python 安装multiprocessing
时间: 2023-11-19 12:55:46 浏览: 99
根据提供的引用内容,Python中的multiprocessing是一个进程标准库,不需要安装,直接引包使用即可。multiprocessing提供了两种API,一个是Pool类,而另一个是Process类。如果要使用multiprocessing,只需要在代码中引入multiprocessing库即可。下面是一个简单的多进程例子:
```python
from multiprocessing import Process
def func(x):
print(x*x)
def running():
p = [Process(target=func, args=(2,)), Process(target=func, args=(4,))]
[p.start() for p in p]
[p.join() for p in p]
if __name__ == '__main__':
running()
```
相关问题
python安装multiprocessing
Python自带multiprocessing模块,无需额外安装。您可以直接在代码中导入该模块并使用其中的函数和类。
示例代码:
```python
import multiprocessing
def worker():
print('Worker')
if __name__ == '__main__':
p = multiprocessing.Process(target=worker)
p.start()
p.join()
```
python threading multiprocessing
Python中的threading模块和multiprocessing模块是实现并发编程的两种常用方式。引用中提到了Python中常使用的线程模块有thread(低版本使用的),threading,queue和multiprocessing threading。而引用则指出了三种主流的Python并发编程方式,即多进程multiprocessing,多线程threading和协程asyncio。在并发编程中,可以根据具体需求选择适合的方式来实现并发操作。引用给出了关于Python threading和multiprocessing模块的基本用法和注意事项的详细介绍,可以作为参考。所以,Python中的threading和multiprocessing模块都是实现并发编程的常用工具。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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- *3* [python threading和multiprocessing模块基本用法实例分析](https://download.csdn.net/download/weixin_38552083/12861249)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 33.333333333333336%"]
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