You can issue follow-up tasks with the ThreadPool either manually by checking the results of tasks or automatically using a result callback โฆ
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Tutorials on the ThreadPool class for concurrency in Python.
You can issue follow-up tasks with the ThreadPool either manually by checking the results of tasks or automatically using a result callback โฆ
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Asynchronous tasks issued to the ThreadPool can fail silently. You can learn more about asynchronous tasks that fail silently in the ThreadPool by โฆ
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You can cancel all tasks in the ThreadPool if one task fails using a shared Event object. In this tutorial, you will discover how to cancel all โฆ
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You can safely stop tasks in the ThreadPool using a shared Event object. In this tutorial, you will discover how to safely stop tasks in the โฆ
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You can get results from tasks in the ThreadPool using a callback or by calling AsyncResult.get(). In this tutorial, you will discover how to get โฆ
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The ThreadPool will be closed automatically by the Python garbage collector if required. It will not prevent the program from exiting and the โฆ
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Child worker threads are started automatically after creating an instance of the ThreadPool class. In this tutorial, you will discover when the โฆ
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You can get the details of the thread used to initialize worker threads and to execute tasks in the ThreadPool. Additionally, the ThreadPool uses โฆ
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You can get the name of a worker thread in the ThreadPool by calling threading.current_thread() and then accessing the "name" attribute. Worker โฆ
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What if you could use thread pools to run many tasks concurrently right now, with just a very small change to your code?
The ThreadPool class provides easy-to-use thread-based concurrency.
There's just one problem. Few people know about it (or how to use it well).
Introducing: "Python ThreadPool Jump-Start".
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