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The Complete Rust Programming Reference Guide

You're reading from   The Complete Rust Programming Reference Guide Design, develop, and deploy effective software systems using the advanced constructs of Rust

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Product type Course
Published in May 2019
Publisher Packt
ISBN-13 9781838828103
Length 698 pages
Edition 1st Edition
Languages
Concepts
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Authors (3):
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Vesa Kaihlavirta Vesa Kaihlavirta
Author Profile Icon Vesa Kaihlavirta
Vesa Kaihlavirta
Rahul Sharma Rahul Sharma
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Rahul Sharma
Claus Matzinger Claus Matzinger
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Claus Matzinger
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Table of Contents (29) Chapters Close

Title Page
Copyright
About Packt
Contributors
Preface
1. Getting Started with Rust FREE CHAPTER 2. Managing Projects with Cargo 3. Tests, Documentation, and Benchmarks 4. Types, Generics, and Traits 5. Memory Management and Safety 6. Error Handling 7. Advanced Concepts 8. Concurrency 9. Metaprogramming with Macros 10. Unsafe Rust and Foreign Function Interfaces 11. Logging 12. Network Programming in Rust 13. Building Web Applications with Rust 14. Lists, Lists, and More Lists 15. Robust Trees 16. Exploring Maps and Sets 17. Collections in Rust 18. Algorithm Evaluation 19. Ordering Things 20. Finding Stuff 21. Random and Combinatorial 22. Algorithms of the Standard Library 1. Other Books You May Enjoy Index

Pseudo-random numbers


In the last few years, random number generation has seen an interesting rise in popularity, yet many developers simply accept the generator provided by whatever technology they use. However, good random numbers are critical for many applications, such as encryption and security (or the lack thereof; see 2010's Sony PlayStation 3 security incident that prompted a famous XKCD—https://xkcd.com/221/), simulation, games, statistics, and biology.

 

 

As a basic principle: the more random a sequence is, the better. The reason for this is obvious. If any number in a sequence of random numbers is statistically dependent on one of the others, it becomes a pattern that can be predicted, and there is no such thing as predictable randomness. Thus, the numbers in a random sequence have to be statistically independent to qualify as good random numbers.

To get these random numbers, either a pseudo-random number generator or a true random number generator can be used (or you can buy a book...

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