Book Image

C# 8 and .NET Core 3 Projects Using Azure - Second Edition

By : Paul Michaels, Dirk Strauss, Jas Rademeyer
Book Image

C# 8 and .NET Core 3 Projects Using Azure - Second Edition

By: Paul Michaels, Dirk Strauss, Jas Rademeyer

Overview of this book

.NET Core is a general-purpose, modular, cross-platform, and opensource implementation of .NET. The latest release of .NET Core 3 comes with improved performance and security features, along with support for desktop applications. .NET Core 3 is not only useful for new developers looking to start learning the framework, but also for legacy developers interested in migrating their apps. Updated with the latest features and enhancements, this updated second edition is a step-by-step, project-based guide. The book starts with a brief introduction to the key features of C# 8 and .NET Core 3. You'll learn to work with relational data using Entity Framework Core 3, before understanding how to use ASP.NET Core. As you progress, you’ll discover how you can use .NET Core to create cross-platform applications. Later, the book will show you how to upgrade your old WinForms apps to .NET Core 3. The concluding chapters will then help you use SignalR effectively to add real-time functionality to your applications, before demonstrating how to implement MongoDB in your apps. Finally, you'll delve into serverless computing and how to build microservices using Docker and Kubernetes. By the end of this book, you'll be proficient in developing applications using .NET Core 3.
Table of Contents (13 chapters)

Concepts overview

Before we start building anything, let's briefly discuss at a high level the two main concepts in this chapter.

Machine learning

This is a huge topic, and far too big to cover in any kind of sensible depth in one section. However, it's worth covering, briefly, what machine learning is, and what it is not.

In this chapter, we'll be taking an image of a face and uploading it into a machine learning service. This service will provide details regarding whether it thinks that face is happy, sad, angry, or anything else. It's important to try and not anthropomorphise this process. The algorithm will analyze the face and return percentages of certainty; however, this is based on it seeing many...