python multiprocessing pool apply
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Multiprocessing is a Python module that allows you to parallelize your code and take advantage of multiple processors or cores to speed up the execution of certain tasks. The multiprocessing module provides a Pool class that makes it easy to parallelize function calls. In this tutorial, we'll explore the apply method of the Pool class.
The multiprocessing.Pool class provides a convenient way to parallelize the execution of a function across multiple input values. It creates a pool of worker processes and distributes the tasks among them.
The apply method is one of the ways to use the Pool class. It applies a function to each item in the iterable passed to it and returns a list of the results. The function is applied to the items in parallel, taking advantage of multiple processors.
Let's walk through a simple example to illustrate the usage of multiprocessing.Pool.apply. In this example, we'll calculate the square of each number in a list using parallel processing.