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3 cards from this section. Quick, good the night before a test.
What is the purpose of using a try-except block in async code?
Think about how you deal with errors in normal Python code.
Write a simple coroutine that raises a ValueError.
Use 'raise ValueError()' within the asynchronous function.
What keyword is used to define a coroutine in Python?
Remember, it's not just about defining but also executing the coroutine.
True or False: Exceptions in async functions cannot be handled using try-except blocks.
Think about error handling in traditional Python functions.
Create an async function that performs multiple tasks concurrently and simulates failures using random exceptions. Implement appropriate error handling for each potential failure.
Use Python's random library to generate failure events.
Write a complete async server-client application using asyncio where the server handles multiple connections, each of which could fail. Ensure errors are logged and handled.
Check asyncio's documentation for reliable structure.
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