Book Image

The Complete Rust Programming Reference Guide

By : Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger
Book Image

The Complete Rust Programming Reference Guide

By: Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger

Overview of this book

Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs. You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code. This Learning Path includes content from the following Packt products: • Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta • Hands-On Data Structures and Algorithms with Rust by Claus Matzinger
Table of Contents (29 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

Creating native Python extensions with PyO3


In this section, we'll see how Python can also call Rust code. The Python community has always been a heavy user of native modules such as numpy, lxml, opencv, and so on, and most of them have their underlying implementations in either C or C++. Having Rust as an alternative to native C/C++ modules is a major advantage both in terms of speed and safety for a lot of Python projects out there. For the demo, we'll build a native Python module that's implemented in Rust. We'll be using pyo3, a popular project that provides Rust bindings for the Python interpreter and hides all the low-level details, thus providing a very intuitive API. The project is on GitHub at https://github.com/PyO3/pyo3. It supports both Python 2 and Python 3 versions. pyo3 is a fast-moving target and only works on nightly at the time of writing this book. So, we'll use a specific version of pyo3, that is, 0.4.1, along with a specific nightly version of the Rust compiler.

Let's...