在GIL之外使用scipy例程

import multiprocessing
from scipy import ...

def compute_function(args):
    # 执行需要计算的任务，例如调用scipy的函数
    result = scipy_function(args)
    return result

if __name__ == '__main__':
    pool = multiprocessing.Pool()
    results = pool.map(compute_function, list_of_args)
    pool.close()
    pool.join()

import dask
from dask.distributed import Client
from scipy import ...

def compute_function(args):
    # 执行需要计算的任务，例如调用scipy的函数
    result = scipy_function(args)
    return result

if __name__ == '__main__':
    client = Client()  # 创建Dask客户端
    results = dask.compute([dask.delayed(compute_function)(args) for args in list_of_args])