Lab 10: Advanced Python Selections

Pull and Update in VS Code

Before starting any lab, you need to make sure that the repo in your GitHub is the latest one. Sync the repo if the upstream repo have been updated.

Once the online repo is in-sync, bring those changes down to your PC by clicking Source Control and then ... beside Changes and click Pull.

More Selection Exercises

Launch VS Code and navigate to /labs/lab10/ to begin the exercises.

Exercise 1: Employee Overtime Pay Calculator Task

Calculate employee overtime pay with simplified rate structure.

Salary Structure:

• Base hourly rates: Manager RM35, Supervisor RM25, Staff RM18
• Overtime rate: 1.5x base rate for all overtime hours
• Weekend bonus: Extra RM5 for each overtime hour worked on weekends, calculated separately from overtime pay and then added to total

Create /labs/lab10/exercise1/exercise1.py:

position = input()
overtime_hours = int(input())
is_weekend = input()

# TODO: Your code here

print(hourly_rate)
print(overtime_pay)
print(total_pay)

Exercise 2: Insurance Premium Calculator Task

Calculate insurance premiums based on age and accident history.

Premium Calculation:

• Base premium by age: Under 25 = RM2400, 25-50 = RM1800, Over 50 = RM2000
• Accident penalty: 0 accidents = No penalty, 1-2 accidents = +RM300, 3+ accidents = +RM600
• Good driver discount: No accidents = 10% off final premium

Create /labs/lab10/exercise2/exercise2.py:

age = int(input())
accident_count = int(input())

# TODO: Your code here

print(base_premium)
print(final_premium)
print(discount_amount)

Exercise 3: Loan Calculator Task

Determine loan approval status based on income and credit score.

Loan Assessment Criteria:

• Income requirements: Minimum RM4000 for approval
• Credit score tiers: Excellent (700+) = 3.5% rate, Good (600-699) = 5.5% rate, Poor (<600) = Rejected with 0% interest rate
• Maximum loan amount: 5x monthly income

Approval Status:

• Approved: Income ≥ RM4000 AND credit score ≥ 600 AND loan amount ≤ 5x income
• Rejected: Fails any criteria (interest rate = 0%)

Create /labs/lab10/exercise3/exercise3.py:

monthly_income = int(input())
credit_score = int(input())
loan_amount = int(input())

# TODO: Your code here

print(interest_rate)
print(max_loan_amount)
print(approval_status)

Testing Your Solutions

Use pytest to verify your implementations work correctly:

1. Navigate to each exercise folder
2. Run the tests using VS Code's Test Explorer
3. Fix any failing test cases
4. Ensure all tests pass before moving to the next exercise

Commit and Push Your Work

After completing all exercises, commit your solutions to your repository. Make sure all test files are properly saved and your code follows the required input/output format for automated testing.