python多进程计算圆周率

可以使用Python的多进程和蒙特卡罗方法来计算圆周率。首先，需要导入random和multiprocessing库。然后，可以定义一个函数estimate_pi(n)，其中n是指定的采样点数量。在这个函数中，通过生成随机的x和y坐标，并判断这些坐标是否在单位圆内来估计圆周率。最后，通过将估计结果相加并除以进程数量来得到最终的估计值。以下是示例代码：

import random
from multiprocessing import Pool

def estimate_pi(n):
    num_points_inside_circle = 0
    for _ in range(n):
        x = random.uniform(-1, 1)
        y = random.uniform(-1, 1)
        if x**2 + y**2 <= 1:
            num_points_inside_circle += 1
    return 4 * num_points_inside_circle / n

if __name__ == '__main__':
    num_processes = 4
    num_samples = int(1e8)
    
    with Pool(num_processes) as p:
        results = p.map(estimate_pi, [int(num_samples/num_processes)] * num_processes)
    
    print(sum(results) / num_processes)

这段代码使用了4个进程来并行计算圆周率，每个进程使用相同数量的采样点进行估计。最后，将每个进程的估计结果相加并除以进程数量，得到最终的估计值。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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