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Скачать или смотреть Passing Arguments to subprocess.run from a List in Python

  • vlogize
  • 2025-08-03
  • 4
Passing Arguments to subprocess.run from a List in Python
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Описание к видео Passing Arguments to subprocess.run from a List in Python

Discover how to pass arguments effectively to `subprocess.run` using lists in Python, ensuring that each argument is handled correctly without errors.
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This video is based on the question https://stackoverflow.com/q/76409565/ asked by the user 'Chris Barrett' ( https://stackoverflow.com/u/7703778/ ) and on the answer https://stackoverflow.com/a/76409586/ provided by the user 'Barmar' ( https://stackoverflow.com/u/1491895/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Passing arguments to subprocess.run from list

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Solving the Challenge of Passing Arguments to subprocess.run in Python

When working with Python, you may often find yourself needing to execute system commands or scripts. The subprocess module is a powerful tool that allows you to spawn new processes and connect to their input/output/error pipes. A common scenario is passing arguments to a command like rsync, which is widely used for file synchronization. However, you might run into issues when trying to pass arguments stored in a list or string. Let's dive into this challenge and uncover the solution.

The Problem

You’ve written a small script that uses subprocess.run to call rsync, but you're running into problems when trying to pass the command-line arguments stored in a list or as a string. Here’s a breakdown of what you might be doing:

Working with individual arguments:

[[See Video to Reveal this Text or Code Snippet]]

This works perfectly because each argument is specified individually.

Trying to use a string:

[[See Video to Reveal this Text or Code Snippet]]

In this case, args is a single string, which won't be split correctly when passed to the command, leading to potential errors.

Joining a list with a comma:

[[See Video to Reveal this Text or Code Snippet]]

This also won’t work as expected because joining the list with a comma creates a single string.

Clearly, there’s a disconnect between how we are formatting our arguments and what subprocess.run expects.

The Solution

To resolve this issue, you need to ensure that each argument remains a separate element in the list you pass to subprocess.run. The key is to use the unpacking operator * to spread out the elements of the list when calling the function.

Here’s How to Do It Correctly:

Define your arguments in a list:

[[See Video to Reveal this Text or Code Snippet]]

Use the unpacking operator * when calling subprocess.run:

[[See Video to Reveal this Text or Code Snippet]]

Important Details:

Why use the unpacking operator?
Using * creates a new list that contains each item from args as individual arguments, allowing subprocess.run to parse them correctly.

Avoid using join() for argument lists:
Combining your arguments into a single string using join() will not work because subprocess.run will interpret it as one long argument instead of multiple.

Summary

When passing arguments to subprocess.run in Python, always keep command-line options as separate items in a list. Utilize the unpacking operator * for a seamless transition and correct execution. This small adjustment can save you from a myriad of bugs and frustrating errors when trying to run external commands from Python scripts.

By following these simple steps, you will streamline your process management in Python and make working with system calls more intuitive. Happy coding!

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