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Hands-On Data Structures and Algorithms with Rust

You're reading from Hands-On Data Structures and Algorithms with Rust Learn programming techniques to build effective, maintainable, and readable code in Rust 2018

Product type Paperback

Published in Jan 2019

Publisher Packt

ISBN-13 9781788995528

Length 316 pages

Edition 1st Edition

Languages

Rust

Concepts

Data Structures and Algorithms

Author (1):

Claus Matzinger

View More author details

Table of Contents (15) Chapters

Preface

1. Hello Rust! FREE CHAPTER

2. Cargo and Crates

3. Storing Efficiently

4. Lists, Lists, and More Lists

5. Robust Trees

6. Exploring Maps and Sets

7. Collections in Rust

8. Algorithm Evaluation

9. Ordering Things

10. Finding Stuff

11. Random and Combinatorial

12. Algorithms of the Standard Library

13. Assessments

14. Other Books You May Enjoy

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Questions

Why estimate runtime complexity over, for example, number of statements?
How does runtime complexity relate to math functions?
Is the complexity class that is typically provided the best or worst case?
Why are loops important in estimating complexity?
Is O(n log(n)) a better or worse runtime complexity than O(log(n))?
What are some commonly known complexity classes?

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Authors (1)

Claus Matzinger

Claus Matzinger

Claus Matzinger is a software engineer with a very diverse background. After working in a small company maintaining code for embedded devices, he joined a large corporation to work on legacy Smalltalk applications. This led to a great interest in programming languages early on, and Claus became the CTO for a health games start-up based on Scala technology. Since then, Claus' roles have shifted toward customer-facing roles in the IoT database-technology start-up crate.io and, most recently, Microsoft. There, he hosts a podcast, writes code together with customers, and blogs about the solutions arising from these engagements. For more than 5 years, Claus has implemented software to help customers innovate, achieve, and maintain success.

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