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Data Types in Python

Useful ConvertingUseful Converting

The int() function can be useful if you're working with numerical data. For instance, imagine that we have a lot of numbers that need to be modified, but all of them have a string data type. This code leads to an error:

Here, Python tries to concatenate the strings, but indeed its functionality doesn't allow it to do so, since 10 is related to the integer data type (concatenation can be applied only to strings).

To correctly sum these numbers, you should initially transform the string into an integer using int() function:


Hence, your objective in this context is to address this issue. Consider a scenario where you have three price values, but an individual lacks the proficiency to manipulate data in a numerical format. Consequently, you are required to handle prices associated with the string data type.

  1. Increase price1 by 15.
  2. Increase price2 by 780.
  3. Decrease price3 by 90.
  4. Print the corrected variables.

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Section 4. Chapter 2
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