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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
Author Profile Icon Rahul Sharma
Rahul Sharma
Claus Matzinger Claus Matzinger
Author Profile Icon Claus Matzinger
Claus Matzinger
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Toc

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

The Big O notation


Physics is not a topic in this book, but its influence is far-reaching and powerful enough to be obeyed everywhere, even by virtual constructs such as algorithms! However great their design, they still are constrained by two important factors: time and space.

Time? Whenever anything needs to be done, a sequence of steps is required. By multiplying the number of steps by the time for each step, the total—absolute—time is easy to calculate. Or so we think. For computers, this is mostly true, but many questions make it very hard to really know, since modern CPUs go way beyond what previous generations were able to achieve. Is that only thanks to higher clock rates? What about the additional cores? SIMD? Simply taking the absolute time won't achieve real comparability between algorithms. Maybe the number of steps is what we should use.

Space (as in memory) has become a commodity in many domains over the last few years, even in the embedded space. While the situation has improved...

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