In asynchronous code, use try-except blocks around await statements. Consider using asyncio's `gather` function with error handling for multiple coroutines.

Handling exceptions in asynchronous code can be challenging due to the non-blocking nature of async functions. When using the await statement to call asynchronous functions, you can use try-except blocks to catch exceptions that may arise during execution. For example:

async def my_coroutine():
    try:
        result = await some_async_function()
    except SomeError as e:
        handle_error(e)

For managing multiple coroutines concurrently, consider using asyncio.gather(), which allows you to run multiple coroutines simultaneously and handle their results and exceptions. By default, if one coroutine raises an exception, the others will be canceled. You can control this behavior by using the return_exceptions=True argument, which allows all coroutines to run and returns exceptions as results instead of raising them immediately. This approach enables you to manage errors more gracefully, providing better insights into which operations succeeded or failed. By implementing these strategies, you can effectively handle exceptions in your asynchronous Python code.