Book Image

Speed Up Your Python with Rust

By : Maxwell Flitton
5 (2)
Book Image

Speed Up Your Python with Rust

5 (2)
By: Maxwell Flitton

Overview of this book

Python has made software development easier, but it falls short in several areas including memory management that lead to poor performance and security. Rust, on the other hand, provides memory safety without using a garbage collector, which means that with its low memory footprint, you can build high-performant and secure apps relatively easily. However, rewriting everything in Rust can be expensive and risky as there might not be package support in Rust for the problem being solved. This is where Python bindings and pip come in. This book will help you, as a Python developer, to start using Rust in your Python projects without having to manage a separate Rust server or application. Seeing as you'll already understand concepts like functions and loops, this book covers the quirks of Rust such as memory management to code Rust in a productive and structured manner. You'll explore the PyO3 crate to fuse Rust code with Python, learn how to package your fused Rust code in a pip package, and then deploy a Python Flask application in Docker that uses a private Rust pip module. Finally, you'll get to grips with advanced Rust binding topics such as inspecting Python objects and modules in Rust. By the end of this Rust book, you'll be able to develop safe and high-performant applications with better concurrency support.
Table of Contents (16 chapters)
1
Section 1: Getting to Understand Rust
5
Section 2: Fusing Rust with Python
11
Section 3: Infusing Rust into a Web Application

Building tests for our Rust package

Previously, in Chapter 4, Building pip Modules in Python, we built unit tests for our Python code. In this section, we will build unit tests for our Fibonacci functions. These tests do not need any extra packages or dependencies. We can use Cargo to manage our testing. This can be done by adding our testing code in the src/fib_calcs/fib_number.rs file. The steps are as follows:

  1. We do this by creating a module in the src/fib_calcs/fib_number.rs file with the following code:
    #[cfg(test)]
    mod fibonacci_number_tests {
          use super::fibonacci_number;
    }

    Here, we can see that we have defined a module in the same file and decorated the module with the #[cfg(test)] macro.

  2. We can also see that we must import the function, as it is super to the module. Inside this module, we can run standard tests that check to see whether the integers we pass in calculate the Fibonacci number we expect with the following code:
     ...