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

Hands-On Data Structures and Algorithms in Rust: Learn about the most common and useful data structures and algorithms and implement them in Rust

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Profile Icon Matthew Stoodley
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€18.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5 (2 Ratings)
Video May 2020 6hrs 55mins 1st Edition
Video
€103.99
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Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Matthew Stoodley
Arrow right icon
€18.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5 (2 Ratings)
Video May 2020 6hrs 55mins 1st Edition
Video
€103.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€103.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • Get familiar with Rust as a powerful and fast language that encourages good design
  • Focus on practical programming needs, learning effective solutions to problems that programmers often face
  • Learn techniques for building data-oriented code and handling relationships between different kinds of data

Description

Rust is a modern systems programming language designed with safety to simplify the development of large, complex software projects. Data structure and Algorithms are key to help in the collection and organization of the data for performing operations on the data and set instructions/logic to accomplish tasks in these projects. This course will be your guide for implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. You will begin with a primer to Rust and its syntax. You will then explore the language of Time and Memory complexity by comparing different sorting methods. You’ll then learn about Lists and Binary Trees, implement them, and compare them, to show the advantages and use cases of each. Next, you will cover different algorithms in-depth such as sorting, graph, dynamic programming, greedy, divide and conquer, and more. You will learn how counterintuitive techniques can actually make it easier to build scalable projects! By the end of the course, you will have a sound knowledge of the key data structures and algorithms in Rust to confidently implement them in your applications. The Github link to this video course is: https://github.com/PacktPublishing/Hands-On-Data-Structures-and-Algorithms-in-Rust

Who is this book for?

This course is for programmers who want to get to grips with all data structures and algorithms in the latest version of Rust programming language, to help organize your code better and accomplish predefined tasks. No Rust programming knowledge is required as we will be covering the basics at the beginning.

What you will learn

  • How Rust can help you keep your memory access safe and effective
  • How we can use Rust to build Generic Algorithms that we can use again and again across our codebase
  • Greedy, dynamic, and Iterative algorithms and when to use them
  • Different data structures such as Maps, Trees, and Linked lists, and when it is appropriate to use them.
  • Why and how an Entity Component System separates the different parts of the object into different storage areas
  • How we can build files that work like simple databases using BTrees
  • How we can run our programs even faster-using Multithreading

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 26, 2020
Length: 6hrs 55mins
Edition : 1st
Language : English
ISBN-13 : 9781839211942
Category :
Languages :

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Product Details

Publication date : May 26, 2020
Length: 6hrs 55mins
Edition : 1st
Language : English
ISBN-13 : 9781839211942
Category :
Languages :

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Table of Contents

7 Chapters
Getting to Grips with Rust and its Syntax Chevron down icon Chevron up icon
Algorithm Complexity and Sorting Algorithms Chevron down icon Chevron up icon
Building Linked Lists and Binary Trees Chevron down icon Chevron up icon
Model Real Situations as Graphs of Connected Nodes Chevron down icon Chevron up icon
Getting Constant Time Data Access Using HashMap Chevron down icon Chevron up icon
Organizing Your Data by Type with Entity Component Systems Chevron down icon Chevron up icon
Persistent Storage Data Structure Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5
(2 Ratings)
5 star 0%
4 star 50%
3 star 50%
2 star 0%
1 star 0%
Nori Jan 18, 2021
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Pros: Nice bit-by-bit explanation. Cons: Answers to the challenge problems like pop methods implementation for linked lists, which is crucial, cannot be found in the GitHub repo. Cannot say the content is visually rich (so far only codes) so beginners to DSA would need compelments.
Feefo Verified review Feefo
Dejan Stevanovic Jun 20, 2022
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
The presenter goes too fast through the content.
Feefo Verified review Feefo
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