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Practical System Programming for Rust Developers

Practical System Programming for Rust Developers

By : Eshwarla
4.6 (5)
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Practical System Programming for Rust Developers

Practical System Programming for Rust Developers

4.6 (5)
By: Eshwarla

Overview of this book

Modern programming languages such as Python, JavaScript, and Java have become increasingly accepted for application-level programming, but for systems programming, C and C++ are predominantly used due to the need for low-level control of system resources. Rust promises the best of both worlds: the type safety of Java, and the speed and expressiveness of C++, while also including memory safety without a garbage collector. This book is a comprehensive introduction if you’re new to Rust and systems programming and are looking to build reliable and efficient systems software without C or C++. The book takes a unique approach by starting each topic with Linux kernel concepts and APIs relevant to that topic. You’ll also explore how system resources can be controlled from Rust. As you progress, you’ll delve into advanced topics. You’ll cover network programming, focusing on aspects such as working with low-level network primitives and protocols in Rust, before going on to learn how to use and compile Rust with WebAssembly. Later chapters will take you through practical code examples and projects to help you build on your knowledge. By the end of this Rust programming book, you will be equipped with practical skills to write systems software tools, libraries, and utilities in Rust.
Table of Contents (17 chapters)
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1
Section 1: Getting Started with System Programming in Rust
6
Section 2: Managing and Controlling System Resources in Rust
12
Section 3: Advanced Topics

Chapter 9: Managing Concurrency

Concurrent systems are all around us. When you download a file, listen to streaming music, initiate a text chat with a friend, and print something in the background on your computer, all at the same time, you are experiencing the magic of concurrency in action. The operating system manages all these for you in the background, scheduling tasks across available processors (CPUs).

But do you know how to write a program that can do multiple things at the same time? More importantly, do you know how to do it in a way that is both memory- and thread-safe, while ensuring optimal use of system resources? Concurrent programming is one way to achieve this. But concurrent programming is considered to be a difficult topic in most programming languages due to challenges in synchronizing tasks and sharing data safely across multiple threads of execution. In this chapter, you'll learn about the basics of concurrency in Rust and how Rust makes it easier to prevent...

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