Python Mastery: 50 lambda Function in Various Scenarios for Data Manipulation

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Lambda functions, also known as anonymous functions, are concise functions in Python defined using the lambda keyword. They are useful in situations where a small, temporary function is needed for a short period. Here are some examples of lambda functions in different scenarios:

1. Basic Arithmetic Operation:

add = lambda x, y: x + y
result = add(3, 5)  # Result: 8

2. Filtering a List:

numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9]
even_numbers = list(filter(lambda x: x % 2 == 0, numbers))
# Result: [2, 4, 6, 8]

3. Mapping a List:

numbers = [1, 2, 3, 4, 5]
squared_numbers = list(map(lambda x: x**2, numbers))
# Result: [1, 4, 9, 16, 25]

4. Sorting a List of Tuples by the Second Element:

pairs = [(1, 3), (2, 1), (4, 5), (3, 2)]
sorted_pairs = sorted(pairs, key=lambda x: x[1])
# Result: [(2, 1), (3, 2), (1, 3), (4, 5)]

5. Conditional Expression:

is_even = lambda x: True if x % 2 == 0 else False
result = is_even(4)  # Result: True

6. Creating a Simple Calculator:

calculator = lambda x, y, operation: x + y if operation == 'add' else x - y
result = calculator(5, 3, 'add')  # Result: 8

7. Key Function for Sorting Strings by Length:

words = ['apple', 'banana', 'kiwi', 'orange']
sorted_words = sorted(words, key=lambda x: len(x))
# Result: ['kiwi', 'apple', 'banana', 'orange']

8. Checking for Palindrome:

is_palindrome = lambda s: s == s[::-1]
result = is_palindrome('radar')  # Result: True

9. Using map with Multiple Lists:

list1 = [1, 2, 3]
list2 = [4, 5, 6]
combined_list = list(map(lambda x, y: x + y, list1, list2))
# Result: [5, 7, 9]

10. Squaring Even Numbers and Cubing Odd Numbers in a List: