Mastering Node.js. Expert techniques for building fast servers and scalable, real-time network applications with minimal effort

Sandro Pasquali

Node.js is a modern development stack focused on providing an easy way to build scalable network software. Backed by a growing number of large companies and a rapidly increasing developer base, Node is revolutionizing the way that software is being built today. Powered by Google's V8 engine and built out of C++ modules, this is a JavaScript environment for the enterprise.Mastering Node.js will take the reader deep into this exciting development environment. Beginning with a comprehensive breakdown of its innovative non-blocking evented design, Node's structure is explained in detail, laying out how its blazingly fast I/O performance simplifies the creation of fast servers, scalable architectures, and responsive web applications.Mastering Node.js takes you through a concise yet thorough tour of Node's innovative evented non-blocking design, showing you how to build professional applications with the help of detailed examples.Learn how to integrate your applications with Facebook and Twitter, Amazon and Google, creating social apps and programs reaching thousands of collaborators on the cloud. See how the Express and Path frameworks make the creation of professional web applications painless. Set up one, two, or an entire server cluster with just a few lines of code, ready to scale as soon as you're ready to launch. Move data seamlessly between databases and file systems, between clients, and across network protocols, using a beautifully designed, consistent, and predictable set of tools.Mastering Node.js contains all of the examples and explanations you'll need to build applications in a short amount of time and at a low cost, running on a scale and speed that would have been nearly impossible just a few years ago.

Simulation for Data Science with R. Effective Data-driven Decision Making

Matthias Templ

Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world.The book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentation of results.By the end of this book, you reader will get in touch with the software environment R. After getting background on popular methods in the area, you will see applications in R to better understand the methods as well as to gain experience when working on real-world data and real-world problems.

SQL Server 2014 with PowerShell v5 Cookbook. Over 150 real-world recipes to simplify database management, automate repetitive tasks, and enhance your productivity

Donabel Santos

The Immersive Metaverse Playbook for Business Leaders. A guide to strategic decision-making and implementation in the metaverse for improved products and services

Irena Cronin, Robert Scoble, Hugo Swart

“The metaverse” has become a widely known term within a very short time span. The Immersive Metaverse Playbook for Business Leaders explicitly explains what it really refers to and shows you how to plot your business road map using the metaverse.This book helps you understand the concept of the metaverse, along with the implementation of generative AI in it. You'll not only get to grips with the underlying concepts, but also take a closer look at key technologies that power the metaverse, enabling you to plan your business road map. The chapters include use cases on social interaction, work, entertainment, art, and shopping to help you make better decisions when it comes to metaverse product and service development. You’ll also explore the overall societal benefits and dangers related to issues such as privacy encroachment, technology addiction, and sluggishness. The concluding chapters discuss the future of AR and VR roles in the metaverse and the metaverse as a whole to enable you to make long-term business plans.By the end of this book, you'll be able to successfully invest, build, and market metaverse products and services that set you apart as a progressive technology leader.

WordPress 2.8 Theme Design. Create flexible, powerful, and professional themes for your WordPress blogs and web sites

Tessa B. Silver, Matt Mullenweg

Themes are among the most powerful features that can be used to customize a web site, especially in WordPress. Using custom themes you can brand your site for a particular corporate image, ensure standards compliance, and create easily navigable layouts. But most WordPress users still continue to use default themes as developing and deploying themes that are flexible and easily maintainable is not always straightforward.It's easy to create powerful and professional themes for your WordPress web site when you've got this book to hand. It provides clear, step-by-step instructions to create a robust and flexible WordPress theme, along with best practices for theme development. It will take you through the ins and outs of creating sophisticated professional themes for the WordPress personal publishing platform. It reviews the best practices from development tools and setting up your WordPress sandbox, through design tips and suggestions, to setting up your theme's template structure, coding markup, testing and debugging, to taking it live. The last three chapters are dedicated to additional tips, tricks, and various cookbook recipes for adding popular site enhancements to your WordPress theme designs using third-party plugins.Whether you're working with a pre-existing theme or creating a new one from the ground up, WordPress Theme Design will give you the know-how to understand how themes work within the WordPress blog system, enabling you to take full control over your site's design and branding.

Building Micro Frontends with React 18. Develop and deploy scalable applications using micro frontend strategies

Vinci J Rufus

Although deservedly popular and highly performant tools for building modern web applications, React and single-page applications (SPAs) become more and more sluggish as your applications and teams grow. To solve this problem, many large web apps have started to break down monolith SPAs into independently deployable smaller apps and components—a pattern called micro frontends. But micro frontends aren't a perfect solution, but rather a double-edged sword. This book teaches you how to architect and build them with the right principles to reap all the benefits without the pitfalls.This book will take you through two patterns of building micro frontends, the multi-SPA pattern and the micro apps pattern. You’ll find out which patterns to use and when, as well as take a look at the nuances of deploying these micro frontends using cloud-native technologies such as Kubernetes and Firebase. With the help of this book, you’ll gain an in-depth understanding of state management, solving problems with routing, and deployment strategies between the different micro frontends.By the end of this book, you’ll have learned how to design and build a React-based micro frontend application using module federation and deploy it to the cloud efficiently.

Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras

Yuxi (Hayden) Liu, Saransh Mehta

Deep learning architectures are composed of multilevel nonlinear operations that represent high-level abstractions; this allows you to learn useful feature representations from the data. This book will help you learn and implement deep learning architectures to resolve various deep learning research problems.Hands-On Deep Learning Architectures with Python explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations and ideas to help you build efficient artificial intelligence systems (AI), this book will help you learn how neural networks play a major role in building deep architectures. You will understand various deep learning architectures (such as AlexNet, VGG Net, GoogleNet) with easy-to-follow code and diagrams. In addition to this, the book will also guide you in building and training various deep architectures such as the Boltzmann mechanism, autoencoders, convolutional neural networks (CNNs), recurrent neural networks (RNNs), natural language processing (NLP), GAN, and more—all with practical implementations.By the end of this book, you will be able to construct deep models using popular frameworks and datasets with the required design patterns for each architecture. You will be ready to explore the potential of deep architectures in today's world.

Professional Cloud Architect Google Cloud Certification Guide. Build a solid foundation in Google Cloud Platform to achieve the most lucrative IT certification - Second Edition

Konrad Cłapa, Brian Gerrard, Yujun Liang

Google Cloud Platform (GCP) is one of the industry leaders thanks to its array of services that can be leveraged by organizations to bring the best out of their infrastructure. This book is a comprehensive guide for learning methods to effectively utilize GCP services and help you become acquainted with the topics required to pass Google's Professional Cloud Architect certification exam.Following the Professional Cloud Architect's official exam syllabus, you'll first be introduced to the GCP. The book then covers the core services that GCP offers, such as computing and storage, and takes you through effective methods of scaling and automating your cloud infrastructure. As you progress through the chapters, you'll get to grips with containers and services and discover best practices related to the design and process. This revised second edition features new topics such as Cloud Run, Anthos, Data Fusion, Composer, and Data Catalog.By the end of this book, you'll have gained the knowledge required to take and pass the Google Cloud Certification – Professional Cloud Architect exam and become an expert in GCP services.