Week 1: Foundation + Fun
Get comfortable writing Python without fear
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Setup Checklist
Sunday (2 hrs)
Monday (1.5 hrs)
Tuesday (2 hrs)
Wednesday (1 hr)
Thursday (2 hrs)
Friday (1 hr)
Saturday (3 hrs)
Week 1 Reflection
Week 2: Data Structures for ML
Master lists, arrays, dictionaries
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Sunday (2 hrs)
Monday (1.5 hrs)
Tuesday (2 hrs)
Wednesday (1 hr)
Thursday (2 hrs)
Friday (1 hr)
Saturday (3 hrs)
Week 2 Reflection
Week 3: ML-Ready Python
Libraries you'll use in AI/ML class
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Sunday (2 hrs)
Monday (1.5 hrs)
Tuesday (2 hrs)
Wednesday (1 hr)
Thursday (2 hrs)
Friday (1 hr)
Saturday (3 hrs) - MINI PROJECT
Week 3 Reflection
Week 4: Error Comfort + ML Prep
Debug confidently, understand ML code
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Sunday (2 hrs) - CAPSTONE
Monday (1.5 hrs)
Tuesday (2 hrs)
Wednesday (1 hr)
Thursday (2 hrs)
Friday (1 hr)
Saturday (3 hrs) - MINI ML PROJECT
Week 4 Reflection
Final Success Metrics
Emergency Resources
When stuck on syntax:
• Paste into ChatGPT/Claude with "Explain this error simply"
• Check Copilot suggestions first
• Use Python Tutor visualizer: pythontutor.com
• Paste into ChatGPT/Claude with "Explain this error simply"
• Check Copilot suggestions first
• Use Python Tutor visualizer: pythontutor.com
When frustrated:
• Switch to gamified learning (CodeCombat/CheckiO)
• Take 10 min break, come back fresh
• Remember: AI assistants will help you in class
• Switch to gamified learning (CodeCombat/CheckiO)
• Take 10 min break, come back fresh
• Remember: AI assistants will help you in class
Quick reference sites:
• Python cheat sheet: pythoncheatsheet.org
• Pandas cheat sheet: pandas.pydata.org/cheatsheet
• NumPy visual guide: jalammar.github.io/visual-numpy
• Python cheat sheet: pythoncheatsheet.org
• Pandas cheat sheet: pandas.pydata.org/cheatsheet
• NumPy visual guide: jalammar.github.io/visual-numpy