Create interactive algorithm learning notebooks

Develop a set of interactive Jupyter notebooks for learning algorithms:

## Notebook series:
- Introduction to algorithm analysis
- Sorting algorithms
- Searching algorithms
- Data structures fundamentals
- Graph algorithms
- Dynamic programming
- Greedy algorithms
- Divide and conquer

## Features for each notebook:
- Theoretical explanation
- Visual algorithm representation
- Step-by-step execution
- Interactive examples
- Hands-on exercises
- Implementation challenges
- Performance analysis

## Interactive elements:
- Code execution cells
- Algorithm visualization widgets
- Parameter adjustment sliders
- Custom input testing
- Performance benchmarking

## Educational approach:
- Scaffold from basic to advanced concepts
- Compare multiple solution approaches
- Highlight common patterns and techniques
- Connect algorithms to real-world applications

These interactive notebooks will provide a hands-on learning experience for algorithms, allowing users to experiment with implementations, visualize execution, and build intuition about algorithm behavior.