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Apps and Services with .NET 7

You're reading from   Apps and Services with .NET 7 Build practical projects with Blazor, .NET MAUI, gRPC, GraphQL, and other enterprise technologies

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781801813433
Length 814 pages
Edition 1st 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 (23) Chapters Close

Preface 1. Introducing Apps and Services with .NET 2. Managing Relational Data Using SQL Server FREE CHAPTER 3. Managing NoSQL Data Using Azure Cosmos DB 4. Benchmarking Performance, Multitasking, and Concurrency 5. Implementing Popular Third-Party Libraries 6. Observing and Modifying Code Execution Dynamically 7. Handling Dates, Times, and Internationalization 8. Protecting Your Data and Applications 9. Building and Securing Web Services Using Minimal APIs 10. Exposing Data via the Web Using OData 11. Combining Data Sources Using GraphQL 12. Building Efficient Microservices Using gRPC 13. Broadcasting Real-Time Communication Using SignalR 14. Building Serverless Nanoservices Using Azure Functions 15. Building Web User Interfaces Using ASP.NET Core 16. Building Web Components Using Blazor WebAssembly 17. Leveraging Open-Source Blazor Component Libraries 18. Building Mobile and Desktop Apps Using .NET MAUI 19. Integrating .NET MAUI Apps with Blazor and Native Platforms 20. Introducing the Survey Project Challenge 21. Epilogue 22. Index

Generating random numbers

Sometimes you need to generate random numbers, perhaps in a game that simulates rolls of a die, or for use with cryptography in encryption or signing. There are a couple of classes that can generate random numbers in .NET.

Generating random numbers for games and similar apps

In scenarios that don’t need truly random numbers, like games, you can use a shared instance of the Random class or create an instance of the Random class, as shown in the following code example:

Random r1 = Random.Shared; // Thread-safe
Random r2 = new(); // NOT thread-safe

Random has a constructor with a parameter for specifying a seed value used to initialize its pseudo-random number generator, as shown in the following code:

Random r = new(Seed: 46378);

Good Practice: Shared seed values act as a secret key, so if you use the same random number generation algorithm with the same seed value in two applications, then they can generate the same...

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