You're reading from C# 12 and .NET 8 – Modern Cross-Platform Development Fundamentals - Eighth Edition Start building websites and services with ASP.NET Core 8, Blazor, and EF Core 8

Product type Book

Published in Nov 2023

Publisher Packt

ISBN-13 9781837635870

Pages 828 pages

Edition 8th Edition

Languages

Concepts

Server Side Web Development

Author (1):

Mark J. Price

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Table of Contents (18) Chapters

Preface

1. Hello, C#! Welcome, .NET!

2. Speaking C# FREE CHAPTER

3. Controlling Flow, Converting Types, and Handling Exceptions

4. Writing, Debugging, and Testing Functions

5. Building Your Own Types with Object-Oriented Programming

6. Implementing Interfaces and Inheriting Classes

7. Packaging and Distributing .NET Types

8. Working with Common .NET Types

9. Working with Files, Streams, and Serialization

10. Working with Data Using Entity Framework Core

11. Querying and Manipulating Data Using LINQ

12. Introducing Web Development Using ASP.NET Core

13. Building Websites Using ASP.NET Core Razor Pages

14. Building and Consuming Web Services

15. Building User Interfaces Using Blazor

16. Epilogue

17. Index

Working with numbers

One of the most common types of data is numbers. The most common types in .NET for working with numbers are shown in Table 8.1:

Namespace	Example type(s)	Description
`System`	`SByte` , `Int16` , `Int32` , `Int64` , `Int128`	Integers; that is, zero, and positive and negative whole numbers.
`System`	`Byte` , `UInt16` , `UInt32` , `UInt64` , `UInt128`	Cardinals; that is, zero and positive whole numbers.
`System`	`Half` , `Single` , `Double`	Reals; that is, floating-point numbers.
`System`	`Decimal`	Accurate reals; that is, for use in science, engineering, or financial scenarios.
`System.Numerics`	`BigInteger` , `Complex` , `Quaternion`	Arbitrarily large integers, complex numbers, and quaternion numbers.

Table 8.1: Common .NET number types

.NET has had the 32-bit float and 64-bit double types since .NET Framework 1.0 was released in 2002. The IEEE 754 specification also defines a 16-bit floating-point standard. Machine learning and other algorithms would benefit from this smaller, lower-precision...