{"id":202834,"date":"2025-01-09T08:17:46","date_gmt":"2025-01-09T08:17:46","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/how-to-get-return-value-from-multiprocessing-in-python\/"},"modified":"2025-01-09T08:17:46","modified_gmt":"2025-01-09T08:17:46","slug":"how-to-get-return-value-from-multiprocessing-in-python","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-get-return-value-from-multiprocessing-in-python\/","title":{"rendered":"How to get return value from multiprocessing in Python?"},"content":{"rendered":"

When working with multiprocessing in Python, you may come across scenarios where you need to retrieve the return value from a process. This can be achieved using the `multiprocessing.Pool` class, which allows you to asynchronously execute functions and retrieve their return values. Here’s how you can get the return value from multiprocessing in Python:<\/p>\n

“`python
\nimport multiprocessing<\/p>\n

\ndef some_function(x):
\n return x * x<\/p>\n

\nif __name__ == ‘__main__’:
\n pool = multiprocessing.Pool()
\n result = pool.apply(some_function, (10,))
\n print(result)
\n“`<\/p>\n

In this example, we define a function `some_function` that takes a single argument `x` and returns the square of `x`. We then create a `multiprocessing.Pool` object and use the `apply` method to execute the `some_function` with the argument `10`. The `result` variable will store the return value of the function, which we can then print to the console.<\/p>\n

**The return value from multiprocessing in Python can be obtained using the `apply` method of the `multiprocessing.Pool` class.**<\/p>\n

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