I've created a comprehensive README.md for the Algorithm-Interview-Prep repository. The document includes:
Key Sections:
- Overview with CTCI context and optimization focus
- Problem Categories organized by data structures and techniques
- Getting Started with prerequisites and usage instructions
- Complexity Analysis reference table with Big-O notations
- Problems by Chapter mapped to actual files with time/space complexity
- Technical Deep Dive analyzing 6 key implementations:
- In-place algorithms (16-1.py)
- Linked list recursion (10-1.py)
- File I/O optimization (12-1.cpp)
- Hash set vs bit vector (1-1.py)
- Brute force vs optimized approaches (16-10.py)
- Constant-time bit operations
- Design Patterns table for common interview techniques
- TODO with prioritized improvement roadmap
- Complexity Reference Table for data structures
The markdown uses professional formatting with tables, code blocks, and clear hierarchical structure suitable for technical interview preparation.