What are the performance differences between lists and arrays in Python?

What are the performance differences between lists and arrays in Python?

In Python, lists are dynamic arrays that can hold mixed data types, while arrays (from the array module) are more efficient for numerical data.

Can you explain why arrays are more efficient for numerical data?

Arrays are more efficient because they store data in a contiguous block of memory and have a fixed type, which reduces overhead.

How do I choose between using a list or an array in my code?

If you need to store mixed data types or require dynamic resizing, use lists. For numerical data and performance, prefer arrays.

Can you provide an example of when to use each?

Sure! Use a list for a collection of different types, like names and ages. Use an array for a large dataset of numbers, like pixel values in an image.