Introduction to NumPy and Advanced Computation

1. NumPy arrays and vectorized operations
2. Matrix operations for regression
3. MicroSim: Linear algebra visualization
4. Computational efficiency in data science
5. Broadcasting and array manipulation
6. Mathematical functions and statistics
7. Integration with pandas and matplotlib