Work-in-progress and exploratory analyses not yet ready for public release.
Complete Python learning system — foundations to AI. All pathways interconnected.
PEP 8, clean code principles, Python idioms, and the tools that enforce them.
SOLID principles, composition over inheritance, and real-world refactoring walkthroughs.
Clean pipelines, reproducibility, visualisation standards, and a code review checklist.
Preventing data leakage, evaluation strategies, and deployment checklists.
Security, cost management, reliability patterns, and RAG best practices for LLMs.
Quick reference for all 5 pathways and 25 interactive practice questions.
Moving beyond p-values to probability distributions and credible intervals.