1. Data Processing and Computation – Summation of user-input costs, calculation of average daily temperature, applying discounts based on conditions.
2. Debugging and Code Correction – Identifying and fixing syntax errors, resolving IndexError and NameError, correcting logic errors in loops and calculations.
3. File Handling and Data Storage – Reading structured data from files, counting occurrences in datasets, writing uppercase text to a file, ensuring correct data formatting.
4. Mathematical Computation and Validation – Implementing geometric formulas, input validation with relational operators, rounding values and formatted output display.
5. String Manipulation and User Identification – Constructing user IDs using name concatenation, computing ASCII sum for numeric data, validating and formatting string inputs.
6. Authentication and Search Algorithms – Implementing username-password authentication, searching within two-dimensional arrays, handling incorrect logins with appropriate messages.