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Web API Development with ASP.NET Core 8

You're reading from Web API Development with ASP.NET Core 8 Learn techniques, patterns, and tools for building high-performance, robust, and scalable web APIs

Product type Paperback

Published in Apr 2024

Publisher Packt

ISBN-13 9781804610954

Length 804 pages

Edition 1st Edition

Languages

C#

Tools

.NET Core

Concepts

Web Services

Author (1):

Xiaodi Yan

View More author details

Table of Contents (20) Chapters

Preface

1. Chapter 1: Fundamentals of Web APIs

2. Chapter 2: Getting Started with ASP.NET Core Web APIs FREE CHAPTER

3. Chapter 3: ASP.NET Core Fundamentals (Part 1)

4. Chapter 4: ASP.NET Core Fundamentals (Part 2)

5. Chapter 5: Data Access in ASP.NET Core (Part 1: Entity Framework Core Fundamentals)

6. Chapter 6: Data Access in ASP.NET Core (Part 2 – Entity Relationships)

7. Chapter 7: Data Access in ASP.NET Core (Part 3: Tips)

8. Chapter 8: Security and Identity in ASP.NET Core

9. Chapter 9: Testing in ASP.NET Core (Part 1 – Unit Testing)

10. Chapter 10: Testing in ASP.NET Core (Part 2 – Integration Testing)

11. Chapter 11: Getting Started with gRPC

12. Chapter 12: Getting Started with GraphQL

13. Chapter 13: Getting Started with SignalR

14. Chapter 14: CI/CD for ASP.NET Core Using Azure Pipelines and GitHub Actions

15. Chapter 15: ASP.NET Core Web API Common Practices

16. Chapter 16: Error Handling, Monitoring, and Observability

17. Chapter 17: Cloud-Native Patterns

18. Index

Why subscribe?

19. Other Books You May Enjoy

Technical requirements

The code examples in this chapter can be found at https://github.com/PacktPublishing/Web-API-Development-with-ASP.NET-Core-8/tree/main/samples/chapter12. You can use VS 2022 or VS Code to open the solutions.

The rest of the chapter is locked

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Authors (1)

Yan

Yan

James Yan is an undergraduate student at the University of Toronto (UofT), currently double-majoring in computer science and statistics. He has hands-on knowledge of Python, R, Java, MATLAB, and SQL. During his study at UofT, he has taken many related courses, such as Methods of Data Analysis I and II, Methods of Applied Statistics, Introduction to Databases, Introduction to Artificial Intelligence, and Numerical Methods, including a capstone course on AI in clinical medicine.

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