Workshop Overview

Lets dive into these workshops! Each workshop will take

Learning Objectives

By the end of these workshops, you'll be able to:

• Manage Python dependencies professionally
• Package your code for easy distribution and reuse
• Create comprehensive documentation that your users will love
• Set up automated quality checks and deployment pipelines
• Apply RAP principles to your data science projects

Workshop Path

Core Workshops (Live Session)

Complete these workshops in order during the live session:

Dependency Management

• Master modern Python package management with uv
• Organize dependencies by purpose (production, development, docs)
• Create reproducible environments

Packaging with pyproject.toml

• Configure project metadata and dependencies
• Make your code installable and reusable
• Follow modern Python packaging standards

Documentation with MkDocs

• Create professional documentation websites
• Automatically generate API documentation
• Deploy documentation to GitHub Pages

Bonus Workshops (Self-Paced)

Explore these advanced topics at your own pace:

Cookiecutter Templates

• Create reusable project templates
• Standardise team workflows
• Rapid project scaffolding

Pre-Commit Hooks

• Automate code quality checks
• Prevent common mistakes
• Enforce coding standards

CI/CD with GitHub Actions

• Automate testing and deployment
• Build and publish packages
• Continuous integration best practices

Getting Help

During the workshops:

• Ask questions - Don't hesitate to ask for clarification
• Discussion time - Share your experiences and learn from others
• Stuck on something? - The facilitators are here to help

Outside of the workshops, don't hesitate to open an issue in the repository if you encounter any problems or have suggestions for improvement.