- Integrated full performance analysis from ANALYSIS.md into README
- Added performance visualization section with plot references
- Included all performance metrics, tables, and analysis
- Added theoretical vs practical performance discussion
- Consolidated all documentation into single README file
- Created ANALYSIS.md with detailed performance metrics
- Analyzed execution time, memory usage, and operation counts
- Discussed discrepancies between theoretical and practical performance
- Explained Python-specific performance characteristics
- Updated README with link to analysis document
- Implement Merge Sort and Quick Sort algorithms with instrumentation
- Add Quick Sort pivot strategies: first, last, median_of_three, random
- Create dataset generators for 5 dataset types (sorted, reverse, random, nearly_sorted, duplicates_heavy)
- Build comprehensive benchmarking CLI with metrics collection
- Add performance measurement (time, memory, comparisons, swaps)
- Configure logging with rotating file handlers
- Generate plots for time and memory vs size
- Include comprehensive test suite with pytest
- Add full documentation in README.md
