How can I optimize the performance of my Python code?

How can I optimize the performance of my Python code?

There are several strategies to optimize Python code performance, such as using built-in functions, avoiding global variables, and utilizing libraries like NumPy for numerical computations.

Can you give me an example of using NumPy for performance improvement?

Sure! Instead of using a for loop to sum a list of numbers, you can use NumPy's sum function, which is optimized for performance. For example: import numpy as np; total = np.sum(my_list).

What about using multiprocessing? How does that help?

Multiprocessing can help by allowing your program to run multiple processes simultaneously, taking advantage of multiple CPU cores. This is particularly useful for CPU-bound tasks.

Are there any tools to profile my Python code?

Yes, tools like cProfile and line_profiler can help you identify bottlenecks in your code, allowing you to focus your optimization efforts effectively.