MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

May 26, 2020 | ISBN: 9781839211942 | English

Duration: 49 Lessons (6h 55m) | Size: 1.5 GB

Learn about common and useful Data Structures and Algorithms

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

About

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:

Features

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