tarball.tar.gz

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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

The basic in-memory repository we implemented for our project is enough to display the concept of the repository layer abstraction. It’s not enough to run a production system, so we need to implement a connection with a real storage system like a database. Whenever we use an external system and want to test the interface, we can use mock data. However, we eventually need to ensure that the two systems actually work together. This is when we need to create integration tests.

Let’s briefly learn about how to use PostgreSQL as a repository.

Overview of PostgreSQL

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

Overview of PostgreSQL