Gain insights into clean architecture using Python. Delve into layered systems, design efficient applications, and integrate web components, error handling, and databases with test-driven development practices.

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Python Execution

Flask

Flask + Postgres

Python Test

Clean architecture is a software design methodology that separates the processes of an application into discrete steps instead of presenting them as “spaghetti code.” With the versatility of Python, software engineers can build performant, modular applications quickly using the Flask framework.

This course will help you build better applications using the principles of clean architecture. You’ll start with an introduction to data flow in clean systems and learn about the advantages of layered architectures. Next, you’ll learn system components and the connections between application layers. You’ll then design and build a clean system using Python by layering components in guided coding exercises. Finally, you’ll learn how to add functional components for the web, handle errors, and work with external databases using both Postgres and MongoDB. At each step, you’ll use test-driven development practices to ensure robust functionality.

Clean Architecture in Python

# Installation process

Before moving forward, we’ll need to install some required tools. To do this, let’s use the file `requirements.txt`, which calls files from the `requirements` directory. The files in `requirements` directory are as follows:

* The `dev.txt` file contains all the required tools (`pip`, `punch.py`, `wheel`, `watchdog`, `flake8`, `Sphinx`) necessary for development.
* The `prod.txt` file contains all the required tools for production.
* The `test.txt` file  contains all the required tools (`tox`, `coverage`, `pytest`, `pytest-cov`) necessary for testing.
 
These files will continue to be updated in the course as the need for new tools arises.

Let's learn about the installation process.

Get Started

A Day in the Life of a Clean System

Components of Clean Architecture

A Simple Coding Example

Add a Web Application

Error Management

Integration with a Real External System Postgres

Integration with a Real External System MongoDB

Run a Production-ready System

Appendix

Project Setup

Installation process