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Put the try statement inside the while loop and catch the specific exception the operation can raise. If an attempt fails, the handler can let the loop try again; when it succeeds, use break or update the loop condition to stop.
Retry an operation until it succeeds
The Python tutorial demonstrates this pattern with integer input: conversion can raise ValueError, so the loop catches that error and asks again.
while True:
try:
value = int(input("Enter an integer: "))
except ValueError:
print("That was not a valid integer. Try again.")
else:
break
print("Accepted:", value)
When int() raises ValueError, Python skips the rest of the try suite and runs the matching handler. After the handler finishes, execution continues after the try/except statement, so the next loop iteration begins. When conversion succeeds, the try suite completes normally and its else clause runs; break then exits the loop. See the Python 3.12 tutorial on errors and exceptions.
You can add continue after the error message to make the retry explicit, but it is not required if the handler reaches the end of the loop body. A while True loop must have a deliberate exit path, such as a successful break, or it can run indefinitely.
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Catch only the exception you expect
An except clause matches an exception class (or one of its base classes). Use the narrowest appropriate type: for example, catch ValueError when converting user-provided text to an integer. An exception that does not match that clause continues outward to an enclosing handler; if no handler catches it, Python reports the error rather than silently treating the operation as successful.
Avoid except: or except Exception: followed by pass when the intention is simply to keep looping. That can conceal programming errors and leave the program proceeding with invalid or incomplete state. If a broad handler is needed to add context or log an unexpected failure, preserve its visibility by re-raising it:
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try:
result = do_work()
except Exception as err:
log_failure(err)
raise
You can bind a matched exception with as err to inspect or log the exception instance. Prefer decisions based on exception types and structured data, not exact message text: Python’s language reference says exception messages are not part of the language API and may change. See the Python 3.14 language reference for exception clauses.
Keep the try suite focused
Protect only the operation that is expected to fail. If unrelated statements are also in the try suite, an exception from one of them may be caught by the same handler, making it appear to be an input or conversion problem.
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while True:
try:
value = int(input("Enter an integer: "))
except ValueError:
print("Enter digits that form a valid integer.")
else:
save_value(value)
break
The try else runs only if the try suite finishes without raising an exception. If save_value() raises an exception, it is not caught by the ValueError handler above, which is often the intended behavior.
Choose how the loop ends
Use break when a successful attempt should finish the loop immediately. In other designs, change the variable or state used by the while condition so the next condition check ends the loop. If failures should not be retried, omit the retry behavior and let the exception propagate or handle it outside the loop.
Do not confuse a try else with a loop else. A loop’s else clause runs only when the loop finishes without executing break; a break skips it. The two clauses answer different questions: whether the protected operation raised an exception, and whether the loop ended by exhaustion rather than an explicit break. The Python 3.14 tutorial explains loop else, break, and continue.
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Use finally or with for cleanup
When a loop’s operation uses a resource, cleanup should not depend on whether an attempt succeeds. A finally clause runs after the try/except processing whether or not an exception occurred. Avoid putting break, continue, or return inside finally: those control-flow statements can suppress an exception that would otherwise be re-raised and make the result difficult to reason about.
For file-like objects that support context management, prefer with so the resource is closed even if processing raises an exception:
while should_process_next_file():
try:
with open(next_path(), encoding="utf-8") as file:
process(file)
except OSError as err:
report_file_error(err)
Python uses a termination model for exceptions: a handler can respond to what happened and continue at an outer level, but it does not automatically repair the cause and retry the failed operation in place. To retry, control must re-enter the operation, as the loop does. The Python 3.14 tutorial covers exception propagation and cleanup.
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