college-cs-python

What problem does it solve?

It turns Python learning from passive tutorial consumption into active comprehension, small deliverables, and iterative debugging feedback that helps learners retain and apply syntax correctly.

Core Features & Use Cases

• Project-driven learning path: Guides users to complete a checkable mini-project that directly maps to today’s concept.
• Debugging + refactoring loop: Uses run feedback and error localization to help learners fix issues and improve code structure.
• Concrete learning outputs: Produces a session result (goal, concepts, task, code skeleton, debugging checklist, and next-step challenge) suitable for portfolio-style follow-up.

Quick Start

Tell the assistant: “I’m a beginner with basic coding exposure, I have 40 minutes per day, and I want to build a small automation/data mini-project in Python—help me plan today’s concept and generate a mini-task with a code skeleton and a debugging checklist.”