Impara Lambda Functions in Python: Writing Concise and Anonymous Functions

In Python, lambda functions are anonymous functions defined using the lambda keyword. They are often used for short, single-operation functions without a name, and can be passed as arguments to other functions, just like regular functions.

Here's an example demonstrating how to pass a lambda function as an argument to another function:


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# Define a function that takes a function and a value as arguments
def apply_function(func, value):
    return func(value)

# Call the function with a lambda function as the first argument
result = apply_function(lambda x: x * x, 5)

print(result)

apply_function is a function that accepts another function (func) and a value (value), and then applies func to value.
A lambda function lambda x: x * x is defined inline and passed as an argument to apply_function. This lambda function squares its input.
The apply_function is called with the lambda function and the value 5, resulting in the lambda function squaring 5, which yields 25.

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Suppose you have a list of numbers, and you want to apply different operations to the same list, like adding a constant value to each element or multiplying each element by a constant.

apply_to_list is our custom function that applies a given function (func) to each element in numbers.
We call apply_to_list twice with different lambda functions.
The first lambda function (lambda x: x + 10) adds 10 to each element.
The second lambda function (lambda x: x * 2) multiplies each element by 2.

Actually, we are creating our own version of the map function.

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Sezione 3. Capitolo 2

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