How can I parallelize a for loop in Python for improved performance?

To parallelize a for loop in Python for improved performance, you can use libraries like multiprocessing or concurrent.futures to split the loop iterations across multiple CPU cores. This allows the loop to run concurrently, speeding up the overall execution time.