Python practice: List Comprehensions & Inline Filtering

Given prices = [100, 200, 300], create taxed = [p * 1.18 for p in prices] using a list comprehension and print taxed:

Given orders = [450, 1200, 890, 2300, 310], filter orders >= 1000 using [o for o in orders if o >= 1000]. Print large:

Given units = [12, 5, 20, 8], create labels: ["Bulk" if u >= 10 else "Standard" for u in units]. Print labels:

Given raw = [" pune ", "MUMBAI", " delhi "], normalize them using [c.strip().title() for c in raw]. Print clean:

Given products = ["Desk", "Chair", "Monitor"], create a list of character lengths using [len(p) for p in products]. Print lengths:

Given deals = [{"rep": "Asha", "val": 1200}, {"rep": "Ravi", "val": 800}], extract rep names where val >= 1000. Print reps:

Given raw_nums = ["10", "25", "40", "15"], convert each string to an int using comprehension and print int_nums:

Given prices = [500, 1200, 300, 2000], apply a 10% discount to items over 1000 (leaving others unchanged). Print final_prices: