Скачать или смотреть How to Run Multiple Python Scripts in Parallel from a Master Script

Discover how to run multiple Python scripts in parallel using a master script, even when each script contains loops. Learn effective threading techniques and best practices for parallel processing.
---
This video is based on the question https://stackoverflow.com/q/69852862/ asked by the user 'Simon Henn' ( https://stackoverflow.com/u/15800314/ ) and on the answer https://stackoverflow.com/a/69855994/ provided by the user 'CodeCop' ( https://stackoverflow.com/u/7788270/ ) 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: Run multiple python scripts in parallel from master script

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.
---
How to Run Multiple Python Scripts in Parallel from a Master Script

Are you looking to run multiple Python scripts simultaneously using a master script? This is a common requirement for many developers, especially when working with tasks that can benefit from parallel processing. However, challenges can arise, especially when your scripts contain loops. In this guide, we’ll explore how to effectively run multiple Python scripts in parallel and provide you with a step-by-step guide to achieve this.

The Problem

Let’s say you have two scripts named script_1.py and script_2.py, which look like this:

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

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

The goal is to execute both scripts simultaneously from a master script. A common approach might be:

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

However, this method won't actually execute the scripts in parallel, which leaves you looking for a better solution.

A Solution Using Threads

To run your scripts in parallel, you will need to utilize threading. This allows your scripts to execute concurrently rather than sequentially. Here’s how to set it up correctly.

Setting Up the Threads

First, let’s write a master script that uses the threading module. Here’s a refined example:

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

Explanation of the Code

Importing Modules: We start by importing the sleep function from time and Thread class from the threading module.

Defining Functions: We define two functions, function_1() and function_2(), each containing an infinite loop that prints a number.

Creating Threads:

Thread(target=function_1) correctly assigns the target function without calling it immediately (notice the absence of parentheses).

Starting Threads: You call .start() on each thread object to begin execution concurrently.

Final Note on join(): Including join() for infinite loops doesn’t make sense, as that line will never be reached. It’s redundant in this case since the functions will run indefinitely.

Conclusion

Running multiple Python scripts in parallel from a master script can enhance efficiency when handling tasks that can operate concurrently. By using the threading approach correctly, you can ensure that each script runs independently, even when they contain potentially blocking operations like loops.

Now you are equipped with the knowledge to create a master script that runs Python scripts simultaneously. Get creative and experiment with threading in your own projects!

If you have any questions or need further assistance, feel free to reach out in the comments below. Happy coding!