Discover how to inject your code with highly performant Rust features to develop fast and memory-safe applications
Key Features
Learn to implement Rust in a Python system without altering the entire system
Write safe and efficient Rust code as a Python developer by understanding the essential features of Rust
Build Python extensions in Rust by using Python NumPy modules in your Rust code
Book DescriptionPython 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.
What you will learn
Explore the quirks of the Rust programming language that a Python developer needs to understand to code in Rust
Understand the trade-offs for multiprocessing and thread safety to write concurrent code
Build and manage a software project with cargo and crates
Fuse Rust code with Python so that Python can import and run Rust code
Deploy a Python Flask application in Docker that utilizes a private Rust pip module
Inspect and create your own Python objects in Rust
Who this book is forThis book is for Python developers who want to speed up their Python code with Rust and implement Rust in a Python system without altering the entire system. You'll be able to learn about all topics relating to Rust programming. Basic knowledge of Python is required to get the most out of this book.
Sprache
Verlagsort
Zielgruppe
Maße
Höhe: 235 mm
Breite: 191 mm
Dicke: 21 mm
Gewicht
ISBN-13
978-1-80181-144-6 (9781801811446)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Maxwell Flitton is a software engineer who works for the open source financial loss modeling foundation OasisLMF. In 2011, Maxwell achieved his Bachelor of Science degree in nursing from the University of Lincoln, UK. While working 12-hour shift s in the A&E departments of hospitals, Maxwell obtained another degree in physics from the Open University in the UK and then moved on to another milestone, with a postgraduate diploma in physics and engineering in medicine from UCL in London. He's worked on numerous projects such as medical simulation soft ware for the German government and supervising computational medicine students at Imperial College London. He also has experience in financial tech and Monolith AI.
Table of Contents
An Introduction to Rust
Structuring Code in Rust
Concurrency in Rust
Building Private pip Modules in Python
Creating a Rust Interface for Your pip Module
Working with Python Objects in Rust
Using Python Modules in Rust
Structuring an End-to-End Python Module in Rust
Structuring a Python Flask App for Rust
Injecting Rust into a Python Flask App
Best Practices
