add = lambda x, y: x + y

print("1. Add two numbers:", add(5, 3))

square = lambda x: x ** 2

print(" Square a number:", square(5))

numbers = [1, 2, 3, 4, 5]

squared = list(map(lambda x: x ** 2, numbers))

print("\n2. Squared numbers:", squared)

strings = list(map(lambda x: f"Number: {x}", numbers))

print(" As strings:", strings)

evens = list(filter(lambda x: x % 2 == 0, numbers))

print("\n3. Even numbers:", evens)

greater_than_3 = list(filter(lambda x: x > 3, numbers))

print(" Greater than 3:", greater_than_3)

students = [

{"name": "Alice", "grade": 85},

{"name": "Bob", "grade": 92},

{"name": "Charlie", "grade": 78}

]

sorted_students = sorted(students, key=lambda x: x["grade"], reverse=True)

print("\n4. Students sorted by grade:")

for student in sorted_students:

print(f" {student['name']}: {student['grade']}")

from functools import reduce

total = reduce(lambda x, y: x + y, numbers)

print("\n5. Sum of numbers:", total)

maximum = reduce(lambda x, y: x if x > y else y, numbers)

print(" Maximum value:", maximum)

celsius_temps = [0, 10, 20, 30]

fahrenheit = list(map(lambda c: (c * 9/5) + 32, celsius_temps))

print("\n6. Celsius to Fahrenheit:", fahrenheit)

data = [

[1, 2, 3],

[4, 5, 6],

[7, 8, 9]

]

flattened = reduce(lambda x, y: x + y, data)

even_flattened = list(filter(lambda x: x % 2 == 0, flattened))

print("\n7. Flattened even numbers:", even_flattened)

words = ["hello", "world", "python", "lambda"]

uppercase = list(map(lambda w: w.upper(), words))

print("\n8. Uppercase words:", uppercase)

long_words = list(filter(lambda w: len(w) > 5, words))

print(" Words with length > 5:", long_words)

classification = list(map(

lambda x: "even" if x % 2 == 0 else "odd",

numbers

))

print("\n9. Number classification:", classification)

prices = [100, 250, 50, 300]

discounted = list(map(

lambda p: p * 0.8 if p > 100 else p,

prices

))

print(" Discounted prices:", discounted)

data_list = ["[email protected]", "john_doe", "[email protected]", "invalid"]

emails = list(filter(lambda x: "@" in x and "." in x, data_list))

print("\n10. Valid emails:", emails)

items = [{"name": "apple", "price": 1.5}, {"name": "banana", "price": 0.8}]

total_with_tax = sum(map(lambda item: item["price"] * 1.1, items))

print(" Total with 10% tax:", round(total_with_tax, 2))

def apply_operation(x, y, operation):

return operation(x, y)

result1 = apply_operation(10, 5, lambda a, b: a + b)

result2 = apply_operation(10, 5, lambda a, b: a * b)

result3 = apply_operation(10, 5, lambda a, b: a ** b)

print("\n11. Custom operations:")

print(f" 10 + 5 = {result1}")

print(f" 10 * 5 = {result2}")

print(f" 10 ^ 5 = {result3}")

large_dataset = range(1, 1001)

result = len(list(filter(lambda x: x % 2 == 0 and x > 500, large_dataset)))

print(f"\n12. Count of even numbers > 500: {result}")

print("\n✓ Lambda functions are perfect for small, quick operations!")

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