Master the "80% plumbing" of AI Engineering. Before touching neural networks or LLMs, I am building the foundational Python skills required to handle messy data, build modular pipelines, and manage production-grade scripts.
- Day 1: Data Sanitization (Variables, Casting, String Cleaning) β
- Day 2: Text Feature Extraction (Functions, Scope, Returns) π
- Day 3: Log Scanning & Logic (Control Flow, Loops)
- Day 4: Dataset Inventory (Lists, Dictionaries, Tuples)
- Day 5: CSV/JSON Summarizer (File I/O)
- Day 6: Simple Agent Blueprint (OOP & Classes)
- Day 7: Robust Error Handling (Try/Except, Logging)
- Language: Python 3.x
- Knowledge Management: Obsidian
- Version Control: Git/GitHub
Follow my journey on X: [INSERT YOUR X HANDLE HERE]