Academic Outcome Calculator

The Academic Outcome Predictor is a simple Python University Project designed to calculate progression outcomes of students. It determines the academic standing based on the total credits earned in different categories.

Key Concepts:

1. Functions and Local Variables:

   • Modularization of code through functions (horizontalSeparator, get_input, horizontal_histogram, vertical_histogram, main).
   • Functions are utilized for better organization, readability, and reusability.
   • Local variables within functions store temporary data, avoiding the use of unnecessary global variables.

2. Conditional Statements:

   • Conditional statements (if, elif, else) are employed to determine progression outcomes based on input marks.
   • Logical operators (&, >=, in, range) are utilized in conditions.

3. Data Storage (Python Lists):

   • Lists (lst) are employed to store and manage multiple sets of data.
   • Lists are utilized for storing progression outcome details.

4. Loops:

   • while loops are used to control the flow of the program until certain conditions are met.
   • Nested loops handle input validation and user interaction.

5. Exception Handling:

   • Exceptions are handled using try and except for input validation.
   • Ensuring the user enters valid integers for input.

This project emphasizes the importance of modular programming, effective use of functions, and proper data organization to enhance code maintainability and readability.