- Where is Rust's implementation of generic algorithms on collections?
- When is a linear search better than a binary search?
- Potential job interview question: What are stable and unstable sorting algorithms?
- What is a bad behavior exhibited by Quicksort that pattern-defeating Quicksort mitigates?
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Hands-On Data Structures and Algorithms with Rust
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Hands-On Data Structures and Algorithms with Rust
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Overview of this book
Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer.
The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking.
By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications.
Table of Contents (15 chapters)
Preface
Free Chapter
Hello Rust!
Cargo and Crates
Storing Efficiently
Lists, Lists, and More Lists
Robust Trees
Exploring Maps and Sets
Collections in Rust
Algorithm Evaluation
Ordering Things
Finding Stuff
Random and Combinatorial
Algorithms of the Standard Library
Assessments
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