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Learn how to execute multiple Python programs simultaneously using threading in this comprehensive guide. Perfect for Python enthusiasts looking to improve their applications!
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Running Parallel Programs in Python: A Step-by-Step Guide

Have you ever faced the challenge of executing two different Python programs at the same time? You may be working on a graphical interface (like one built with Tkinter) that requires continuous updates while also needing to call another script. The good news is that Python can handle this efficiently through parallel execution. In this guide, we'll explore how to achieve this by using threading. Let's dive into the problem and its solution.

The Problem: Blocking Execution

Imagine you have a Tkinter application that runs certain ongoing tasks, such as updating a user interface. Now, when you press a button to call another program, you find that the current execution pauses until the called program finishes. This is not ideal, as you want both the current task and the new program to run at the same time.

Sample Code Overview

Here's a simplified view of the original sample code:

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

As illustrated, pressing the button calls the new_file.py, which halts the UI's updates until it completes. Our goal is to modify this behavior.

The Solution: Using Threading

To resolve the issue of blocking execution, you can use threading in Python. Threading allows you to run separate programs concurrently, enabling both the calling program and the called script to execute at the same time.

Step-by-Step Implementation

We will modify the callback() function to incorporate threading properly. Here's how to do it:

Import the Required Modules: Ensure you have threading and os imported.

Define the Callback Function: Change the callback function to launch new_file.py in a new thread.

Start the New Thread: Use the Thread class from the threading module to start the script without blocking the main program.

Here's the modified callback function:

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

Putting It All Together

Here's how your finalized application might look with the changes incorporated:

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

Key Takeaways

Non-Blocking Execution: By using threading, we created a non-blocking UI that can perform ongoing operations while executing another script.

Simplicity: The use of threading can significantly simplify the code when executing asynchronous tasks, preserving the responsiveness of the GUI.

In conclusion, Python's threading capabilities provide an effective way to run parallel programs seamlessly. By simply modifying your callback function, you can enhance your application to meet modern interactive demands. Happy coding!