Chapter 9: Structuring a Python Flask App for Rust
In the previous chapter, we managed to solve a real-world problem with Rust. However, we also learned an important lesson, that is, the good implementation of code, such as adding vectors or merging dataframes, along with third-party modules, such as NumPy, can outperform badly implemented self-coded Rust solutions. However, we know that comparing implementation to implementation, Rust is a lot faster than Python. We already understand how to fuse Rust with a standard Python script. However, Python is used for more than just running scripts. A popular use for Python is in web applications.
In this chapter, we will build a Flask web application with NGINX, a database, and a message bus implemented by the Celery package. This message bus will allow our application to process heavy tasks in the background while we return a web HTTP request. The web application and message bus will be wrapped in Docker containers and deployed to docker...
