Using AI Tools to Generate Python

Introduction

• Introduce the tools and their roles.
• Prepare participants’ environment.

Tools Introduced & Installed

• GitHub Copilot in VS Code (inline code suggestions).
• M365 Copilot (for planning, documentation, explaining code).
• ChatGPT-style assistant (for generating examples, experimenting with prompts).

Python Basics With AI Support

• Understand basic Python syntax.
• Use AI to generate simple scripts.

Prompting Skills for Coding

• Effective prompting styles for coding.
• When to use each tool.

 

 

We look at:

• ChatGPT – Brainstorm ideas: “List 10 simple Python programs suitable for beginners.”
• M365 Copilot – Organise ideas into a project plan or outline.
• GitHub Copilot – Generate functions or code blocks inside VS Code.

 

Working With Data in Python Using AI

• Lists, dictionaries, loops.
• Reading/writing files.

 

Tools in Action

• ChatGPT – Ask: “Generate a sample CSV file with 10 rows for testing.”
• M365 Copilot (Excel) – Use Copilot to quickly generate or modify a CSV dataset.
• GitHub Copilot – In VS Code, write comments like: # Read a CSV file and count the number of rows → Copilot writes the code.

 

Mini Project: Build a Simple App With Three AI Tools

Participants Choose One Project

• Guess-the-number game
• To-do list app (command line)
• Simple calculator

 

How to Use the AI Tools Together

ChatGPT Writing prompts

• Get pseudocode or a feature list.

 

M365 Copilot (Notes & Documentation)

• Convert plan → readable project specification.

 

Step 3 – GitHub Copilot

• Write comments for each function.
• Let Copilot generate the code.
• Add features such as input validation or menus.

Step 4 – ChatGPT (Debugging & Explanation)

• Paste error messages.
• Ask for improvement ideas.

M365 Copilot

• Generate final documentation or a short project summary.