文件名称：Hands-On Data Structures and Algorithms with Rust.epub
文件大小：3.12MB
文件格式：EPUB
更新时间：2022-07-11 08:09:28
rust data structures
rust 数据结构与算法，英文版，epub格式 Chapter 1, Hello Rust!, gives a short recap of the Rust programming language and what changed in the 2018 edition. Chapter 2, Cargo and Crates, discusses Rust's cargo build tool. We will explore the configuration as well as the build process and modularization options. Chapter 3, Storing Efficiently, looks at how in Rust, knowing where values are stored is not only important for performance, but also important for understanding error messages and the language in general. In this chapter, we think about stack and heap memory. Chapter 4, Lists, Lists, and More Lists, covers the first data structures: lists. Using several examples, this chapter goes into variations of sequential data structures and their implementations. Chapter 5, Robust Trees, continues our journey through popular data structures: trees are next on the list. In several detailed examples, we explore the inner workings of these efficient designs and how they improve application performance considerably. Chapter 6, Exploring Maps and Sets, explores the most popular key-value stores: maps. In this chapter, techniques surrounding hash maps; hashing; and their close relative, the set; are described in detail. Chapter 1, Hello Rust!, gives a short recap of the Rust programming language and what changed in the 2018 edition. Chapter 2, Cargo and Crates, discusses Rust's cargo build tool. We will explore the configuration as well as the build process and modularization options. Chapter 3, Storing Efficiently, looks at how in Rust, knowing where values are stored is not only important for performance, but also important for understanding error messages and the language in general. In this chapter, we think about stack and heap memory. Chapter 4, Lists, Lists, and More Lists, covers the first data structures: lists. Using several examples, this chapter goes into variations of sequential data structures and their implementations. Chapter 5, Robust Trees, continues our journey through popular data structures: trees are next on the list. In several detailed examples, we explore the inner workings of these efficient designs and how they improve application performance considerably. Chapter 6, Exploring Maps and Sets, explores the most popular key-value stores: maps. In this chapter, techniques surrounding hash maps; hashing; and their close relative, the set; are described in detail.