How can I improve the performance of my NumPy code?

How can I improve the performance of my NumPy code?

You can improve NumPy performance by using vectorization, avoiding loops, and utilizing built-in functions.

What is vectorization and how does it help?

Vectorization allows you to perform operations on entire arrays instead of element-wise, which speeds up computations.

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

Yes, functions like np.dot() for matrix multiplication and np.sum() for summing arrays are optimized for performance.

What about memory usage? Any tips?

To optimize memory usage, consider using data types like float32 instead of float64 and avoid creating unnecessary copies of arrays.