In Python 3.14 asyncio, Task.cancel() requests cancellation; it does not guarantee that the task becomes cancelled. Cancellation raises CancelledError inside the coroutine at its next opportunity. Use try/finally for cleanup. If CancelledError is explicitly caught, it should generally be propagated once cleanup has finished. Distinguish the cancellation request from the task’s eventual cancelled outcome.

Source: https://docs.python.org/3.14/library/asyncio-task.html

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The built-in asyncio module is often used in I/O bound scenarios or in network related code. It allows functions to be run concurrently so that the main program does not have to wait for it to finish execution. Asyncio allows for concurrent Python coroutines, network I/O, control over subprocesses, the distribution of tasks via queues, and the synchronization of concurrent code. 

Asyncio Module

The asyncio module makes use of the keywords
```python
async
```
and
 ```python
await
```

```async``` is placed before the function declaration ```def``` and turns the function into a native coroutine or an asynchronous generator. Placing ```await``` inside an async function creates a coroutine while placing the ```yield``` keyword creates an asynchronous generator.


```await``` passes function control back to the event loop by suspending the coroutine. the ```await``` keyword in a function waits for a different function to execute and allows the main program to execute other code.

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