- Added environment validation with dependency checking
- Implemented performance benchmarking for CPU and memory
- Created development environment setup with Git/Jupyter checks
- Built comprehensive system reporting with health scoring
- Maintained educational patterns and inline testing
- Added professional ML systems configuration practices
All functions work correctly with proper error handling and testing.
- Added detailed ML systems context and architecture overview
- Enhanced conceptual foundations for system configuration
- Improved personal info section with professional development context
- Expanded system info section with hardware-aware ML concepts
- Added comprehensive testing explanations
- Connected to real-world ML frameworks and practices
- Improved learning scaffolding and step-by-step guidance
- Remove unnecessary module_paths.txt file for cleaner architecture
- Update export command to discover modules dynamically from modules/source/
- Simplify nbdev command to support --all and module-specific exports
- Use single source of truth: nbdev settings.ini for module paths
- Clean up import structure in setup module for proper nbdev export
- Maintain clean separation between module discovery and export logic
This implements a proper software engineering approach with:
- Single source of truth (settings.ini)
- Dynamic discovery (no hardcoded paths)
- Clean CLI interface (tito package nbdev --export [--all|module])
- Robust error handling with helpful feedback
