Chapter 5: NumPy Mastery

Learning Objectives

• Explain ndarray memory layout (strides, dtype, contiguity) and its performance implications
• Use advanced indexing (fancy, boolean, multi-dimensional) for efficient data extraction
• Apply broadcasting rules to eliminate explicit loops in scientific computations
• Vectorize operations achieving 10-100x speedup over equivalent Python loops
• Generate reproducible random numbers using NumPy's Generator API