices for the training of deep neural networks and their deploymentAccess popular deep learning models as well as widely used neural network architecturesBook DescriptionDeep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You’ll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system.Similarly, you’ll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you’ll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects.By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient wayWhat you will learnSet up a deep learning development environment on Amazon Web Services (AWS)Apply GPU-powered instances as well as the deep learning AMIImplement seq-to-seq networks for modeling natural language processing (NLP)Develop an end-to-end speech recognition systemBuild a system for pixel-wise semantic labeling of an imageCreate a system that generates images and their regionsWho this book is forPython Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects.It is assumed that you have sound knowledge of Python programming
Implementing Microsoft Dynamics NAV and Business Central - Fourth Edition
by Roberto Stefanetti Alex ChowThis book is for Dynamics NAV partners and end users who want to know everything about Dynamics NAV implementations. It is aimed at those who want to be project managers or get involved with Dynamics NAV, but do not have the expertise to write code themselves. This book can be useful to understand the need to move to Business Central.
Hands-On Linux Administration on Azure: Explore the essential Linux administration skills you need to deploy and manage Azure-based workloads
by Frederik VosLearn to efficiently run Linux-based workloads in AzureKey FeaturesManage and deploy virtual machines in your Azure environmentExplore various open source tools to integrate automation and orchestrationLeverage Linux features to create, run, and manage containersBook DescriptionAzure’s market share has increased massively and enterprises are adopting it rapidly. Linux is a widely-used operating system and has proven to be one of the most popular workloads on Azure. It has become crucial for Linux administrators and Microsoft professionals to be well versed with the concepts of managing Linux workloads in an Azure environment.Hands-On Linux Administration on Azure starts by introducing you to the fundamentals of Linux and Azure, after which you will explore advanced Linux features and see how they are managed in an Azure environment. Next, with the help of real-world scenarios, you will learn how to deploy virtual machines(VMs) in Azure, along with extending Azure VMs capabilities and managing them efficiently. You will then understand continuous configuration automation and use Ansible, SaltStack and Powershell DSC for orchestration. As you make your way through the chapters, you will understand containers and how they work, along with managing containers and the various tasks you can perform with them. In the concluding chapters, you will cover some Linux troubleshooting techniques on Azure, and you will also be able to monitor Linux in Azure using different open source tools.By the end of this book, you will be able to administer Linux on Azure and make the most of the important tools required for deployment.What you will learnUnderstand why Azure is the ideal solution for your open source workloadsMaster essential Linux skills and learn to find your way around the Linux environmentDeploy Linux in an Azure environmentUse configuration management to manage Linux in AzureManage containers in an Azure environmentEnhance Linux security and use Azure’s identity management systemsAutomate deployment with Azure Resource Manager (ARM) and PowershellEmploy Ansible to manage Linux instances in an Azure cloud environmentWho this book is forHands-On Linux Administration on Azure is for Linux administrators and Microsoft professionals that need to deploy and manage their workloads in Azure. Prior knowledge of Linux and Azure isn't necessary.
Windows Server 2016 Security, Certificates, and Remote Access Cookbook: Recipe-based guide for security, networking and PKI in Windows Server 2016
by Jordan Krause<P>Windows Server 2016 is an operating system designed to run on today’s highly performant servers, both on-premise and in the cloud. It supports enterprise-level data storage, communications, management, and applications. This book builds off a basic knowledge of the Windows Server operating system, and assists administrators with taking the security of their systems one step further. You will learn tips for configuring proper networking, especially on multi-homed systems, and tricks for locking down access to your servers. <P>Then you will move onto one of the hottest security topics of the year – certificates. You will learn how to build your own PKI, or how to better administer one that you already have. You will publish templates, issue certificates, and even configure autoenrollment in your network.When we say “networking” we don’t only mean inside the LAN. To deal safely with mobile devices, you will learn about the capabilities of Windows Server 2016 for connecting these assets securely back into the corporate network, with information about DirectAccess and VPN. The material in the book has been selected from the content of Packt's Windows Server 2016 Cookbook by Jordan Krause to provide a specific focus on these key Windows Server tasks. <P>What you will learn Implement solid networking and security practices into your Windows Server environment Design your own PKI and start issuing certificates today Connect your remote laptops back to the corporate network using Microsoft's own remote access technologies, including DirectAccess Learn to use commands that will help you with monitoring network traffic. Build and explore your first Server Core instance today!Who this book is forIf you are a Windows Server administrator interested in learning the key security and networking functions available in Windows Server 2016, keep this book close at hand. If you are a server administrator setting up certificate services for the first time you will also benefit from the step-by-step instructions on implementation of a PKI.
