Efficient numerical computations with numpy.ones streamline operations like matrix addition, iterative algorithms, and masking. By broadcasting ones arrays, users can enhance code readability and maintainability while optimizing performance through vectorized operations. Ideal for data processing, these strategies significantly improve computational speed and efficiency.