ThreadPoolExecutor

It is important to follow best practices when using the ThreadPoolExecutor in Python. Best practices allow you to side-step the most common errors …

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You can stop all tasks if one task fails with the ThreadPoolExecutor in Python by using a threading.Event and waiting for tasks with the wait() module …

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You can submit a follow-up task to a ThreadPoolExecutor by calling the submit() function. In this tutorial, you will discover how to submit …

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You can handle exceptions in the ThreadPoolExecutor raised by tasks by catching them when getting the result. In this tutorial, you will discover …

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You can set ThreadPoolExecutor initializer functions via the initializer argument. In this tutorial, you will discover how to set the initializer …

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You can configure the number of threads in the ThreadPoolExecutor in Python by setting the max_workers argument. In this tutorial, you will …

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You can use thread local data by passing an instance of local to task functions in the ThreadPoolExecutor in Python. In this tutorial, you will …

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Use map() when converting a for-loop to use threads and use submit() when you need more control over asynchronous tasks when using the …

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You can wait for the first task to finish in the ThreadPoolExecutor by calling the wait() function with return_when set to FIRST_COMPLETED. In this …

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