Fundamentals 3 min read

Why Python Multiprocessing Needs target=func Without Parentheses

This article explains a common Python multiprocessing pitfall, showing how using target=function_name without parentheses correctly launches a new process, and illustrates the difference between passing a function object versus calling the function, accompanied by screenshots of the discussion, runtime output, and a concise solution.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
Why Python Multiprocessing Needs target=func Without Parentheses

Introduction

Hello, I'm Pipi. Yesterday I asked a question about Python multiprocessing in the "Python Diamond" group, and the discussion screenshot is shown below.

Discussion screenshot
Discussion screenshot

Below are the runtime screenshots of the issue:

First runtime screenshot
First runtime screenshot
Second runtime screenshot
Second runtime screenshot

Solution

User dcpeng provided an answer, illustrated in the following image:

Answer illustration
Answer illustration

The key point is that when creating a thread or process you must set target=function_name without parentheses.

1. Without parentheses, the function object itself is passed, so the thread runs the whole function without waiting for a return value.

2. With parentheses (and required arguments), the call executes the function and passes its return result, so the thread must wait for the function to finish.

Conclusion

This article reviews a basic Python multiprocessing issue, provides a concrete explanation and code implementation, thanks the participants, and invites readers to join the Python learning groups for further discussion.

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concurrencyTutorialthreadingmultiprocessing
Python Crawling & Data Mining
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