How does exception handling work in Python (try/except/else/finally)?
Reviewed by Gurusankar M.
Short Answer
Wrap risky code in `try`, handle specific errors in `except`, put code that runs only on success in `else`, and cleanup that always runs in `finally`. Python favors EAFP ('easier to ask forgiveness than permission') — try the operation and catch the specific exception rather than pre-checking everything.
On this page
Concept Made Simple
Coffee Chat Question
“How does exception handling work in Python (try/except/else/finally)?”
Remember It Faster
Mind Map Answer
- try
- code that might fail
- except X
- handle a specific error
- else
- runs only if no exception
- finally
- always runs (cleanup)
Learn by Doing
Hands-on Keyboard
def safe_div(a, b):
try:
result = a / b
except ZeroDivisionError:
return "cannot divide by zero"
else:
return result
finally:
print("done")
print(safe_div(10, 2))
print(safe_div(10, 0))done 5.0 done cannot divide by zero
Think Beyond the Expected
What If?
Why is `except Exception:` (or bare `except:`) considered a bad habit?
It swallows every error — including ones you didn't anticipate (typos, KeyboardInterrupt with bare except) — hiding real bugs and making debugging painful. Catch the specific exception you can handle, and let unexpected ones propagate or be logged with context.
Real World
Robust services catch specific, expected failures (network timeout, missing key, bad input), clean up resources in finally, and let unknown errors bubble up to a logger — never silently pass.
Interviewer's Expectation
Keywords they're listening for:
- try/except/else/finally roles
- catch specific exceptions
- EAFP style
- finally for cleanup
- avoid bare except
Common Mistakes
- Bare `except:` swallowing all errors
- Catching Exception too broadly
- Using exceptions for normal control flow everywhere
Best Practices
- Catch the narrowest exception you can handle
- Use finally / context managers for cleanup
- Log or re-raise unexpected errors, never silently pass
Follow-up Questions
- EAFP vs LBYL — which does Python prefer?
- How do you raise and define custom exceptions?
- What does `raise ... from e` do (exception chaining)?
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Plain-language foundations
I'm preparing for a software engineering interview and want to understand this from scratch, as a beginner. Topic: Exceptions (Python) Interview question: "How does exception handling work in Python (try/except/else/finally)?" Please: 1. Explain the core idea in simple, plain language, using an everyday analogy. 2. Define any technical terms you use. 3. Walk through one small, concrete example. 4. Finish with a single sentence I can easily remember. Keep the tone friendly and assume I'm new to this topic.
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