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Hands-On Data Structures and Algorithms with Rust

Hands-On Data Structures and Algorithms with Rust

By : Claus Matzinger
2.7 (3)
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Hands-On Data Structures and Algorithms with Rust

Hands-On Data Structures and Algorithms with Rust

2.7 (3)
By: Claus Matzinger

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)
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Linked lists

To keep track of a bunch of items, there is a simple solution: with each entry in the list, store a pointer to the next entry. If there is no next item, store null/nil/None and so on, and keep a pointer to the first item. This is called a singly linked list, where each item is connected with a single link to the next, as shown in the following diagram—but you already knew that:

What are the real use cases for a linked list though? Doesn't everyone just use a dynamic array for everything?

Consider a transaction log, a typical append-only structure. Any new command (such as a SQL statement) is simply appended to the existing chain and is eventually written to a persistent storage. Thus, the initial requirements are simple:

  • Append a command to an existing list
  • Replay every command from the beginning to the end—in that order

In other words, its a...

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