A guide to product management exploring the best practices: identifying the impact-driven product, planning for success, setting up and measuring time-bound metrics, and developing a lean product roadmap. About This Book ? Identifying Impact-Driven Products ? Investing in Key Business Outcomes ? Value mapping to maintain a lean product backlog ? Utilizing time-bound product metrics ? Eliminating process waste Who This Book Is For If you are leading a team that is building a new product, then this book is for you. The book is targeted at product managers, functional leads in enterprises, business sponsors venturing into new product offerings, product development teams, and start-up founders. What You Will Learn ? How do you execute ideas that matter? ? How can you define the right success metrics? ? How can you plan for product success? ? How do you capture qualitative and quantitative insights about the product? ? How do you know whether your product aligns to desired business goals? ? What processes are slowing you down? In Detail Lean Product Management is about finding the smartest way to build an Impact Driven Product that can deliver value to customers and meet business outcomes when operating under internal and external constraints. Author, Mangalam Nandakumar, is a product management expert, with over 17 years of experience in the field. Businesses today are competing to innovate. Cost is no longer the constraint, execution is. It is essential for any business to harness whatever competitive advantage they can, and it is absolutely vital to deliver the best customer experience possible. The opportunities for creating impact are there, but product managers have to improvise on their strategy every day in order to capitalize on them. This is the Agile battleground, where you need to stay Lean and be able to respond to abstract feedback from an ever shifting market. This is where Lean Product Management will help you thrive. Lean Product Management is an essential guide for product managers, and to anyone embarking on a new product development. Mangalam Nandakumar will help you to align your product strategy with business outcomes and customer impact. She introduces the concept of investing in Key Business Outcomes as part of the product strategy in order to provide an objective metric about which product idea and strategy to pursue. You will learn how to create impactful end-to-end product experiences by engaging stakeholders and reacting to external feedback. Style and approach The first few chapters of Lean Product Management address how to arrive at a product road map. It guides you through the process of getting stakeholder buy-in, prioritizing Key Business Outcomes and identifying the Impact-Driven Product, and arriving at a Cost-Impact matrix through value mapping. The next few chapters address how to define time-bound success metrics. It guides you through the process of creating an end-to-end product experience, capturing qualitative and quantitative insights to track product performance and alignment to short and long term product strategy. The last set of chapters of the book address process bottlenecks that hold teams back from building products right and how to eliminate process waste.

Build web applications with MongoDB, ExpressJS, React, and Node About This Book ? Build applications with the MERN stack ? Work with each component of the MERN stack ? Become confident with MERN and ready for more! Who This Book Is For The book is for JavaScript developers who want to get stated with the MERN Stack. What You Will Learn ? Get started with the MERN stack ? Install Node.js and configure MongoDB ? Build RESTful APIs with Express.js and Mongoose ? Build real-time applications with Socket.IO ? Manage synchronous and asynchronous data flows with Redux ? Build web applications with React In Detail The MERN stack is a collection of great tools—MongoDB, Express.js, React, and Node—that provide a strong base for a developer to build easily maintainable web applications. With each of them a JavaScript or JavaScript-based technology, having a shared programming language means it takes less time to develop web applications. This book focuses on providing key tasks that can help you get started, learn, understand, and build full-stack web applications. It walks you through the process of installing all the requirements and project setup to build client-side React web applications, managing synchronous and asynchronous data flows with Redux, and building real-time web applications with Socket.IO, RESTful APIs, and other concepts. This book gives you practical and clear hands-on experience so you can begin building a full-stack MERN web application. Quick Start Guides are focused, shorter titles that provide a faster paced introduction to a technology. They are for people who don't need all the detail at this point in their learning curve. The presentation has been streamlined to concentrate on the things you really need to know. Style and approach This guide shows you how to use your JavaScript knowledge to build web applications that use the MERN stack in both client-side and in server-side environments.

Implement successful private clouds with OpenStack About This Book ? Gain hands-on experience in designing a private cloud for all infrastructures ? Create a robust virtual environment for your organization ? Design, implement and deploy an OpenStack-based cloud based on the Queens release Who This Book Is For OpenStack for Architects is for Cloud architects who are responsible to design and implement a private cloud with OpenStack. System engineers and enterprise architects will also find this book useful. Basic understanding of core OpenStack services, as well as some working experience of concepts, is recommended. What You Will Learn ? Learn the overall structure of an OpenStack deployment ? Craft an OpenStack deployment process which fits within your organization ? Apply Agile Development methodologies to engineer and operate OpenStack clouds ? Build a product roadmap for Infrastructure as a Service based on OpenStack ? Make use of containers to increase the manageability and resiliency of applications running in and on OpenStack. ? Use enterprise security guidelines for your OpenStack deployment In Detail Over the past six years, hundreds of organizations have successfully implemented Infrastructure as a Service (IaaS) platforms based on OpenStack. The huge amount of investment from these organizations, including industry giants such as IBM and HP, as well as open source leaders, such as Red Hat, Canonical, and SUSE, has led analysts to label OpenStack as the most important open source technology since the Linux operating system. Due to its ambitious scope, OpenStack is a complex and fast-evolving open source project that requires a diverse skill set to design and implement it. OpenStack for Architects leads you through the major decision points that you'll face while architecting an OpenStack private cloud for your organization. This book will address the recent changes made in the latest OpenStack release i.e Queens, and will also deal with advanced concepts such as containerization, NVF, and security. At each point, the authors offer you advice based on the experience they've gained from designing and leading successful OpenStack projects in a wide range of industries. Each chapter also includes lab material that gives you a chance to install and configure the technologies used to build production-quality OpenStack clouds. Most importantly, the book focuses on ensuring that your OpenStack project meets the needs of your organization, which will guarantee a successful rollout. Style and approach This is practical, hands-on guide to implementing OpenStack clouds, where each topic is illustrated with real-world examples and then the technical points are proven in the lab. Conceptual chapters are written in discussion style to convey important concepts quickly and present decision points for choosing options.

A step-by-step guide to get you up and running with Azure Networking Services and help you build solutions that leverage effective design patterns About This Book ? Learn best practices for designing and implementing Azure Networking for Azure VMs ? Figure out the hidden secrets to designing a cost-effective environment ? Plan, design, and implement various connectivity scenarios in Azure Who This Book Is For This book is for developers, IT professionals, and database admins who have prior experience of working on Microsoft Azure and want to make the most out of Azure Networking Services. What You Will Learn ? Understand Azure networking and use the right networking service to fulfill your needs ? Design Azure Networks for Azure VMs according to best practices ? Span your environment with Azure networking solutions ? Learn to use Azure DNS ? Implement Azure Load Balancer for highly available environments ? Distribute user traffic across the world via the Azure Traffic Manager ? Control your application delivery with Azure Application Gateway In Detail Microsoft Azure networking is one of the most valuable and important offerings in Azure. No matter what solution you are building for the cloud, you'll find a compelling use for it. This book will get you up to speed quickly on Microsoft Azure Networking by teaching you how to use different networking services. By reading this book, you will develop a strong networking foundation for Azure virtual machines and for expanding your on-premise environment to Azure. Hands-On Networking with Azure starts with an introduction to Microsoft Azure networking and creating Azure Virtual Networks with subnets of different types within them. The book helps you understand the architecture of Azure networks. You will then learn the best practices for designing both Windows- and Linux-based Azure VM networks. You will also learn to expand your networks into Azure and how to use Azure DNS. Moreover, you will master best practices for dealing with Azure Load Balancer and the solutions they offer in different scenarios. Finally, we will demonstrate how the Azure Application Gateway works, offering various layer-7 load balancing capabilities for applications. By the end of this book, you will be able to architect your networking solutions for Azure. Style and approach This book provides in-depth insights into properly designing your environment and saving money on your running Azure Services. Using cutting-edge examples, you will learn to efficiently monitor, diagnose, and troubleshoot Azure Networking

Implementing the ArcGIS Pro technique to design accurate, user friendly maps and making appropriate cartographic decisions About This Book ? Build visually stunning and useful maps; ? Understand the cartographic workflows and the decisions you must take before creating the map; ? Learn to create appropriate map elements and layout designs ? Use the ArcGIS Online's Smart Mapping technique to create clear webmaps Who This Book Is For If you are a GIS analyst or a Map designer who would like to create and design a map with ArcGIS Pro then this book is for you. A basic GIS knowledge is assumed. What You Will Learn ? Using ArcGIS Pro to create visually stunning maps and make confident cartographic decisions ? Leverage precise layout grids that will organize and guide the placement of map elements ? Make appropriate decisions about color and symbols ? Critically evaluate and choose the perfect projection for your data ? Create clear webmaps that focus the reader’s attention using ArcGIS Online’s Smart Mapping capabilities In Detail ArcGIS Pro is a geographic information system for working with maps and geographic information. This book will help you create visually stunning maps that increase the legibility of the stories being mapped and introduce visual and design concepts into a traditionally scientific, data-driven process. The book begins by outlining the steps of gathering data from authoritative sources and lays out the workflow of creating a great map. Once the plan is in place you will learn how to organize the Contents Pane in ArcGIS Pro and identify the steps involved in streamlining the production process. Then you will learn Cartographic Design techniques using ArcGIS Pro's feature set to organize the page structure and create a custom set of color swatches. You will be then exposed to the techniques required to ensure your data is clear and legible no matter the size or scale of your map. The later chapters will help you understand the various projection systems, trade-offs between them, and the proper applications of them to make sure your maps are accurate and visually appealing. Finally, you will be introduced to the ArcGIS Online ecosystem and how ArcGIS Pro can utilize it within the application. You will learn Smart Mapping, a new feature of ArcGIS Online that will help you to make maps that are visually stunning and useful. By the end of this book, you will feel more confident in making appropriate cartographic decisions. Style and approach The book takes a pragmatic approach, showing various methods to create visually stunning maps.

