Home Technical Resources Python thread pool and its principles and uses
Python thread pool and its principles and uses

Python thread pool and its principles and uses

In object-oriented programming, creating and destroying objects is very time-consuming, because creating an object requires obtaining memory resources or other resources. This is especially true in Java, where the virtual machine will try to track every object so that it can be garbage collected after the object is destroyed. Therefore, one way to improve the efficiency of service programs is to reduce the number of object creation and destruction as much as possible, especially the creation and destruction of some resource-intensive objects. PHP Chinese website brings you a variety of Python thread pool related download resources, related courses, related articles and other content for everyone to download and use for free.

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Python thread pool and its principles and uses

Python thread pool and its principles and uses

Python thread pool and its principles and uses

Python thread pool and its principles and uses

The cost of the system starting a new thread is relatively high because it involves interaction with the operating system. In this case, using a thread pool can greatly improve performance, especially when the program needs to create a large number of threads with short lifetimes, you should consider using the thread pool. The thread pool creates a large number of idle threads when the system starts. As long as the program submits a function to the thread pool, the thread pool will start an idle thread to execute it. When the function is executed, the thread will not die, but will return to the thread pool again and become idle waiting to execute the next function.

Jun 20, 2023 pm 04:44 PM

The difference between python thread pool and multi-threading

The difference between python thread pool and multi-threading

The difference between python thread pool and multi-threading: 1. Threads travel under the process; 2. Threads travel under the process; 3. A process can contain multiple threads; 4. Data is difficult to share between different processes; 5. Processes are smaller than Threads consume more computer resources.

Jun 20, 2023 pm 04:51 PM

python线程池的实现实例

python线程池的实现实例

这篇文章主要介绍了python线程池的实现方法,代码简单实用,供大家参考使用

Jun 16, 2016 am 08:46 AM

Implementation of python thread pool threadpool

Implementation of python thread pool threadpool

This article mainly introduces the implementation of python thread pool threadpool in detail. It has certain reference value. Interested friends can refer to it.

Apr 27, 2018 am 09:56 AM

How to pass single parameter and multiple parameters to python thread pool ThreadPoolExecutor

How to pass single parameter and multiple parameters to python thread pool ThreadPoolExecutor

Python thread pool ThreadPoolExecutor, passing a single parameter and multiple parameters This is the thread pool passing a single parameter fromconcurrent.futuresimportThreadPoolExecutor, as_completeddeftest(a):print(a)qq={"a":"1","b":"2 ","c":"3"}withThreadPoolExecutor()aspool:forj

Apr 19, 2023 pm 07:22 PM

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