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Speed Up Your Python with Rust

You're reading from  Speed Up Your Python with Rust

Product type Book
Published in Jan 2022
Publisher Packt
ISBN-13 9781801811446
Pages 384 pages
Edition 1st Edition
Languages
Author (1):
Maxwell Flitton Maxwell Flitton
Profile icon Maxwell Flitton
Toc

Table of Contents (16) Chapters close

Preface 1. Section 1: Getting to Understand Rust
2. Chapter 1: An Introduction to Rust from a Python Perspective 3. Chapter 2: Structuring Code in Rust 4. Chapter 3: Understanding Concurrency 5. Section 2: Fusing Rust with Python
6. Chapter 4: Building pip Modules in Python 7. Chapter 5: Creating a Rust Interface for Our pip Module 8. Chapter 6: Working with Python Objects in Rust 9. Chapter 7: Using Python Modules with Rust 10. Chapter 8: Structuring an End-to-End Python Package in Rust 11. Section 3: Infusing Rust into a Web Application
12. Chapter 9: Structuring a Python Flask App for Rust 13. Chapter 10: Injecting Rust into a Python Flask App 14. Chapter 11: Best Practices for Integrating Rust 15. Other Books You May Enjoy

Building a message bus

For this section, we will be using the Celery and Redis packages to build and run our message bus. Once we have completed this section, our mechanism will take a form that is similar to the following:

Figure 9.6 – A message bus with Flask and Celery

As shown in the preceding diagram, we have two processes running. One is running our Flask application, while the other is running Celery, which handles queuing and processing tasks. To make this work, we are going to perform the following steps:

  1. Build a Celery broker for Flask.
  2. Build a Fibonacci calculation task for Celery.
  3. Update our calculation view with Celery.
  4. Define our Celery service in Docker.

Before we embark on these steps, we have to install the following packages using pip:

  • Celery: This is the message bus broker that we are going to use.
  • Redis: This is the storage system that Celery is going to use.

Now that we have installed...

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