Enhancing Virtual Reality Experiences with Unity 2022. Use Unity's latest features to level up your skills for VR games, apps, and other projects

Steven Antonio Christian, Patrick B. Thomas

Virtual reality (VR) has emerged as one of the most transformative mediums of the 21st century, finding applications in various industries, including gaming, entertainment, and education.Enhancing Virtual Reality Experiences with Unity 2022 takes you into the fascinating realm of VR, where creativity meets cutting-edge technology to bring tangible real-world applications to life. This immersive exploration not only equips you with the essential skills needed to craft captivating VR environments using Unity's powerful game engine but also offers a deeper understanding of the philosophy behind creating truly immersive experiences.Throughout the book, you’ll work with practical VR scene creation, interactive design, spatial audio, and C# programming and prepare to apply these skills to real-world projects spanning art galleries, interactive playgrounds, and beyond. To ensure your VR creations reach their full potential, the book also includes valuable tips on optimization, guaranteeing maximum immersion and impact for your VR adventures.By the end of this book, you’ll have a solid understanding of VR’s versatility and how you can leverage the Unity game engine to create groundbreaking projects.

Modern Computer Vision with PyTorch. Explore deep learning concepts and implement over 50 real-world image applications

V Kishore Ayyadevara, Yeshwanth Reddy

Deep learning is the driving force behind many recent advances in various computer vision (CV) applications. This book takes a hands-on approach to help you to solve over 50 CV problems using PyTorch1.x on real-world datasets.You’ll start by building a neural network (NN) from scratch using NumPy and PyTorch and discover best practices for tweaking its hyperparameters. You’ll then perform image classification using convolutional neural networks and transfer learning and understand how they work. As you progress, you’ll implement multiple use cases of 2D and 3D multi-object detection, segmentation, human-pose-estimation by learning about the R-CNN family, SSD, YOLO, U-Net architectures, and the Detectron2 platform. The book will also guide you in performing facial expression swapping, generating new faces, and manipulating facial expressions as you explore autoencoders and modern generative adversarial networks. You’ll learn how to combine CV with NLP techniques, such as LSTM and transformer, and RL techniques, such as Deep Q-learning, to implement OCR, image captioning, object detection, and a self-driving car agent. Finally, you'll move your NN model to production on the AWS Cloud.By the end of this book, you’ll be able to leverage modern NN architectures to solve over 50 real-world CV problems confidently.

RavenDB 2.x Beginner's Guide. For .NET developers who want to acquire document-oriented database skills, there is no better introduction to RavenDB than this book. It covers all the bases in a user-friendly style that makes learning fast and easy

Khaled Tannir

RavenDB is a second generation document database written in .NET, offering a flexible data model designed to address requirements coming from real-world systems. It is different from the other document databases around, as with RavenDB you can get up and running in a few minutes, and that includes grasping all the basics. It allows you to build high-performance, low-latency applications with ease and efficiency.RavenDB 2.x Beginner's Guide introduces RavenDB concepts and teaches you everything, right from installing RavenDB, to creating documents, and querying indexes. This book will help you take advantage of powerful, document-oriented NoSQL databases and build a solid foundation on which you can create your .NET applications.This book presents RavenDB, the .NET document-oriented NoSQL database, through a series of clear and practical exercises that will help you to take advantage of this database server.The book starts off with an introduction to RavenDB and its Management Studio. You will then move ahead and learn how to quickly and efficiently build high performance, NoSQL document-oriented .NET applications using the .NET client API or the HTTP REST API. Next, Dynamic and static indexes that use map/reduce to process datasets are covered. You will then see how to create and query these indexes, with the help of detailed examples. You will also learn how to deploy your RavenDB server in a production environment and how to optimize and secure it.With numerous practical examples, RavenDB 2.x Beginner's Guide teaches you everything you need to know for building high performance .NET document-oriented NoSQL databases.

Drupal 6 Content Administration. Maintain, add to, and edit content of your Drupal site with ease

Dries Buytaert, J. Ayen Green

Often a company hires a web designer to build its Drupal site, and then takes over running the site in house. This book is for the Content Editors concerned with the ongoing creation and maintenance of the site content.In a few hours, you'll have the knowledge needed to maintain and edit your web site as a content-rich place that visitors return to again and again. There are many books available to help you administer a Drupal site, but this is the only one specifically for Content Editors. This book doesn't cover designing or creating a site. However, anybody who has built their own site but needs some help using the article management features will also benefit from it.This book is a quick-start guide, aimed at Content Editors. The author's experience enables him to explain in an efficient and interactive manner how you can keep your site up to date. The book begins with a discussion of content management and Drupal and then teaches you how to create content, add elements to it, and make the content findable. You will then learn to set up the framework for a creative team and the various options for editing content offline, their benefits and pitfalls.This book helps you to quickly and easily solve problems, and manage content and users for a web site. It will help you become a more effective and efficient manager of Drupal-based web sites.

