ThreadPoolExecutor()pyqt
时间: 2023-10-17 13:26:15 浏览: 23
ThreadPoolExecutor()是一个线程池模块,可以与PyQt5中的多线程模块QThread一起使用。它主要用于解决PyQt5界面程序执行耗时操作时出现的程序卡顿和界面输出无法实时显示的问题。通过使用ThreadPoolExecutor,可以将耗时操作放到后台线程中执行,从而避免阻塞主线程,保持界面的流畅性和及时响应性。同时,它还可以解决在执行多个任务时,如ping多个IP,耗时导致程序无法响应问题。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [PyQt5中多线程模块QThread解决界面卡顿无响应问题,线程池ThreadPoolExecutor解决多任务耗时操作问题](https://blog.csdn.net/u013541325/article/details/125698192)[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: 50%"]
- *2* [PyQt5中多线程模块QThread和线程池ThreadPoolExecutor解决PyQt5界面程序执行比较耗时操作无响应问题](https://download.csdn.net/download/u013541325/85984233)[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: 50%"]
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