Blazor WebAssembly By Example. Use practical projects to start building web apps with .NET 7, Blazor WebAssembly, and C# - Second Edition

Toi B. Wright, Scott Hanselman

Blazor WebAssembly helps developers build web applications without the need for JavaScript, plugins, or add-ons. With its continued growth in popularity, getting started with Blazor now can open doors to new career paths and exciting projects – and Blazor WebAssembly by Example will make your first steps easier. This is a project-based guide that will teach you how to build single-page web applications with Blazor, focusing heavily on the practical over the theoretical by providing detailed step-by-step instructions for each project. The author also includes a video for each project showing her following the step-by-step instructions, so readers can use them if they're unsure about any particular step.In this updated edition, you'll start by building simple standalone web applications and gradually progress to developing more advanced hosted web applications with SQL Server backends. Each project will cover a different aspect of the Blazor WebAssembly ecosystem, such as Razor components, JavaScript interop, security, event handling, debugging on the client, application state, and dependency injection. The book’s projects get more challenging as you progress, but you don’t have to complete them in order, which makes this book a valuable resource for beginners as well as those who just want to dip into specific topics.By the end of this book, you will have experience and lots of know-how on how to build a wide variety of single-page web applications with .NET, Blazor WebAssembly, and C#.

The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques

Ee Kin Chin

Deep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives.This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency.As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications.By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.

Managing IaaS and DBaaS Clouds with Oracle Enterprise Manager Cloud Control 12c. Setting up a cloud environment is rarely smooth sailing but with this guide to Oracle Enterprise Manager Cloud Control, it just got a lot more manageable. Practical advice and lots of examples make it the ideal assistant

Ved Antani

Cloud computing has transformed the way that we write and deploy enterprise software. Oracle Enterprise Manager Cloud Control 12c has been designed to work with the cloud platform and reduce downtime, while improving performance and productivity. You can quickly set up, manage, and support enterprise clouds.This practical, example-oriented guide untangles many of the complexities involved in setting up a complete cloud computing platform. This book explores several methods of setting up IaaS and DBaaS using Oracle's Enterprise Manager. Step-by-step, this guide will quickly familiarize you with the most important aspects of setting up a cloud platform.This book delves deep into the complexities surrounding cloud computing and comprehensively explores the approach that you need to take to build an effective infrastructure. You will start with a step-by-step approach to building an Infrastructure as a Service (IaaS), and take an in-depth view of building a Database as a Service (DBaaS) model of cloud computing. Following on from this, you will learn how the chargeback mechanism works and how it can be configured for your needs. Next, you will also learn how to use a programmable interface to manage your cloud via APIs and web services.This guide will walk you through the various components of Oracle Enterprise Manager and will teach you how to use them efficiently. This book will also explain how you can use cloud APIs to program your cloud.

Getting Started with Microsoft System Center Operations Manager. Using SCOM 2016 TP 5

Kevin Greene, Kevin Greene

Most modern IT environments comprise a heterogeneous mixture of servers, network devices, virtual hypervisors, storage solutions, cross-platform operating systems and applications. All this complexity brings a requirement to deliver a centralized monitoring and reporting solution that can help IT administrators quickly identify where the problems are and how best to resolve them. Using System Center Operations Manager (OpsMgr), administrators get a full monitoring overview of the IT services they have responsibility for across the organization - along with some useful management capabilities to help them remediate any issues they've been alerted to.This book begins with an introduction to OpsMgr and its core concepts and then walks you through designing and deploying the various roles. After a chapter on exploring the consoles, you will learn how to deploy agents, work with management packs, configure network monitoring and model your IT services using distributed applications. There’s a chapter dedicated to alert tuning and another that demonstrates how to visualize your IT using dashboards. The final chapters in the book discuss how to create alert subscriptions, manage reports, backup and recover OpsMgr, perform maintenance and troubleshoot common problems.

Front-End Development Projects with Vue.js. Learn to build scalable web applications and dynamic user interfaces with Vue 2

Raymond Camden, Hugo Di Francesco, Clifford Gurney, Philip Kirkbride, ...

Are you looking to use Vue 2 for web applications, but don't know where to begin? Front-End Development Projects with Vue.js will help build your development toolkit and get ready to tackle real-world web projects. You'll get to grips with the core concepts of this JavaScript framework with practical examples and activities.Through the use-cases in this book, you'll discover how to handle data in Vue components, define communication interfaces between components, and handle static and dynamic routing to control application flow. You'll get to grips with Vue CLI and Vue DevTools, and learn how to handle transition and animation effects to create an engaging user experience. In chapters on testing and deploying to the web, you'll gain the skills to start working like an experienced Vue developer and build professional apps that can be used by other people.You'll work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. These mini projects include a chat interface, a shopping cart and price calculator, a to-do app, and a profile card generator for storing contact details.By the end of this book, you'll have the confidence to handle any web development project and tackle real-world front-end development problems.

Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10

Dmitry Anoshin, Himani Rana, Ning Ma, Neil Mehta

Business intelligence is becoming more important by the day, with cloud offerings and mobile devices gaining wider acceptance and achieving better market penetration. MicroStrategy Reporting Suite is an absolute leader in the BI market and offers rich capabilities from basic data visualizations to predictive analytics. It lets you various delivery methods such as the Web, desktops, and mobiles.Using real-world BI scenarios, this book helps you to implement Business Analytics solutions in big e-commerce companies. It kicks off with MicroStrategy 10 features and then covers schema design models and techniques. Building upon your existing knowledge, the book will teach you advanced techniques for building documents and dashboards. It further teaches various graphical techniques for presenting data for analysis using maps, graphs, and advanced charts. Although MicroStrategy has rich functionality, the book will show how to customize it in order to meet your business requirements. You will also become familiar with the native analytical functions that will help you to maximize the impact of BI solutions with powerful predictive analytics. Furthermore, the book will focus on MicroStrategy Mobile Analytics along with data discovery and desktop capabilities such as connecting various data sources and building interactive dashboards. The book will also uncover best practices, troubleshooting techniques for MicroStrategy system administration, and also security and authentication techniques. Lastly, you will learn to use Hadoop for MicroStrategy reporting.By the end of the book, you will become proficient in evaluating any BI software in order to choose the best one that meets all business requirements.

Learn Robotics Programming. Build and control AI-enabled autonomous robots using the Raspberry Pi and Python - Second Edition

Danny Staple

We live in an age where the most complex or repetitive tasks are automated. Smart robots have the potential to revolutionize how we perform all kinds of tasks with high accuracy and efficiency. With this second edition of Learn Robotics Programming, you'll see how a combination of the Raspberry Pi and Python can be a great starting point for robot programming.The book starts by introducing you to the basic structure of a robot and shows you how to design, build, and program it. As you make your way through the book, you'll add different outputs and sensors, learn robot building skills, and write code to add autonomous behavior using sensors and a camera. You'll also be able to upgrade your robot with Wi-Fi connectivity to control it using a smartphone. Finally, you'll understand how you can apply the skills that you've learned to visualize, lay out, build, and code your future robot building projects.By the end of this book, you'll have built an interesting robot that can perform basic artificial intelligence operations and be well versed in programming robots and creating complex robotics projects using what you've learned.

Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS

Gareth Eagar

Written by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS.As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data.By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.