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C# 12 and .NET 8 – Modern Cross-Platform Development Fundamentals

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

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837635870
Length 828 pages
Edition 8th Edition
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Author (1):
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Mark J. Price Mark J. Price
Author Profile Icon Mark J. Price
Mark J. Price
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Table of Contents (18) Chapters Close

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...

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