What are some tips to improve performance in NumPy?

What are some tips to improve performance in NumPy?

To improve performance in NumPy, consider using vectorized operations instead of loops, as they are much faster.

Can you explain what vectorized operations are?

Vectorized operations allow you to perform operations on entire arrays at once, rather than element by element.

Are there any specific functions in NumPy that I should use for better performance?

Yes, functions like np.sum(), np.mean(), and np.dot() are optimized for performance and should be preferred.

What about memory usage? Any tips for that?

To optimize memory usage, use data types that require less memory, like float32 instead of float64, when possible.