Mastering Asyncio: How to Run Tasks Concurrently in Python

Discover how to run asynchronous tasks concurrently with Python's `asyncio` library. Learn to enhance your functions for improved performance and user experience.
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Mastering Asyncio: How to Run Tasks Concurrently in Python

Python's asynchronous programming can sometimes be tricky, especially when you want to run multiple async functions without blocking each other. You might find yourself in a situation where you have one async function that should continue executing while waiting for another to finish. In this guide, we will address how to run one task in another one concurrently using Python's asyncio library.

The Problem: Blocking Behavior

Consider you have two async functions:

func_2: This function handles a request to a website and returns a status code.

func_1: This function simulates a user interface, showing progress to the user while waiting for func_2 to complete.

The challenge arises when func_1 calls func_2 directly; hence, it blocks execution. The user interface does not update until func_2 is done processing, which is not a desirable experience. You want func_1 to keep running and displaying progress while func_2 is working in the background.

The Initial Code

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

As you can see, once func_2 is called, func_1 stops until func_2 finishes its execution.

The Solution: Creating a Task for Concurrent Execution

To solve this issue, we can convert func_2 into a task and use a loop inside func_1 to wait for the task to complete. This will allow both functions to run concurrently, providing a smooth user experience with visible progress.

Step-by-Step Explanation

Updated Code Example

Here’s how you can implement the solution:

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

In this modified version, you'll see that func_1 remains responsive while func_2 executes in the background. The progress message updates at regular intervals until the task is complete.

Conclusion: Enhancing User Experience with Concurrency

Happy coding! If you have any questions or would like to share your experience with asyncio, feel free to leave a comment below!