How to Run Two Functions Simultaneously in Python?

Discover how to efficiently run two functions simultaneously using Python's asyncio module!
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How to Run Two Functions Simultaneously in Python?

When working with Python, there are times you’ll want to perform multiple tasks at the same time. For instance, you may have two lengthy functions that hinder the performance of your application if run sequentially. In this guide, we’ll explore how to run two functions simultaneously, saving precious seconds and enhancing efficiency.

The Problem

Let’s say you have the following functions:

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In this example, you can expect that the complete execution time would take 6 seconds as the short_task and long_task run sequentially. But what if you could run them together and finish the whole code in just 4 seconds?

The Solution: Using asyncio

One of the most effective ways to run Python functions concurrently is through the asyncio module. Below, we will break down the process into several easy steps:

Step 1: Import the asyncio Module

First of all, you need to import the asyncio module at the top of your Python script:

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Step 2: Convert Functions to Asynchronous

Next, alters your traditional functions into asynchronous ones by replacing def with async def. This change helps the functions understand when they're able to execute while waiting for other tasks.

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Step 4: Create a Main Function to Manage Tasks

It’s useful to have a main function to manage your asynchronous tasks efficiently. Here’s how you can structure it:

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Step 5: Run the Asynchronous Code

Finally, you execute the main function with the following command:

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Bringing It All Together

Here's how your complete code will look after incorporating all the above components:

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Validation

You might want to confirm that this process runs in approximately 4 seconds instead of 6. With the efficiency of asyncio in place, both tasks are now managed concurrently, significantly enhancing your program's runtime performance.

Conclusion

Running functions simultaneously in Python doesn't have to be complex. By leveraging the power of the asyncio module, you can effectively manage your tasks and optimize your application. So go ahead and experiment with these techniques in your projects, resulting in a more efficient and responsive experience!

If you have any questions, feel free to ask in the comments below!