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide About This Book ? A quick reference to all important deep learning concepts and their implementations ? Essential tips, tricks, and hacks to train a variety of deep learning models such as CNNs, RNNs, LSTMs, and more ? Supplemented with essential mathematics and theory, every chapter provides best practices and safe choices for training and fine-tuning your models in Keras and Tensorflow. Who This Book Is For If you are a Data Scientist or a Machine Learning expert, then this book is a very useful read in training your advanced machine learning and deep learning models. You can also refer this book if you are stuck in-between the neural network modeling and need immediate assistance in getting accomplishing the task smoothly. Some prior knowledge of Python and tight hold on the basics of machine learning is required. What You Will Learn ? Solve regression and classification challenges with TensorFlow and Keras ? Learn to use Tensor Board for monitoring neural networks and its training ? Optimize hyperparameters and safe choices/best practices ? Build CNN's, RNN's, and LSTM's and using word embedding from scratch ? Build and train seq2seq models for machine translation and chat applications. ? Understanding Deep Q networks and how to use one to solve an autonomous agent problem. ? Explore Deep Q Network and address autonomous agent challenges. In Detail Deep learning has become an essential necessity to enter the world of artificial intelligence. With this book deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It moves deep learning from academia to the real world through practical examples. You will learn how Tensor Board is used to monitor the training of deep neural networks and solve binary classification problems using deep learning. Readers will then learn to optimize hyperparameters in their deep learning models. The book then takes the readers through the practical implementation of training CNN's, RNN's, and LSTM's with word embeddings and seq2seq models from scratch. Later the book explores advanced topics such as Deep Q Network to solve an autonomous agent problem and how to use two adversarial networks to generate artificial images that appear real. For implementation purposes, we look at popular Python-based deep learning frameworks such as Keras and Tensorflow, Each chapter provides best practices and safe choices to help readers make the right decision while training deep neural networks. By the end of this book, you will be able to solve real-world problems quickly with deep neural networks. Style and approach An easy-to-follow, step-by-step guide to help you get to grips with real-world applications of training deep neural networks.

Become an expert Vue developer by understanding the design patterns and component architecture of Vue.js to write clean and maintainable code. About This Book ? Craft highly modular applications by exploring the design patterns and component architecture of Vue.js ? Enforce a Flux-like application architecture in your Vue.js applications with Vuex ? Easy-to-follow examples that can be used to create reusable code and extensible designs Who This Book Is For This book targets Vue Developers who care about framework design principles and utilize commonly found design patterns in developing web applications. What You Will Learn ? Understand the theory and patterns of Vue.js ? Build scalable and modular Vue.js applications ? Take advantage of Vuex for reactive state management. ? Create Single Page Applications with vue-router. ? Use Nuxt for FAST server side rendered Vue applications. ? Convert your application to a Progressive Web App (PWA) and add ServiceWorkers, offline support, and more ? Build your app with Vue.js by following up with best practices and explore the common anti-patterns to avoid In Detail The book starts by comparing Vue.js with other frameworks and setting up the development environment for your application, and gradually move on to writing and styling clean, maintainable, and reusable components that can be used across your application. Further on, you'll look at common UI patterns, Vue form submission, and various modifiers such as lazy binding, number typecasting, and string trimming to create better UIs. You will also explore best practices for integrating HTTP into Vue.js applications to create an application with dynamic data. Routing is a vitally important part of any SPA, so you will focus on the Vue router and explore routing a user between multiple pages. Next, you'll also explore state management with Vuex, write testable code for your application, and create performant, server-side rendered applications with Nuxt. Towards the end, we'll look at common antipatterns to avoid, to save you from a lot of trial and error and development headaches. By the end of this book, you'll be well on your way to becoming an expert Vue developer who can leverage design patterns to efficiently architect the design of your application and write clean and maintainable code. Style and approach This easy-to-follow practical guide will help you develop efficient Vue.js apps by following best practices and using common design patterns.

