Error Handling in Async Methods
Asynchronous programming introduces new complexities, and error handling is one of the most critical. When you are running dozens of tasks concurrently, what happens if one of them fails? How do you prevent a single failure from crashing your entire application?
Handling Exceptions: The `else` and `finally` Blocks
In the last article, we introduced the try...except block as the fundamental way to handle runtime errors in Python. It allows our programs to react to problems gracefully instead of crashing. However, the story doesn't end there. The full try statement includes two more optional but powerful clauses: else and finally.
Introduction to Exception Handling: `try` and `except` Blocks
Up to this point, our scripts have followed a "happy path." We assume the user will enter the correct type of data, the files we want to read will always exist, and we'll never divide by zero. But in the real world, things go wrong. Network connections fail, files are moved, and users enter invalid input.