Increasing the Complexity of Basic Python Functions - Paint Cost Calculator

Have you thought of painting a room only to be lost in how to calculate how many gallons you would need, and what the total cost might be? This simple Python paint calculator solves this issue. There's a catch, though--you must have at least one cat to use this program. No cats? No paint calculator for you. (Seriously, get a cat.) 

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The conditional statement is a fun way to explore complexity in Python. The program prompts the user for the square footage of the walls, ceiling, cost per gallon of the paint, and the number of cats you own. All of these values could be constant, however, inputs allows customizability, and real-world application. Its utility comes from its reusability and simplicity.  

The principles of this program expand on my previous example, which you can find HERE. New explored concepts include the conditional statement, rounding, and a mix of constant and user prompted inputs. Conditional inputs, although in this example are just used jokingly, are crucial in code error prevention. As an example, a conditional statement could ensure an unexpected input from giving an error, instead explaining to the user the parameters of a valid input. 

Conditionals also allow for dynamic functionality. They tailor the different paths and outcomes based on user inputs. A message that suggests to the user to consider buying paint in wholesale might not be of any use unless the gallons to purchase exceed a certain value. Adding a conditional threshold improves the user experience through practicality and by engaging the user. 

A unique consideration for this program is incorporating rounding, since it is not possible to buy partial gallons. If you only need one and half gallons of paint, you would need to purchase two gallons to finish the job. 

Use the GitHub link to download and try out the programs for yourself.

EDIT: GitHub is obnoxious and deleted my original upload. It is no longer downloadable, but still viewable. I wrote the script in Jupyter and executed through Windows PowerShell before now transitioning over to Visual Studio Code (which I highly recommend).