Hands-On Systems Programming with Rust

Hands-On Systems Programming with Rust, available at $59.99, has an average rating of 4.35, with 26 lectures, 5 quizzes, based on 248 reviews, and has 1690 subscribers.

You will learn about Explore Rusts package registry for discovering and sharing code Use multithreading to unlock the power of multiple cores Get to know data-flow rate and speed through a pipeline Display time-based statistics using stderr Build your own middleware project to control the flow of data between two processes Best practices and techniques to set up your project for success Test and publish your own project on crates .io This course is ideal for individuals who are If you are already a software developer and want to learn systems programming in Rust practically and quickly, this course is for you! or This course will greatly appeal to intermediate Linux and general Unix programmers, network programmers, and C / C++ programmers interested in learning different approaches to concurrency. It is particularly useful for If you are already a software developer and want to learn systems programming in Rust practically and quickly, this course is for you! or This course will greatly appeal to intermediate Linux and general Unix programmers, network programmers, and C / C++ programmers interested in learning different approaches to concurrency.

Enroll now: Hands-On Systems Programming with Rust

Summary

Title: Hands-On Systems Programming with Rust

Price: $59.99

Average Rating: 4.35

Number of Lectures: 26

Number of Quizzes: 5

Number of Published Lectures: 26

Number of Published Quizzes: 5

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 31

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Explore Rusts package registry for discovering and sharing code

Use multithreading to unlock the power of multiple cores

Get to know data-flow rate and speed through a pipeline

Display time-based statistics using stderr

Build your own middleware project to control the flow of data between two processes

Best practices and techniques to set up your project for success

Test and publish your own project on crates .io

Who Should Attend

If you are already a software developer and want to learn systems programming in Rust practically and quickly, this course is for you!

This course will greatly appeal to intermediate Linux and general Unix programmers, network programmers, and C / C++ programmers interested in learning different approaches to concurrency.

Target Audiences

If you are already a software developer and want to learn systems programming in Rust practically and quickly, this course is for you!

This course will greatly appeal to intermediate Linux and general Unix programmers, network programmers, and C / C++ programmers interested in learning different approaches to concurrency.

Scripting languages will provide safety, but not concurrency and speed, while traditional systems programming languages such as C and C++ will definitely give you speed and some concurrency, but forget about safety! If you need safety, concurrency, and speed, then Rust is the only viable option.

In this course, you will learn how Rust guarantees memory and thread safety at compile-time, yet uses zero-cost abstractions without the runtime overhead of a garbage collector. You’ll learn how to monitor the flow of data through a pipeline by building your own middleware utility. You’ll learn how to utilize I/O to interact with the command line, work with standard library mpsc channels to perform data flows, and create an ergonomic timer for your project. You’ll apply key concepts in every section while creating your own middleware tool in Rust along the way.

By the end of this practical course, you will feel comfortable designing safe, consistent, parallel, and high-performance applications in Rust using systems programming.

This course should appeal to intermediate Linux and general Unix programmers, network programmers, and C/C++ programmers interested in learning different approaches to concurrency. Prior knowledge of basic programming concepts is required, and a working knowledge of Rust is assumed.

About the Author

Nathan Stocks has spent the last 20 years working in software development, mostly in the field of backend infrastructure. He fell in love with Rust in 2016 and began teaching it in 2017. For the past several years, he has focused on systems-level programming. He maintained the AVbin audio library (written in C) from 2011-2013. He has had tons of fun learning, using, and teaching Rust at conferences and online. He also loves Python and PostgreSQL, and still occasionally suffers from nightmares about C and C++.

He currently works at GitHub, managing the Git Storage team, and spends his nights in pursuit of someday creating a successful indie game in Rust.

Course Curriculum

Chapter 1: Preparing for Systems Programming with Rust

Lecture 1: The Course Overview

Lecture 2: Systems Programming in Rust

Lecture 3: Configuring Your Editor/IDE

Lecture 4: The Many Faces of Cargo

Lecture 5: Preview Finished Project

Lecture 6: Layout the Skeleton of the Project

Chapter 2: Operating with I/O

Lecture 1: Read from stdin, Count Bytes, and Write to stdout

Lecture 2: Inspecting Values with dbg!()

Lecture 3: Working Effectively with cargo fmt and cargo clippy

Lecture 4: Handling Errors Gracefully

Lecture 5: Handling Command Line Arguments with Clap

Lecture 6: Reading/Writing Files, Buffered I/O, and Traits

Chapter 3: Applying Multithreading Features to Your Project

Lecture 1: Working Effectively with Organized Library Modules

Lecture 2: Separate Input, Statistics, and Output Threads

Lecture 3: Operating with MPSC Channels for Data Flow in Sequence

Lecture 4: Refactor Code to Use Crossbeam Channels

Chapter 4: Dealing with Time and Terminal

Lecture 1: Working with Instant

Lecture 2: Calculate a Delta Time Using Instants

Lecture 3: Use Durations to Create an Ergonomic Timer Struct

Lecture 4: Using Timer and Output Progress Statistics at a Steady Rate

Lecture 5: Applying Crossterm and Colorizing the Output

Chapter 5: Systems Programming in Rust: Best Practices

Lecture 1: Creating a Library and Organizing it into Modules

Lecture 2: Writing and Running Tests on Your Code

Lecture 3: Documenting Your Code

Lecture 4: Understanding the Ins and Outs of Semantic Versioning

Lecture 5: Publishing Your Project as a Crate on crates.io

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 0 votes

2 stars: 4 votes

3 stars: 18 votes

4 stars: 92 votes

5 stars: 134 votes

Frequently Asked Questions

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