MLOps - Python Practices Course

1. Course Description 📚

This repository contains exercises related to the course on Python best practices, tools and workflows for MLOps.

The main goal here is to start from src/main.py and refactor it to a more maintainable and scalable codebase.

Some details about the codebase: a resnet model is loaded and used to make predictions on a sample image. The label list is available here: https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a.

2. Installation

First, you can fork the repository to your own GitHub account. Then, you can clone the repository to your local machine:

git clone https://github.com/<your-github>/mlops-course-python-best-practice.git

Installing the dependencies depends on the choices you make. You can either use venv, conda, poetry or uv.

3. Usage

If you wish to start the application, without any changes, you can run the following command:

python src/main.py

Then it's up to you to refactor the codebase and make it more maintainable and scalable. You can apply the following tools :

• ruff or black for code formatting
• mypy for static type checking
• .pre-commit for pre-commit hooks
• ruff for linting
• Add some tests with pytest
• Compute the coverage with pytest-cov
• Add some documentation