Vue CLI 3 Quick Start Guide. Build and maintain Vue.js applications quickly with the standard CLI

Ajdin Imsirovic

The sprawling landscape of various tools in JavaScript web development is becoming overwhelming. This book will show you how Vue CLI 3 can help you take back control of the tool chain. To that end, we'll begin by configuring webpack, utilizing HMR, and using single-file .vue components. We'll also use SCSS, ECMAScript, and TypeScript. We'll unit test with Jest and perform E2E testing with Cypress.This book will show you how to configure Vue CLI as your default way of building Vue projects. You'll discover the reasons behind using webpack, babel, eslint, and other modern JavaScript toolchain technologies. You'll learn about the inner workings of each through the lens of Vue CLI 3. We'll explore the extendibility of Vue CLI with the built-in settings, and various core and third-party plugins.Vue CLI helps you work with Vue components, routers, directives, and services in the Vue ecosystem. While learning these concepts, you'll examine the evolution of JavaScript. You'll learn about use of npm, IIFEs, modules in JavaScript, Common.js modules, task runners, npm scripts, module bundlers, and webpack. You'll get familiar with the reasons why Vue CLI 3 is set up the way it is. You'll also learn to perform linting with ESLint and Prettier.Towards the end, we'll introduce you to working with styles and SCSS. Finally, we'll show you how to deploy your very own Vue project on Github Pages.

Machine Learning Engineering with MLflow. Manage the end-to-end machine learning life cycle with MLflow

Natu Lauchande

MLflow is a platform for the machine learning life cycle that enables structured development and iteration of machine learning models and a seamless transition into scalable production environments.This book will take you through the different features of MLflow and how you can implement them in your ML project. You will begin by framing an ML problem and then transform your solution with MLflow, adding a workbench environment, training infrastructure, data management, model management, experimentation, and state-of-the-art ML deployment techniques on the cloud and premises. The book also explores techniques to scale up your workflow as well as performance monitoring techniques. As you progress, you’ll discover how to create an operational dashboard to manage machine learning systems. Later, you will learn how you can use MLflow in the AutoML, anomaly detection, and deep learning context with the help of use cases. In addition to this, you will understand how to use machine learning platforms for local development as well as for cloud and managed environments. This book will also show you how to use MLflow in non-Python-based languages such as R and Java, along with covering approaches to extend MLflow with Plugins.By the end of this machine learning book, you will be able to produce and deploy reliable machine learning algorithms using MLflow in multiple environments.

Functional C#. Uncover the secrets of functional programming using C# and change the way you approach your applications

Wisnu Anggoro

Functional programming makes your application faster, improves performance, and increases your productivity. C# code is written at a higher level of abstraction, so that code will be closer to business requirements, abstracting away many low-level implementation details.This book bridges the language gap for C# developers by showing you how to create and consume functional constructs in C#. We also bridge the domain gap by showing how functional constructs can be applied in business scenarios. We’ll take you through lambda expressions and extension methods, and help you develop a deep understanding of the concepts and practices of LINQ and recursion in C#.By the end of the book, you will be able to write code using the best approach and will be able to perform unit testing in functional programming, changing how you write your applications and revolutionizing your projects.

The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data

Pierre-Yves BONNEFOY, Emeric CHAIZE, Raphaël MANSUY, Mehdi TAZI, ...

The Definitive Guide to Data Integration is an indispensable resource for navigating the complexities of modern data integration. Focusing on the latest tools, techniques, and best practices, this guide helps you master data integration and unleash the full potential of your data.This comprehensive guide begins by examining the challenges and key concepts of data integration, such as managing huge volumes of data and dealing with the different data types. You’ll gain a deep understanding of the modern data stack and its architecture, as well as the pivotal role of open-source technologies in shaping the data landscape. Delving into the layers of the modern data stack, you’ll cover data sources, types, storage, integration techniques, transformation, and processing. The book also offers insights into data exposition and APIs, ingestion and storage strategies, data preparation and analysis, workflow management, monitoring, data quality, and governance. Packed with practical use cases, real-world examples, and a glimpse into the future of data integration, The Definitive Guide to Data Integration is an essential resource for data eclectics.By the end of this book, you’ll have the gained the knowledge and skills needed to optimize your data usage and excel in the ever-evolving world of data.