Why NumPy?
NumPy is the foundation of Python's scientific computing stack. Every ML framework — PyTorch, TensorFlow, Scikit-learn — builds on NumPy arrays. Understanding NumPy is non-negotiable for AI engineering.
Vectorization
Vectorized operations process entire arrays at once instead of looping element by element. This is 10-100x faster than Python loops and is the standard pattern in AI code.
Rule of thumb: if you're writing a for-loop over array elements in AI code, there's probably a NumPy vectorized operation that does it faster.
Key Takeaway
NumPy arrays + vectorized operations are the performance foundation of all AI computation in Python.