Delphi Programming Projects: Build a range of exciting projects by exploring cross-platform development and microservices
by William DuarteImprove your Delphi programming skills by building robust applications for Android, iOS, and Windows platformKey FeaturesBuild responsive user interfaces (UIs) for desktop and mobile with FireMonkeyImplement a microservices architecture using the Rapid Application Development(RAD) serverCreate clones of popular applications like Instagram and Facebook using Delphi 10.3Book DescriptionDelphi is a cross-platform programming language and software development kit that supports rapid application development for Microsoft Windows, Apple Mac OS X, Android, and iOS.With the help of seven practical projects, this book will guide you through the best practices, Delphi Run-Time Library (RTL) resources, and design patterns. Whether you use the Visual Component Library (VCL) or FireMonkey (FMX) framework, these design patterns will be implemented in the same way in Delphi, using Object Pascal. In the first few chapters, you will explore advanced features that will help you build rich applications using the same code base for both mobile and desktop projects. In addition to this, you’ll learn how to implement microservice architecture in Delphi. As you get familiar with the various aspects of Delphi, you will no longer need to maintain source code for similar projects, program business rules on screens, or fill your forms with data access components.By the end of this book, you will have gained an understanding of the principles of clean code and become proficient in building robust and scalable applications in Delphi.What you will learnGet to grips with the advanced features of RTLUnderstand how to deal with the paradigm change between multiplatform projectsBuild rich interfaces with Google's Material Design featuresUnderstand how to implement design patterns in DelphiTurn a mobile device into a remote controller with app tethering technologyBuild a multi-database system using VCLWho this book is forThis book is for developers, programmers, and IT professionals who want to learn the best market practices by implementing practical projects. Prior knowledge of the Delphi language is a must.
Java 11 Cookbook: A definitive guide to learning the key concepts of modern application development, 2nd Edition
by Mohamed Sanaulla Nick SamoylovSolutions for modular, functional, reactive, GUI, network, and multithreaded programmingKey FeaturesExplore the latest features of Java 11 to implement efficient and reliable codeDevelop memory-efficient applications, understanding new garbage collection in Java 11Create restful webservices and microservices with Spring boot 2 and DockerBook DescriptionFor more than three decades, Java has been on the forefront of developing robust software that has helped versatile businesses meet their requirements. Being one of the most widely used programming languages in history, it’s imperative for Java developers to discover effective ways of using it in order to take full advantage of the power of the latest Java features. Java 11 Cookbook offers a range of software development solutions with simple and straightforward Java 11 code examples to help you build a modern software system.Starting with the installation of Java, each recipe addresses various problem by explaining the solution and offering insights into how it works. You’ll explore the new features added to Java 11 that will make your application modular, secure, and fast. The book contains recipes on functional programming, GUI programming, concurrent programming, and database programming in Java. You’ll also be taken through the new features introduced in JDK 18.3 and 18.9.By the end of this book, you’ll be equipped with the skills required to write robust, scalable, and optimal Java code effectively.What you will learnSet up JDK and understand what's new in the JDK 11 installationImplement object-oriented designs using classes and interfacesManage operating system processesCreate a modular application with clear dependenciesBuild graphical user interfaces using JavaFXUse the new HTTP Client APIExplore the new diagnostic features in Java 11Discover how to use the new JShell REPL toolWho this book is forThe book is for intermediate-to-advanced Java programmers who want to make their applications fast, secure, and scalable.
Mastering AWS CloudFormation: Plan, develop, and deploy your cloud infrastructure effectively using AWS CloudFormation
by Karen TovmasyanBuild scalable and production-ready infrastructure in Amazon Web Services with CloudFormation Key Features Leverage AWS CloudFormation templates to manage your entire infrastructure Get up and running with writing your infrastructure as code and automating your environment Simplify infrastructure management and increase productivity with AWS CloudFormation Book Description DevOps and the cloud revolution have forced software engineers and operations teams to rethink how to manage infrastructures. With this AWS book, you'll understand how you can use Infrastructure as Code (IaC) to simplify IT operations and manage the modern cloud infrastructure effectively with AWS CloudFormation. This comprehensive guide will help you explore AWS CloudFormation from template structures through to developing complex and reusable infrastructure stacks. You'll then delve into validating templates, deploying stacks, and handling deployment failures. The book will also show you how to leverage AWS CodeBuild and CodePipeline to automate resource delivery and apply continuous integration and continuous delivery (CI/CD) practices to the stack. As you advance, you'll learn how to generate templates on the fly using macros and create resources outside AWS with custom resources. Finally, you'll improve the way you manage the modern cloud in AWS by extending CloudFormation using AWS serverless application model (SAM) and AWS cloud development kit (CDK). By the end of this book, you'll have mastered all the major AWS CloudFormation concepts and be able to simplify infrastructure management. What you will learn Understand modern approaches to IaC Develop universal and reusable CloudFormation templates Discover ways to apply continuous delivery with CloudFormation Implement IaC best practices for the AWS Cloud Provision massive applications across multiple regions and accounts Automate template generation and software provisioning for AWS Extend CloudFormation with custom resources and template macros Who this book is for If you are a developer who wants to learn how to write templates, a DevOps engineer interested in deployment and orchestration, or a solutions architect looking to understand the benefits of managing infrastructure with ease, this book is for you. Prior understanding of the AWS Cloud is necessary.