10c9e0d854
Complete restructure from patterns/examples/reference to technology-focused directories: • Created technology-specific directories with comprehensive documentation: - /tdarr/ - Transcoding automation with gaming-aware scheduling - /docker/ - Container management with GPU acceleration patterns - /vm-management/ - Virtual machine automation and cloud-init - /networking/ - SSH infrastructure, reverse proxy, and security - /monitoring/ - System health checks and Discord notifications - /databases/ - Database patterns and troubleshooting - /development/ - Programming language patterns (bash, nodejs, python, vuejs) • Enhanced CLAUDE.md with intelligent context loading: - Technology-first loading rules for automatic context provision - Troubleshooting keyword triggers for emergency scenarios - Documentation maintenance protocols with automated reminders - Context window management for optimal documentation updates • Preserved valuable content from .claude/tmp/: - SSH security improvements and server inventory - Tdarr CIFS troubleshooting and Docker iptables solutions - Operational scripts with proper technology classification • Benefits achieved: - Self-contained technology directories with complete context - Automatic loading of relevant documentation based on keywords - Emergency-ready troubleshooting with comprehensive guides - Scalable structure for future technology additions - Eliminated context bloat through targeted loading 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
33 lines
1005 B
Markdown
33 lines
1005 B
Markdown
# Python Patterns
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## Project Structure
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- Use virtual environments (venv)
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- Implement proper package structure with `__init__.py`
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- Separate configuration from code
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- Use requirements.txt for dependencies
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## Code Organization
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- **MVC/MVT patterns** for web applications
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- **Factory pattern** for object creation
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- **Context managers** for resource handling
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- **Async/await** for I/O-bound operations
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## Error Handling
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- Use specific exception types
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- Implement proper logging with levels
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- Graceful degradation for external dependencies
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- Validation at API boundaries
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## Performance Considerations
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- Use generators for large datasets
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- Profile before optimizing
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- Leverage caching appropriately
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- Consider async for concurrent operations
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## Related Documentation
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- Examples: `/examples/python/web-frameworks.md`
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- Examples: `/examples/python/api-clients.md`
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- Examples: `/examples/python/async-patterns.md`
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- Reference: `/reference/python/debugging.md`
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- Reference: `/reference/python/performance.md`
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