Learn how to solve real life problems using different methods like logic regression, random forests and SVM’s with TensorFlow. About This Book ? Understand predictive analytics along with its challenges and best practices ? Embedded with assessments that will help you revise the concepts you have learned in this book Who This Book Is For This book is aimed at developers, data analysts, machine learning practitioners, and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow. What You Will Learn ? Learn TensorFlow features in a real-life problem, followed by detailed TensorFlow installation and configuration ? Explore computation graphs, data, and programming models also get an insight into an example of implementing linear regression model for predictive analytics ? Solve the Titanic survival problem using logistic regression, random forests, and SVMs for predictive analytics ? Dig deeper into predictive analytics and find out how to take advantage of it to cluster records belonging to the certain group or class for a dataset of unsupervised observations ? Learn several examples of how to apply reinforcement learning algorithms for developing predictive models on real-life datasets In Detail Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. TensorFlow, Google’s brainchild, is immensely popular and extensively used for predictive analysis. This book is a quick learning guide on all the three types of machine learning, that is, supervised, unsupervised, and reinforcement learning with TensorFlow. This book will teach you predictive analytics for high-dimensional and sequence data. In particular, you will learn the linear regression model for regression analysis. You will also learn how to use regression for predicting continuous values. You will learn supervised learning algorithms for predictive analytics. You will explore unsupervised learning and clustering using K-meansYou will then learn how to predict neighborhoods using K-means, and then, see another example of clustering audio clips based on their audio features. This book is ideal for developers, data analysts, machine learning practitioners, and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow. This book is embedded with useful assessments that will help you revise the concepts you have learned in this book. Style and approach This is a fast-paced guide that provides a quick learning solution to all the three types of machine learning, that is, supervised, unsupervised, and reinforcement learning with TensorFlow Note: This book is a blend of text and quizzes, all packaged up keeping your journey in mind. It includes content from the following Packt product: ? Predictive Analytics with TensorFlow by Md. Rezaul Karim

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

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

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

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

Discover the world of Full Stack Development with real-world examples. About This Book ? Leverage the full power of the JHipster platform to build complex web applications ? Create microservices from scratch and convert JHipster monolith apps into microservices ? Build and deploy applications locally, in Docker and on various cloud platforms. Who This Book Is For This book will appeal to developers who would like to build modern web applications quickly. A basic knowledge of the Spring ecosystem would be an added advantage. What You Will Learn ? Build business logic by creating and developing entity models us the JHipster Domain Language ? Customize web applications with Angular, Bootstrap and Spring ? Tests and Continuous Integration with Jenkins ? Utilize the JHipster microservice stack, which includes Netflix Eureka, Spring Cloud config, HashiCorp Consul, and so on. ? Understand advanced microservice concepts such as API rout, load balancing, rate limit, circuit break, centralized configuration server, JWT authentication, and more ? Run microservices locally using Docker and Kubernetes (in production) In Detail JHipster is a development platform to generate, develop, and deploy Spring Boot and Angular/React applications and Spring microservices. It provides you with a variety of tools that will help you quickly build modern web applications. This book will be your guide to building full stack applications with Spring and Angular using the JHipster tool set. You will begin by understanding what JHipster is and the various tools and technologies associated with it. You will learn the essentials of a full stack developer before getting hands-on and building a monolithic web application with JHipster. From here you will learn the JHipster Domain Language with entity modeling and entity creation using JDL and JDL studio. Moving on, you will be introduced to client side technologies such as Angular and Bootstrap and will delve into technologies such as Spring Security, Spring MVC, and Spring Data. You will learn to build and package apps for production with various deployment options such as Heroku and more. During the course of the book, you will be introduced to microservice server-side technologies and how to break your monolithic application with a database of your choice. Next, the book takes you through cloud deployment with microservices on Docker and Kubernetes. Going forward, you will learn to build your client side with React and master JHipster best practices. By the end of the book, you will be able to leverage the power of the best tools available to build modern web applications. Style and approach This comprehensive guide builds a complex production-ready Spring Boot + Angular web application using JHipster platform

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

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

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

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

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

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

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

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