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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

Description

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.

Who is this book for?

This 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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

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Wei Ji Leong Jan 25, 2024

The book has been really good for picking up Rust from a Pythonista perspective. It does a comprehensive job at walking through setups for those that might not have done Python package management before, but it may be good still to come with some experience to pick things up quicker. Overall, would recommend!

Feefo Verified review

Imre Beke Feb 06, 2024

Szeretném a Python környezetben nagy adatállományok feldolgozását gyorsítani, minden olyan eszköz lehetőség ami ebben lehetőséget rejt az érdekel és ki szeretném próbálni.

Feefo Verified review

engineering_guy Feb 07, 2022

A great one-stop shop for people looking to transfer their understanding and knowledge of Python to Rust. It is not only an introduction to Rust with an explanation of how to structure the code but also a ready solution for structuring a Python Flask App for Rust. My favourite chapter is the last one which delves into the best practices of the integration of those two technologies.This book is a must-have as a Python developer, to start using Rust in your Python projects without having to manage a separate Rust server or application. Rust with its low memory footprint will help you overcome memory management issues that lead to poor performance and security in your applications.

Amazon Verified review

Happy Vine Reviewer Feb 09, 2022

I like this book more than I expected I would.When I read through the TOC, I was halfway expecting an in-depth treatment of both Python and Rust. There wasn't any in-depth treatment of either -- but the author carefully explained that up front. The purpose of the book was to explain how to use Rust and Python together, and the author did a good job of that. A real in-depth treatment would have taken 1000+ pages instead of 351.If you are unfamiliar with either Python or Rust, you should probably read a book on each of those first -- and try some programming in each. I am familiar with Python, but not so much with Rust, so I was thinking I could just skim the Python parts. I was wrong there, too. I ended up learning a substantial amount about the inner workings and management of Python (and pip, and GitHub, too).This is one of those books that I will need to read more than once, and I will also need to come more up to speed on Rust. The author, Maxwell Flitton, provided a lot of "further reading" recommendations which I plan to pursue.Mr. Flitton did a fairly good job of convincing me that Rust is something worth learning, although I expect to benefit just from my improved understanding of pip, Docker, and other Python topics.Flaws... well, the flaws were minor, and not enough to ding the rating over. The only real irritation to me was that there were some typos (occasionally losing a space between words), and a few awkward sentences that made me re-read some sections more than once before I finally figured out what was being said. Those are minor editing problems (pretty much unavoidable when trying to get a book out in a timely manner), and when I do my subsequent read of the book, I will be submitting the errata to the link provided by Packt.

Amazon Verified review

Jagannath Banerjee Feb 21, 2022

As a Python programmer, this book widens my view of using Python and Rust complementing each other in today's technology landscape where Python is easy to learn, code and maintain , Rust is fast, memory-safe, can handle multiprocessing and multithreading and easy to setup, compile and deploy.Author has explained the integration of both the languages in great details by explained the concepts of efficient compilation, lifetimes and borrowing, cargo, multiprocessing and multithreading, installing pip modules and integrating with rust.What stood out for me is the simplicity of approach and the depth at which the book was written. Author explained concepts with code and proper implementations. I had to read the chapters a few times to understand the concepts. I tried a few of the implementations and it works perfectly.I would definitely recommend this book to advance Python users to widen their view of integrating their code with Rust to bring the best of both the programming languages.

Amazon Verified review

Speed Up Your Python with Rust: Optimize Python performance by creating Python pip modules in Rust with PyO3

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