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

## Updating the CLI file

At this point, fixing the CLI is extremely simple. We need to imitate what we did for the HTTP server, only without considering the filters because they weren’t part of the command-line tool.

# Updating the CLI file

At this point, fixing the CLI is extremely simple. We need to imitate what we did for the HTTP server, only without considering the filters because they weren’t part of the command-line tool.

Let’s learn the usage of the command-line interface in clean architecture.


The CLI

Let’s learn the usage of the command-line interface in clean architecture.

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

The CLI

Updating the CLI file