Conclusion

Array computation is shape-aware numerical programming.

You learned elementwise operations, axis reductions, broadcasting, vectorized code, matrix-vector products, matrix-matrix products, and shape mismatch debugging.

The core habit is:

predict the shape before running the operation

For example:

Shape equation:

(3, 2) @ (2, 2) + (2,) -> (3, 2)

That is the kind of reasoning used in neural network layers.

What comes next

The next chapter introduces plotting and inspection.

Arrays often need visual checks: a curve, a scatter plot, a histogram, or a small image-like grid. Plotting is not decoration. It is a way to inspect whether numerical data behaves as expected.