Book Image

Creative Projects for Rust Programmers

By : Carlo Milanesi
3 (1)
Book Image

Creative Projects for Rust Programmers

3 (1)
By: Carlo Milanesi

Overview of this book

Rust is a community-built language that solves pain points present in many other languages, thus improving performance and safety. In this book, you will explore the latest features of Rust by building robust applications across different domains and platforms. The book gets you up and running with high-quality open source libraries and frameworks available in the Rust ecosystem that can help you to develop efficient applications with Rust. You'll learn how to build projects in domains such as data access, RESTful web services, web applications, 2D games for web and desktop, interpreters and compilers, emulators, and Linux Kernel modules. For each of these application types, you'll use frameworks such as Actix, Tera, Yew, Quicksilver, ggez, and nom. This book will not only help you to build on your knowledge of Rust but also help you to choose an appropriate framework for building your project. By the end of this Rust book, you will have learned how to build fast and safe applications with Rust and have the real-world experience you need to advance in your career.
Table of Contents (14 chapters)

The nom_byte_machine project

Now that we have a new machine language, we can write some programs using it and try to build an interpreter for these programs. In addition, it is possible to use the nom library, already seen in Chapter 8, Using a Parser Combinator for Interpreting and Compiling, to ease the building of this sort of interpreter.

However, before we start coding, let's consider the possible techniques to execute a machine language program. In fact, there are at least three possible ways to execute a machine language program without having real hardware:

  • Technique 1: Interpreting it just as the hardware would interpret it. This is the technique used in the previous sections to interpret the sieve of Eratosthenes program in the word_machine_sieve project.
  • Technique 2: First, parsing it all and transforming it into a high-level data structure, then interpreting this data structure.
  • Technique 3: Translating it into another programming language, and then using an interpreter...