Python 多线程高效处理任务

import concurrent.futures

def a(i):
    print(i)
    time.sleep(10)
    return True

def threding_test():
	result_list = []
	with concurrent.futures.ProcessPoolExecutor() as executor:
	   futures = [executor.submit(a, i) for i range(10)]
	   with tqdm(total=len(futures), desc=f"Please wait a moment... ") as pbar:
	       for future in concurrent.futures.as_completed(futures):
	           result = future.result()
	           if result is not None:
	               result_list.append(result)
	           pbar.update(1)
return result_list

if __name__ == '_main_':
threding_test()

Python 2不兼容concurrent.futures 可以使用future
python -m pip install futures

from concurrent.futures import ThreadPoolExecutor
def threding_test():
	result_list = []
	with ThreadPoolExecutor() as executor:
	   futures = [executor.submit(a, i) for i range(10)]
	   for future in futures :
	       result = future.result()
	       if result is not None:
            result_list.append(result)
return result_list
评论 1
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值