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Hands-On Data Structures and Algorithms with Rust
Hands-On Data Structures and Algorithms with Rust

Hands-On Data Structures and Algorithms with Rust: Learn programming techniques to build effective, maintainable, and readable code in Rust 2018

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Profile Icon Claus Matzinger
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Can$30.99 Can$44.99
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.7 (3 Ratings)
eBook Jan 2019 316 pages 1st Edition
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Can$30.99 Can$44.99
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Arrow left icon
Profile Icon Claus Matzinger
Arrow right icon
Can$30.99 Can$44.99
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.7 (3 Ratings)
eBook Jan 2019 316 pages 1st Edition
eBook
Can$30.99 Can$44.99
Paperback
Can$55.99
Subscription
Free Trial
eBook
Can$30.99 Can$44.99
Paperback
Can$55.99
Subscription
Free Trial

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Hands-On Data Structures and Algorithms with Rust

Cargo and Crates

Rust is a rather young language that has been designed from scratch to be a practical and useful tool for programmers. This is a great situation to be in: there are no legacy applications to care about, and many lessons learned from other languages have been incorporated in Rust—especially around tooling.

Integrating and managing third-party packages has been an issue in the past for a lot of languages, and there are a few different approaches out there:

  • NPM: The package manager for Node, which has been very popular with the JavaScript community
  • Maven: Enterprise-grade Java package management, based on the XML format
  • NuGet: .NET's package management
  • PyPI: The Python package index

Each of these has different styles of configuration, naming guidelines, publishing infrastructure, features, plugins, and so on. The Rust team learned from all of these...

Cargo

The basic Rust tooling is composed of three programs:

  • cargo: The Rust package manager
  • rustc: The Rust compiler
  • rustup: The Rust toolchain manager

Most users will never touch (or even see) rustc directly, but will usually use rustup to install it and then let cargo orchestrate the compilation.

Running cargo without any arguments reveals the subcommands it provides:

$ cargo
Rust's package manager

USAGE:
cargo [OPTIONS] [SUBCOMMAND]

OPTIONS:
-V, --version Print version info and exit
--list List installed commands
--explain <CODE> Run `rustc --explain CODE`
-v, --verbose Use verbose output (-vv very verbose/build.rs output)
-q, --quiet No output printed to stdout
--color <WHEN> Coloring: auto, always, never
--frozen Require Cargo.lock and cache are...

Crates

Rust's modules (crates) can easily be packaged and distributed once all the compilation and testing is done, regardless of whether they are libraries or executables. First, let's take a look at Rust binaries in general.

Rust libraries and binaries

There are executable binaries and libraries in Rust. When these Rust programs use dependencies, they rely on the linker to integrate those so it will work on—at least—the current platform. There are two major types of linking: static and dynamic—both of which are somewhat dependent on the operating system.

Static and dynamic libraries

...

Summary

cargo is Rust's package manager and build tool that is configurable with a manifest called Cargo.toml. The file is used by cargo to build the desired binary with the specified dependencies, profiles, workspaces, and package metadata. During this process, the package state is saved in a file called Cargo.lock. Thanks to its LLVM frontend, Rust compiles to native code on various platforms including the web (using Wasm)—thus keeping a high degree of interoperabilty. Successfully-built packages can be published on a repository called crates.io, a website that is a central hub for available Rust libraries and binaries.

Before we dive into data structures (starting with lists), the next chapter will introduce the ways Rust stores variables and data in memory, whether to copy or to clone, and what sized and unsized types are.

...

Questions

  • What does cargo do?
  • Does cargo provide linting support?
  • In which cases is the Cargo.lock file important to publish?
  • What are the requirements to publish to crates.io?
  • What is Wasm and why should you care?
  • How are tests organized in a Rust project?

Further reading

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Key benefits

  • Use data structures such as arrays, stacks, trees, lists and graphs with real-world examples
  • Learn the functional and reactive implementations of the traditional data structures
  • Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner

Description

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.

Who is this book for?

This book is for developers seeking to use Rust solutions in a practical/professional setting; who wants to learn essential Data Structures and Algorithms in Rust. It is for developers with basic Rust language knowledge, some experience in other programming languages is required.

What you will learn

  • Design and implement complex data structures in Rust
  • Analyze, implement, and improve searching and sorting algorithms in Rust
  • Create and use well-tested and reusable components with Rust
  • Understand the basics of multithreaded programming and advanced algorithm design
  • Become familiar with application profiling based on benchmarking and testing
  • Explore the borrowing complexity of implementing algorithms

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 25, 2019
Length: 316 pages
Edition : 1st
Language : English
ISBN-13 : 9781788991490
Category :
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Product Details

Publication date : Jan 25, 2019
Length: 316 pages
Edition : 1st
Language : English
ISBN-13 : 9781788991490
Category :
Languages :

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Table of Contents

14 Chapters
Hello Rust! Chevron down icon Chevron up icon
Cargo and Crates Chevron down icon Chevron up icon
Storing Efficiently Chevron down icon Chevron up icon
Lists, Lists, and More Lists Chevron down icon Chevron up icon
Robust Trees Chevron down icon Chevron up icon
Exploring Maps and Sets Chevron down icon Chevron up icon
Collections in Rust Chevron down icon Chevron up icon
Algorithm Evaluation Chevron down icon Chevron up icon
Ordering Things Chevron down icon Chevron up icon
Finding Stuff Chevron down icon Chevron up icon
Random and Combinatorial Chevron down icon Chevron up icon
Algorithms of the Standard Library Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.7
(3 Ratings)
5 star 33.3%
4 star 0%
3 star 0%
2 star 33.3%
1 star 33.3%
RICHARD Jun 09, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I really enjoyed this book for a lot of reasons. It's a great book for intermediate Rust developers looking to see more complex examples of the language with context most of us understand. I found a lot of the examples easy to follow because I already had a solid grasp of what datastructures there were, and was able to focus seeing how Rust was used for the implementation. This book does a great job at exploring the tradeoffs of various datastructures in a nicely ordered fashion without getting too lost in the weeds of computer science. This book does not deep dive into the Rust language, but rather shows you application of some of its very common features toward non-trivial structures.I found the author of this book very friendly in their writing and not dry at all. I see this as a great addition to any rustaceans library. I would love to see a book by the same author on gang of 4 design patterns.
Amazon Verified review Amazon
Anonymous Mar 29, 2020
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
Not at all clear. 75. Pages into this book, I can't see any value. The explanations require extensive use of third party resources to make sense of the source material. The section on Skip Lists was ultimately incomprehensible. I would believe someone finding value in the book. Just not me. Author tried at least.
Amazon Verified review Amazon
Customer Jan 02, 2021
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
The half of the book has nothing to do with the algorithms. The other half has some data structures but they are not tested, not fully implemented in Rust and taken out of context.You get code snippets that not really usable, not step-by-step walk through of the algorithms as well.
Amazon Verified review Amazon
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