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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.

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