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One way to speed up the process of repeated iteration in Python is by using the "yield" keyword to create a generator function. A generator function allows you to suspend and resume the execution of a function at any point, which can be useful for swapping turns quickly.

For example, consider a game where two players take turns rolling a dice. One approach is to use a while loop to keep iterating until a certain condition is met:

import random

def roll_dice():
    return random.randint(1, 6)

player1_score = 0
player2_score = 0
while player1_score < 100 and player2_score < 100:
    player1_score += roll_dice()
    player2_score += roll_dice()

However, this approach can be slow if you need to swap turns quickly. Instead, you can use a generator function to yield the result of each roll, and then switch to the other player:

import random

def roll_dice():
    return random.randint(1, 6)

def take_turns():
    while True:
        yield roll_dice()

player1_score = 0
player2_score = 0
turns = take_turns()
while player1_score < 100 and player2_score < 100:
    player1_score += next(turns)
    player2_score += next(turns)

In this example, the "take_turns" generator function yields the result of each roll, and the "next" function is used to retrieve the next value in the generator. By using a generator function and the "next" function, we can quickly swap turns and speed up the iteration process.