What are some best practices for using NumPy?

What are some best practices for using NumPy?

Some best practices include using vectorized operations, avoiding loops, and utilizing built-in functions for efficiency.

Can you explain why vectorization is important?

Vectorization allows you to perform operations on entire arrays at once, which is much faster than looping through elements.

What about memory management in NumPy?

It's important to be mindful of memory usage; use views instead of copies when possible and consider data types.

Are there any common pitfalls to avoid?

Yes, avoid using Python lists for large datasets, and be cautious with broadcasting rules to prevent unexpected results.