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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...

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.

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

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Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

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Customer Jan 02, 2021

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

Anonymous Mar 29, 2020

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.

RICHARD Jun 09, 2019

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.

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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Hands-On Data Structures and Algorithms with Rust

Cargo and Crates

Cargo

Crates

Rust libraries and binaries

Static and dynamic libraries

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

What do you get with Print?

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What you will learn

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