Running functions concurrently in python asyncio

Asynchronous programming in Python has become increasingly popular, especially with the introduction of the asyncio module. asyncio allows you to write concurrent code that can efficiently handle multiple tasks without blocking the execution of other code. In this tutorial, we'll explore how to run functions concurrently using asyncio in Python.
Make sure you have Python 3.5 or later installed on your machine, as asyncio is available from Python 3.5 onwards.
Before diving into concurrent function execution, let's briefly understand some basic concepts of asyncio:
Coroutines: These are special functions that can be paused and resumed. They are defined using the async def syntax.
Event Loop: asyncio relies on an event loop to manage the execution of coroutines. The event loop schedules and runs coroutines, allowing them to yield control back to the loop.
You should see output similar to the following:
Both tasks run concurrently, and the total execution time is approximately 3 seconds, the time it takes for the longer task (task_two()) to complete.
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