How do you use lambda functions as arguments to higher-order functions like map, filter, and sorted

Using Lambda Functions with map, filter, and sorted in Python

Lambda functions are often used as arguments to higher-order functions like map, filter, and sorted to perform quick, one-time operations without defining a full-fledged function with "def". In this context, lambda functions provide a concise and expressive way to write functional code.

Here's how to use lambda functions with each higher-order function:

Using Lambda Functions with 'map':

A map function applies a given function to each element of an iterable (e.g., list, tuple) and returns an iterator containing the results. You can use a lambda function with 'map' to perform a specific operation on each element.

Syntax:

map(lambda arguments: expression, iterable)

Example:

# Find the cube of each list element.
nums = [1, 2, 3, 4, 5]
cube_numbers = map(lambda x: x ** 3, nums)
print(list(cube_numbers))  # Output: [1, 8, 27, 64, 125]

Using Lambda Functions with filter:

A filter function filters elements from an iterable based on a given condition (defined by a lambda function) and returns an iterator of elements that satisfy the condition.

Syntax:

filter(lambda arguments: condition, iterable)

Example:

# Find the odd numbers from a list of numbers
nums = [1, 2, 3, 4, 5]
odd_numbers = filter(lambda x: x % 2 != 0, nums)
print(list(odd_numbers))  # Output: [1, 3, 5]

Using Lambda Functions with sorted:

The sorted function sorts the elements of an iterable based on a specified key (defined by the lambda function) and returns a new sorted list.

Syntax:

sorted(iterable, key=lambda arguments: key_expression)

Example:

# Sort the elements of a list of strings
colors = ['red', 'white', 'green', 'orange']
sorted_colors = sorted(colors, key=lambda x: len(x))
print(sorted_colors)  # Output:['red', 'white', 'green', 'orange']