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# 3.6.9: 24 vs. “24” CodeHS Answers

``````Code Segment One – Data Type – Numbers
num_result = 24 + 24
print(num_result)
Code Segment Two – Data Type – Strings
Change both numbers to strings and run code
Change only one number to a string and run code. What happens?
string_result = str(24) + str(24)
print(string_result)``````

Let’s discuss and run the code segments as described, including the experiments with changing numbers to strings.

### Code Segment One – Data Type – Numbers

This segment adds two numbers and prints the result.

``````num_result = 24 + 24
print(num_result)
``````

Output: 48

In this case, the operation is an addition of two integers, resulting in `48`.

### Code Segment Two – Data Type – Strings

Change both numbers to strings and run code.

This segment treats the numbers as strings and concatenates them.

``````string_result = str(24) + str(24)
print(string_result)
``````

Output: 2424

Here, the `str()` function converts the numbers to strings, and the `+` operator concatenates these strings, resulting in `"2424"`.

#### Change only one number to a string and run code

Let’s see what happens when only one of the numbers is converted to a string:

``````string_result_mixed = str(24) + 24
print(string_result_mixed)
``````

This code will not run as intended and will result in a `TypeError` because Python does not allow concatenation of strings and integers directly. You would need to convert the integer to a string explicitly to avoid this error:

``````string_result_mixed = str(24) + str(24)  # Correct approach
print(string_result_mixed)
``````

Or, if the intention is to add one number to another where one is already a string, you must convert the second number to a string as well, as shown above. The output would be the same as when both numbers are strings, `"2424"`.

In summary, adding two integers results in numerical addition, while concatenating strings (even if they represent numbers) results in a combined string. Attempting to combine a string and a number directly will cause an error, highlighting the importance of being mindful of data types in Python.