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Python’s exception-handling mechanism provides a structured way to detect, handle, and manage runtime errors without abruptly terminating the program. The complete exception-handling block architecture consists mainly of `try`, `except`, `else`, and `finally`. These blocks work together to separate normal program execution from error-handling operations and cleanup activities. In a Data Structures and Algorithms laboratory, exception handling is especially useful because programs frequently perform operations such as array indexing, stack and queue manipulation, searching, file processing, and input conversion, where invalid input or unexpected conditions may produce runtime exceptions. The `try` block contains the statements that may generate an exception. Python first executes the statements inside the `try` block. If no exception occurs, the statements are completed normally and the `except` block is skipped. If an exception occurs, Python immediately stops executing the remaining statements in the `try` block and searches for a matching `except` block. The appropriate `except` block then handles the exception. The `except` block is used to catch and handle an exception. It can be designed to handle a particular type of exception, such as `ValueError`, `IndexError`, `ZeroDivisionError`, or `KeyError`. Specific exception handling is generally preferred because it makes the program easier to understand and prevents unrelated errors from being hidden. The `else` block is executed only when the `try` block completes successfully without raising an exception. Therefore, it is useful for statements that should execute only after the risky operations in the `try` block have succeeded. Keeping successful-operation code in `else` also makes ______ ____ ___ __________ ______ __________ __________ __________ ____ ____ __________ _____.
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