Python Static Typing vs Runtime Validation

Static typing helps detect mismatches before running code, whereas runtime validation checks real values crossing trust boundaries.

What It Does and Why It Matters

Static typing helps detect mismatches before running code, whereas runtime validation checks real values crossing trust boundaries. They solve different problems and are most effective together.

Step-by-Step Example

Start with the complete example below. Read the inputs and predict what the final print statement will show before you run it.

def validate_age(age: int) -> int:
    if not isinstance(age, int) or isinstance(age, bool):
        raise TypeError('age must be an integer')
    if not 0 <= age <= 120:
        raise ValueError('age out of range')
    return age
print(validate_age(27))

How the Code Works

The definition of validate_age creates reusable behavior; its body runs only when called or instantiated as appropriate.
The print calls display the results. Compare these results with the method’s documented return type and the input used.

Expected output:

For the demonstrated inputs, Python displays '27'. This result follows from the operation described above; change one input at a time to understand which rule matters.

What to Notice

Pay attention to the accepted input types, the returned value and the boundary behavior. Predict what changes if you replace the example input with an empty, zero, negative or missing value, where that value is meaningful for this operation.

If the task uses a library function, inspect its documented exceptions and return type before reusing it inside a larger function.

Where You Would Use This

Use the technique when it makes a real task easier to understand or safer to maintain. Check input and output behavior with small tests before combining it with larger application code.

Practice Exercise

Create a function with both an int annotation and a runtime range check.

Before running your edited example, write down the result you expect. Then test at least one valid boundary or deliberately invalid value, using appropriate exception handling where necessary.

Reference: official Python documentation for the complete API contract and version notes.

Common Beginner Mistakes

Relying on a static annotation to reject JSON input from a client automatically.
Overlooking the documented condition: they solve different problems and are most effective together.

Key Takeaways

Static typing helps detect mismatches before running code, whereas runtime validation checks real values crossing trust boundaries.
Create a function with both an int annotation and a runtime range check.