Guide Python Intermediate

8.9 Type Conversion Errors

The three exception types behind nearly every conversion failure — ValueError, TypeError, and OverflowError — and the common causes that trigger each.

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Three exception types account for nearly every conversion failure — recognizing them immediately tells you what went wrong.

ValueError

Raised when the type is correct but the actual value can’t be parsed into the target type — e.g. a string that isn’t a valid number.

>>> int("abc")
Traceback (most recent call last):
ValueError: invalid literal for int() with base 10: 'abc'

TypeError

Raised when the conversion doesn’t even make sense for that type at all — e.g. trying to convert None or a list directly into an int.

>>> int(None)
Traceback (most recent call last):
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'

OverflowError

Raised when a numeric result is too large to be represented — rare with Python’s arbitrary-precision ints, but real for float, which has finite range.

>>> float(2) ** 10000
Traceback (most recent call last):
OverflowError: (34, 'Numerical result out of range')

Common Causes

  • Converting user input without validating it first (see 8.10 Safe Type Conversion)
  • Assuming an API/CSV/JSON field is always the type expected
  • Trying to parse a decimal string directly with int() instead of going through float() first

Quick Interview Answer

“Three exceptions cover almost every conversion failure: ValueError, when the type is right but the value can’t be parsed — like int('abc'); TypeError, when the conversion doesn’t make sense for that type at all — like int(None); and OverflowError, when a numeric result is too large to represent, which is rare for Python’s arbitrary-precision int but real for float’s finite range. The most common real-world trigger is converting untrusted input — user input, an API field, a CSV cell — without validating it first.”

Common Mistakes

  • Catching a bare except: instead of the specific exception type, hiding bugs unrelated to the conversion itself.
  • Not distinguishing ValueError from TypeError when handling a conversion — both can happen from the same call site depending on the input, and often both need catching together (see 8.10 Safe Type Conversion).

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