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Python provides robust exception handling mechanisms using try, except, and raise statements. These tools allow developers to gracefully handle errors, ensuring the program doesn't crash unexpectedly.
Example of Try, Except, and Raise
Here’s a practical example demonstrating how to use try, except, and raise:
def divide_numbers(a, b):try:# Attempt to perform divisionresult = a / bexcept ZeroDivisionError:# Handle division by zero errorprint("Error: Division by zero is not allowed.")return Noneexcept TypeError:# Handle invalid data typesprint("Error: Both inputs must be numbers.")return Noneelse:# Executes if no exception occursprint("Division successful!")return resultfinally:# Executes regardless of exceptionprint("Execution of divide_numbers is complete.")# Example usagetry:print(divide_numbers(10, 0)) # Triggers ZeroDivisionErrorprint(divide_numbers(10, "5")) # Triggers TypeErrorprint(divide_numbers(10, 2)) # Successful divisionexcept Exception as e:print(f"Unhandled exception: {e}")Copied!✕Copy Python Exception Handling - GeeksforGeeks
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Python Try Except - W3Schools
When an error occurs, or exception as we call it, Python will normally stop and generate an error message. These exceptions can be handled using the try statement:
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Python Try Except: Examples And Best Practices
- Let’s finally write some actual code! To handle an exception, we need to catch it. As we just learned, we can catch an exception by using the try and except keywords. When an exception occurs while we are inside the try block, the code in the exceptblock is executed.
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